Author: "Jean-Philippe, Ranjeva" / Topic: 030217 neurology & neurosurgery - Searchworks@Jio Institute Digital Library Search Results

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1. T1-Based Synthetic Magnetic Resonance Contrasts Improve Multiple Sclerosis and Focal Epilepsy Imaging at 7 T

Author: Jean-Philippe Ranjeva, Thomas Troalen, Tobias Kober, Axel Bartoli, Aurélien Massire, Virginie Callot, Charlotte Seiler, Gilles Brun, Olivier M. Girard, Pierre Lehmann, Maxime Guye, Fabrice Bartolomei, Jean Pelletier, Bertrand Audoin, Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - AP-HM] (CEMEREM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)- Hôpital de la Timone [CHU - APHM] (TIMONE), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE)-Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Institut de Neurosciences des Systèmes (INS), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Aix Marseille Université (AMU), and Assistance Publique - Hôpitaux de Marseille (APHM)
Subjects: medicine.medical_specialty, Magnetic Resonance Spectroscopy, genetic structures, Lesion Identification, Wilcoxon signed-rank test, Image quality, [SDV]Life Sciences [q-bio], 7 t, ultra-high field mri, multiple sclerosis, 030218 nuclear medicine & medical imaging, Lesion, [SPI]Engineering Sciences [physics], 03 medical and health sciences, Epilepsy, 0302 clinical medicine, medicine, Humans, neuroradiology, Radiology, Nuclear Medicine and imaging, ComputingMilieux_MISCELLANEOUS, Retrospective Studies, medicine.diagnostic_test, synthetic mri, business.industry, Multiple sclerosis, Brain, Magnetic resonance imaging, General Medicine, medicine.disease, Magnetic Resonance Imaging, 3. Good health, Multiple comparisons problem, epilepsy, Epilepsies, Partial, Radiology, medicine.symptom, business, mp2rage, 030217 neurology & neurosurgery
Abstract: Objectives, Ultra-high field magnetic resonance imaging (MRI) (>= 7 T) is a unique opportunity to improve the clinical diagnosis of brain pathologies, such as multiple sclerosis or focal epilepsy. However, several shortcomings of 7 T MRI, such as radiofrequency field inhomogeneities, could degrade image quality and hinder radiological interpretation. To address these challenges, an original synthetic MRI method based on T-1 mapping achieved with the magnetization-prepared 2 rapid acquisition gradient echo (MP2RAGE) sequence was developed. The radiological quality of on-demand T-1-based contrasts generated by this technique was evaluated in multiple sclerosis and focal epilepsy imaging at 7 T. Materials and Methods, This retrospective study was carried out from October 2017 to September 2019 and included 21 patients with different phenotypes of multiple sclerosis and 35 patients with focal epilepsy who underwent MRI brain examinations using a whole-body investigative 7 T magnetic resonance system. The quality of 2 proposed synthetic contrast images were assessed and compared with conventional images acquired at 7 T using the MP2RAGE sequence by 4 radiologists, evaluating 3 qualitative criteria: signal homogeneity, contrast intensity, and lesion visualization. Statistical analyses were performed on reported quality scores using Wilcoxon rank tests and further multiple comparisons tests. Intraobserver and interobserver reliabilities were calculated as well. Results, Radiological quality scores were reported higher for synthetic images when compared with original images, regardless of contrast, pathologies, or raters considered, with significant differences found for all 3 criteria (P < 0.0001, Wilcoxon rank test). None of the 4 radiologists ever rated a synthetic image "markedly worse" than an original image. Synthetic images were rated slightly less satisfying for only 3 epileptic patients, without precluding lesion identification. Conclusion, T-1-based synthetic MRI with the MP2RAGE sequence provided on-demand contrasts and high-quality images to the radiologist, facilitating lesion visualization in multiple sclerosis and focal epilepsy, while reducing the magnetic resonance examination total duration by removing an additional sequence.
Published: 2020

2. An Alzheimer Disease Challenge Model: 24-Hour Sleep Deprivation in Healthy Volunteers, Impact on Working Memory, and Reversal Effect of Pharmacological Intervention

Author: Jean-Philippe Ranjeva, Romain Truillet, Christine Audebert, Joëlle Micallef, Alexandra Auffret, Jill C. Richardson, Marie-Noëlle Lefebvre, Céline Vervueren, Dominique Deplanque, Laura Lanteaume, David Bartrés-Faz, Anna Chan Kwong, Arnaud Beck, Catherine Cassé-Perrot, Pierre Payoux, Amélie Ponchel, Franck Rouby, Elisabeth Jouve, Marie-Claude Costes-Salon, Olivier Blin, Claudio Babilon, and Régis Bordet
Subjects: Adult, Male, Modafinil, Models, Psychological, Neuropsychological Tests, Placebo, law.invention, 03 medical and health sciences, 0302 clinical medicine, Double-Blind Method, Randomized controlled trial, Alzheimer Disease, Memantine, law, Reaction Time, medicine, Humans, Cognitive Dysfunction, Donepezil, Pharmacology (medical), Nootropic Agents, Cross-Over Studies, business.industry, medicine.disease, Crossover study, Healthy Volunteers, 030227 psychiatry, 3. Good health, Psychiatry and Mental health, Sleep deprivation, Memory, Short-Term, Anesthesia, Sleep Deprivation, medicine.symptom, Alzheimer's disease, business, 030217 neurology & neurosurgery, medicine.drug
Abstract: Purpose/background Alzheimer disease (AD) is a public health issue because of the low number of symptomatic drugs and the difficulty to diagnose it at the prodromal stage. The need to develop new treatments and to validate sensitive tests for early diagnosis could be met by developing a challenge model reproducing cognitive impairments of AD. Therefore, we implemented a 24-hour sleep deprivation (SD) design on healthy volunteers in a randomized, double-blind, placebo-controlled, crossover study on 36 healthy volunteers. Methods/procedure To validate the SD model, cognitive tests were chosen to assess a transient worsening of cognitive functions after SD and a restoration under modafinil as positive control (one dose of 200 mg). Then, the same evaluations were replicated after 15 days of donepezil (5 mg/d) or memantine (10 mg/d). The working memory (WM) function was assessed by the N-back task and the rapid visual processing (RVP) task. Findings/results The accuracy of the N-back task and the reaction time of the RVP revealed the alteration of the WM with SD and its restoration with modafinil (changes in score after SD compared with baseline before SD), respectively, in the placebo group and in the modafinil group (-0.2% and +1.0% of satisfactory answers, P = 0.022; +21.3 and +1.9 milliseconds of reaction time, P = 0.025). Alzheimer disease drugs also tended to reverse this deterioration: the accuracy of the N-back task was more stable through SD (compared with -3.0% in the placebo group, respectively, in the memantine group and in the donepezil group: -1.4% and -1.6%, P = 0.027 and P = 0.092) and RVP reaction time was less impacted (compared with +41.3 milliseconds in the placebo group, respectively, in the memantine group and in the donepezil group: +16.1 and +29.3 milliseconds, P = 0.034 and P = 0.459). Implications/conclusions Our SD challenge model actually led to a worsening of WM that was moderated by both modafinil and AD drugs. To use this approach, the cognitive battery, the vulnerability of the subjects to SD, and the expected drug effect should be carefully considered.
Published: 2020

3. Automatic segmentation of deep grey nuclei using a high‐resolution 7T magnetic resonance imaging atlas—Quantification of T1 values in healthy volunteers

Author: Gilles Brun, Benoit Testud, Olivier M. Girard, Pierre Lehmann, Ludovic de Rochefort, Pierre Besson, Aurélien Massire, Ben Ridley, Nadine Girard, Maxime Guye, Jean‐Philippe Ranjeva, Arnaud Le Troter, Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), and Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Brain Mapping, T1 relaxometry, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, General Neuroscience, Ultra-high field, Template, 7Tesla, Brain, Magnetic Resonance Imaging, Healthy Volunteers, 030218 nuclear medicine & medical imaging, MP2RAGE, Shape-Based Averaging, 03 medical and health sciences, 0302 clinical medicine, Deep Grey Nuclei, Thalamic Nuclei, Image Processing, Computer-Assisted, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Humans, 030217 neurology & neurosurgery, Consensus-Atlas
Abstract: International audience; We present a new consensus atlas of deep grey nuclei obtained by shape-based averaging of manual segmentation of two experienced neuroradiologists and optimized from 7T MP2RAGE images acquired at (0.6mm) 3 in 60 healthy subjects. A group-wise normalization method was used to build a high-contrast and high-resolution T1-weighted brain template (0.5mm) 3 using data from 30 out of the 60 controls. Delineation of 24 deep grey nuclei per hemisphere, including the claustrum and twelve thalamic nuclei, was then performed by two expert neuroradiologists and reviewed by a third neuroradiologist according to tissue contrast and external references based on the Morel atlas. Corresponding deep grey matter structures were also extracted from the Morel and CIT168 atlases. The data-derived, Morel and CIT168 atlases were all applied at the individual level using non-linear registration to fit the subject reference and to extract absolute mean quantitative T1 values derived from the 3D-MP2RAGE volumes, after correction for residual B1 + biases. Three metrics (The Dice and the volumetric similarity coefficients, and a novel Hausdorff distance) were used to estimate the inter-rater agreement of manual MRI segmentation and inter-atlas variability, and these metrics were measured to quantify biases due to image registration and their impact on the measurements of the quantitative T1 values was highlighted. This represents a fully-automated segmentation process permitting the extraction of unbiased normative T1 values in a population of young healthy controls as a reference for characterizing subtle structural alterations of deep grey nuclei relevant to a range of neurological diseases.
Published: 2022

4. A Motion Correction Strategy for Multi-Contrast based 3D parametric imaging: Application to Inhomogeneous Magnetization Transfer (ihMT)

Author: Jean-Philippe Ranjeva, Maxime Guye, Lucas Soustelle, Olivier M. Girard, Gopal Varma, Guillaume Duhamel, Jean Pelletier, Arnaud Le Troter, David C. Alsop, Andreea Hertanu, Julien Lamy, Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - AP-HM] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE)-Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Harvard Medical School [Boston] (HMS), ANR-17-CE18-0030,verISMO,IRM du transfert d'aimantation inhomogène : vers un nouveau biomarqueur in vivo spécifique et sensible de la myéline(2017), Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)-Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)- Hôpital de la Timone [CHU - APHM] (TIMONE), Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Réseau nanophotonique et optique, Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Matériaux et nanosciences d'Alsace (FMNGE), Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Duhamel, Guillaume, IRM du transfert d'aimantation inhomogène : vers un nouveau biomarqueur in vivo spécifique et sensible de la myéline - - verISMO2017 - ANR-17-CE18-0030 - AAPG2017 - VALID, and Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] (CEMEREM)
Subjects: Computer science, business.industry, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Image registration, Function (mathematics), Motion correction, 030218 nuclear medicine & medical imaging, Image (mathematics), 03 medical and health sciences, 0302 clinical medicine, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Multi contrast, Parametric imaging, Computer vision, Magnetization transfer, Artificial intelligence, business, 030217 neurology & neurosurgery
Abstract: PurposeTo propose an efficient retrospective image-based method for motion correction of multi-contrast acquisitions with a low number of available images (MC-MoCo) and evaluate its use in 3D inhomogeneous Magnetization Transfer (ihMT) experiments in the human brain.MethodsA framework for motion correction, including image pre-processing enhancement and rigid registration to an iteratively improved target image, was developed. The proposed method was compared to Motion Correction with FMRIB’s Linear Image Registration Tool (MCFLIRT) function in FSL over 13 subjects. Native (pre-correction) and residual (post-correction) motions were evaluated by means of markers positioned at well-defined anatomical regions over each image.ResultsBoth motion correction strategies significantly reduced inter-image misalignment, and the MC-MoCo method yielded significantly better results than MCFLIRT.ConclusionMC-MoCo is a high-performance method for motion correction of multi-contrast volumes as in 3D ihMT imaging.
Published: 2021

5. A strategy to reduce the sensitivity of inhomogeneous Magnetization Transfer (ihMT) imaging to radiofrequency transmit field variations at 3 T

Author: Maxime Guye, Thomas Troalen, Gopal Varma, Jean-Philippe Ranjeva, Andreea Hertanu, David C. Alsop, Guillaume Duhamel, Lucas Soustelle, Olivier M. Girard, Samira Mchinda, Centre de résonance magnétique biologique et médicale (CRMBM), Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Marseille] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE), Siemens Healthcare [France], Siemens AG [Munich], Beth Israel Deaconess Medical Center [Boston] (BIDMC), Harvard Medical School [Boston] (HMS), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE)-Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), and ANR-17-CE18-0030,verISMO,IRM du transfert d'aimantation inhomogène : vers un nouveau biomarqueur in vivo spécifique et sensible de la myéline(2017)
Subjects: Reproducibility, Materials science, Radio Waves, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Brain, Reproducibility of Results, Magnetic Resonance Imaging, White Matter, Healthy Volunteers, 030218 nuclear medicine & medical imaging, Computational physics, Power (physics), Root mean square, 03 medical and health sciences, 0302 clinical medicine, Humans, Radiology, Nuclear Medicine and imaging, Radio frequency, Magnetization transfer, Sensitivity (control systems), Saturation (chemistry), 030217 neurology & neurosurgery, Energy (signal processing)
Abstract: International audience; PurposeTo minimize the sensitivity of inhomogeneous magnetization transfer gradient-echo (ihMT-GRE) imaging to radiofrequency (RF) transmit field (urn:x-wiley:07403194:media:mrm29055:mrm29055-math-0003) inhomogeneities at 3 T.MethodsThe ihMT-GRE sequence was optimized by varying the concentration of the RF saturation energy over time, obtained by increasing the saturation pulse power while extending the sequence repetition time (TR). Different protocols were tested using numerical simulations and human in vivo experiments in the brain white matter (WM) of healthy subjects at 3 T. The sensitivity of the ihMT ratio (ihMTR) to urn:x-wiley:07403194:media:mrm29055:mrm29055-math-0004 variations was investigated by comparing measurements obtained at nominal transmitter adjustments and following a 20% global urn:x-wiley:07403194:media:mrm29055:mrm29055-math-0005 drop. The resulting relative variations (δihMTR) were evaluated voxelwise as a function of the local urn:x-wiley:07403194:media:mrm29055:mrm29055-math-0006 distribution. The reproducibility of the protocol providing minimal urn:x-wiley:07403194:media:mrm29055:mrm29055-math-0007 bias was assessed in a test-retest experiment.ResultsIn line with simulations, ihMT-GRE experiments conducted at high concentration of the RF energy over time demonstrated strong reduction of the urn:x-wiley:07403194:media:mrm29055:mrm29055-math-0008 inhomogeneity effects in the human WM. Under the optimal conditions of 350-ms TR and 3-µT root mean square (RMS) saturation power, 73% of all WM voxels presented δihMTR below 10%. Reproducibility analysis yielded a close-to-zero systematic bias (ΔihMTR = −0.081%) and a high correlation (ρ² = 0.977) between test and retest experiments.ConclusionConcentrating RF saturation energy in ihMT-GRE sequences mitigates the sensitivity of the ihMTR to urn:x-wiley:07403194:media:mrm29055:mrm29055-math-0009 variations and allows for clinical-ready ihMT imaging at 3 T. This feature is of particular interest for high and ultra-high field applications.
Published: 2021

6. Increased Sodium Concentration in Substantia Nigra in Early Parkinson's Disease: A Preliminary Study With Ultra-High Field (7T) MRI

Author: Stephan Grimaldi, Mohamed Mounir El Mendili, Wafaa Zaaraoui, Jean-Philippe Ranjeva, Jean-Philippe Azulay, Alexandre Eusebio, Maxime Guye, Hôpital de la Timone [CHU - APHM] (TIMONE), Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - AP-HM] (CEMEREM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)- Hôpital de la Timone [CHU - APHM] (TIMONE), ANR-15-CE19-0019,NEUROintraSOD-7T,Nouvelles stratégies pour quantifier in vivo les concentrations cérébrales intracellulaires de sodium par IRM 7T chez l'homme. Application à l'évaluation de la neurodégénérescence corticale et sous-corticale dans la sclérose en plaques(2015), ANR-11-INBS-0006,FLI,France Life Imaging(2011), ANR-11-EQPX-0001,7T AMI,Projet d'Aix-Marseille Université pour l'IRM 7T chez l'homme(2011), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE)-Centre de résonance magnétique biologique et médicale (CRMBM), and Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)
Subjects: medicine.medical_specialty, Parkinson's disease, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Sodium, [SDV]Life Sciences [q-bio], Caudate nucleus, chemistry.chemical_element, Substantia nigra, 03 medical and health sciences, 0302 clinical medicine, Atrophy, Internal medicine, medicine, RC346-429, 10. No inequality, sodium, Original Research, 030304 developmental biology, 0303 health sciences, business.industry, Putamen, Neurodegeneration, neurodegeneration, medicine.disease, Pathophysiology, 3. Good health, Endocrinology, Neurology, chemistry, ultra high field magnetic resonance imaging, biomarker, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Neurology. Diseases of the nervous system, Neurology (clinical), business, 030217 neurology & neurosurgery, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract: Pathophysiology of idiopathic Parkinson's disease (iPD) is complex and still misunderstood. At a time when treatments with disease-modifying potential are being developed, identification of early markers of neurodegeneration is essential. Intracerebral sodium accumulation could be one of them. Indeed, it may be in relation to the mitochondrial dysfunction that early exists in iPD. For the first time, we used brain sodium (23Na) MRI to explore sodium concentration changes that have already been reported to be related to neurodegeneration in other diseases. We prospectively included 10 iPD patients (mean age 52.2 ± 5.9 years-old) with motor symptoms that started 1H) and 23Na MRI at 7T. We then extracted quantitative Total Sodium Concentration (TSC) from five regions of interest known to be early impaired in iPD [substantia nigra (SN), putamen, caudate nucleus, pallidum, thalamus] and in one region supposed to be relatively spared in the first stages of the disease [cortical gray matter (neocortex)]. Potential atrophy in these structures was also investigated with 1H MRI. Relative to healthy subjects, iPD patients showed higher TSC in the SN (43.73 ± 4.64 vs. 37.72 ± 5.62, p = 0.006 after Bonferroni correction). A trend of increase in sodium concentrations was found within the pallidum (45.80 ± 4.19 vs. 41.07 ± 4.94, p = 0.017), putamen (48.65 ± 4.58 vs. 43.66 ± 5.04, p = 0.041) and the cortical gray matter (56.34 ± 3.92 vs. 50.81 ± 5.50, p = 0.021). No significant brain atrophy was found in patients compared to controls. Thus, alteration of sodium homeostasis in the SN in the absence of atrophy could be considered as a potential early marker of cellular dysfunction in iPD.
Published: 2021

7. Epileptogenic networks in drug-resistant epilepsy with amygdala enlargement: Assessment with stereo-EEG and 7 T MRI

Author: Maxime Guye, Jean-Philippe Ranjeva, Samuel Medina Villalon, Julia Makhalova, Sandrine Aubert-Conil, Agnès Trébuchon, Romain Carron, Christian Bénar, Bernard Giusiano, Aileen McGonigal, Fabrice Bartolomei, Arnaud Le Troter, Centre de résonance magnétique biologique et médicale (CRMBM), Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Service de neurophysiologie clinique [Hôpital de la Timone - APHM], Hôpital de la Timone [CHU - APHM] (TIMONE), AP-HM, Pôle d'imagerie médicale, Hôpital de la Timone, CEMEREM, Marseille, France, Institut de Neurosciences des Systèmes (INS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Aix Marseille Université (AMU), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE)-Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), and Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Subjects: Adult, Male, Drug Resistant Epilepsy, Adolescent, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Amygdala, Epileptogenesis, 03 medical and health sciences, Epilepsy, Young Adult, 0302 clinical medicine, Stereo eeg, Physiology (medical), Medicine, Humans, Child, ComputingMilieux_MISCELLANEOUS, Depression (differential diagnoses), 030304 developmental biology, 0303 health sciences, Brain Mapping, business.industry, Electroencephalography, medicine.disease, Magnetic Resonance Imaging, Sensory Systems, medicine.anatomical_structure, nervous system, Neurology, Child, Preschool, Etiology, Anxiety, Female, Neurology (clinical), Epilepsies, Partial, medicine.symptom, Nerve Net, business, Neuroscience, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology, psychological phenomena and processes, 030217 neurology & neurosurgery
Abstract: Objective Amygdala enlargement is increasingly described in association with temporal lobe epilepsies. Its significance, however, remains uncertain both in terms of etiology and its link with psychiatric disorders and of its involvement in the epileptogenic zone. We assessed the epileptogenic networks underlying drug-resistant epilepsy with amygdala enlargement and investigated correlations between clinical features, epileptogenicity and morphovolumetric amygdala characteristics. Methods We identified 12 consecutive patients suffering from drug-resistant epilepsy with visually suspected amygdala enlargement and available stereoelectroencephalographic recording. The epileptogenic zone was defined using the Connectivity Epileptogenicity Index. Morphovolumetric measurements were performed using automatic segmentation and co-registration on the 7TAMIbrain Amygdala atlas. Results The epileptogenic zone involved the enlarged amygdala in all but three cases and corresponded to distributed, temporal-insular, temporal-insular-prefrontal or prefrontal-temporal networks in ten cases, while only two were temporo-mesial networks. Morphovolumetrically, amygdala enlargement was bilateral in 75% of patients. Most patients presented psychiatric comorbidities (anxiety, depression, posttraumatic stress disorder). The level of depression defined by screening questionnaire was positively correlated with the extent of amygdala enlargement. Conclusions Drug-resistant epilepsy with amygdala enlargement is heterogeneous; most cases implied “temporal plus” networks. Significance The enlarged amygdala could reflect an interaction of stress-mediated limbic network alterations and mechanisms of epileptogenesis.
Published: 2021

8. Aquaporin 4 distribution in the brain and its relevance for the radiological appearance of neuromyelitis optica spectrum disease

Author: Roxana Ameli, Charles R.G. Guttmann, Juan Carlos Prieto, Fabien Rollot, Miklos Palotai, Sandra Vukusic, Romain Marignier, François Cotton, René Anxionnat, Jean-Paul Armspach, Bertrand Audoin, Christian Barillot, Isabelle Berry, Fabrice Bonneville, Claire Boutet, Giovanni Castelnovo, Frédéric Cervenanski, Mikael Cohen, Olivier Commowick, Jerome De Seze, Vincent Dousset, Francoise Durand-Dubief, Gilles Edan, Jean-Christophe Ferre, Damien Galanaud, Tristan Glattard, Sylvie Grand, Justine Guillaumont, Rémy Guillevin, Salem Hannoun, Fabrice Heitz, Alexandre Krainik, Stéphane Kremer, Pierre Labauge, Nicolas Menjot De Champfleur, Jean-Philippe Ranjeva, Jean-Amédée Roch, Dominique Sappey-Marinier, Julien Savatovsky, Bruno Stankoff, Ayman Tourbah, Thomas Tourdias, Bruno Brochet, Michel Clanet, Nathalie Dufay, David Laplaud, Marie-Claire Maze, Thibault Moreau, Cédric Trolliet, Bernard Frangoulis, Javier Olaiz, Jean Pelletier, Bertrand Bourre, David Brassat, Philippe Cabre, Jean-Philippe Camdessanche, William Camu, Olivier Casez, Pierre Clavelou, Nicolas Collongues, Alain Creange, Gilles Defer, Marc Debouverie, Olivier Gout, Christine Lebrun-Frenay, Catherine Lubetzki, Caroline Papeix, Patrick Vermersch, Hélène Zephir, Service de Radiologie [Hôpital Femme Mère Enfant - HCL], Hôpital Femme Mère Enfant [CHU - HCL] (HFME), Hospices Civils de Lyon (HCL)-Hospices Civils de Lyon (HCL), Department of Radiology [Boston], Brigham and Women's Hospital [Boston], Observatoire Français de la Sclérose En Plaques [Lyon] (OFSEP), Service de Neurologie [Lyon], CHU Lyon, Centre de recherche en neurosciences de Lyon - Lyon Neuroscience Research Center (CRNL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Imagerie Adaptative Diagnostique et Interventionnelle (IADI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE)-Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Neuroimagerie: méthodes et applications (Empenn), Institut National de la Santé et de la Recherche Médicale (INSERM)-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE (IRISA-D5), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Service de Médecine Nucléaire - Pierre-Paul Riquet [CHU Toulouse], Pôle imagerie médicale [CHU Toulouse], Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Pôle Neurosciences [CHU Toulouse], Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Service de Radiologie [CHU Saint-Etienne], Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E)-Université Jean Monnet - Saint-Étienne (UJM), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Service de Neurologie [CHU Nice], Hôpital Pasteur [Nice] (CHU)-Centre Hospitalier Universitaire de Nice (CHU Nice), CHU Strasbourg, Neurocentre Magendie : Physiopathologie de la Plasticité Neuronale (U1215 Inserm - UB), Université de Bordeaux (UB)-Institut François Magendie-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de neuroradiologie [Grenoble], CHU Grenoble, Centre hospitalier universitaire de Poitiers (CHU Poitiers), Département de neurologie [Montpellier], Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Hôpital Gui de Chauliac [CHU Montpellier], Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Université de Montpellier (UM), Institut d’Imagerie Fonctionnelle Humaine [CHU Montpellier] (I2FH), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Hôpital privé Jean Mermoz [Lyon], CHU Rothschild [AP-HP], CHU Tenon [AP-HP], Université de Reims Champagne-Ardenne (URCA), Service de neurologie [Bordeaux], CHU Bordeaux [Bordeaux]-Groupe hospitalier Pellegrin, Neurologie Vasculaire [Toulouse], Service de neurochirurgie [CHU Nantes], Centre hospitalier universitaire de Nantes (CHU Nantes)-Hôpital Guillaume-et-René-Laennec [Saint-Herblain], Service de Neurologie générale, vasculaire et dégénérative (CHU de Dijon), Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Fondation Eugène Devic EDMUS, Hôpital Charles Nicolle [Rouen], CHU Rouen, Normandie Université (NU)-Normandie Université (NU), Hôpital Albert Clarac [CHU de la Martinique], CHU de la Martinique [Fort de France], Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E), Institut de Biologie Computationnelle (IBC), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Département de neurologie, Université Joseph Fourier - Grenoble 1 (UJF)-CHU Grenoble, Service de Neurologie [CHU Clermont-Ferrand], CHU Gabriel Montpied [Clermont-Ferrand], CHU Clermont-Ferrand-CHU Clermont-Ferrand-CHU Estaing [Clermont-Ferrand], CHU Clermont-Ferrand, Hôpital de Hautepierre [Strasbourg], Département de neurosciences (CHU Henri Mondor), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Henri Mondor, Service de Neurologie [CHU Caen], Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Tumorothèque de Caen Basse-Normandie (TCBN), Service de neurologie [CHRU Nancy], Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Département de neurologie [Lille], Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et nanosciences d'Alsace (FMNGE), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - AP-HM] (CEMEREM), Empenn, Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Service de Médecine Nucléaire [Toulouse], CHU Toulouse [Toulouse], Pôle neurosciences [Hôpital de Purpan - Toulouse], Service de radiologie [Saint-Etienne], CHU Saint-Etienne-Université Jean Monnet [Saint-Étienne] (UJM), Service de Neuroradiologie [CHU Pitié-Salpêtrière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Hôpital Gui de Chauliac [Montpellier]-Université de Montpellier (UM), Hôpital Rothschild [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-CHU Toulouse [Toulouse], Service de neurochirurgie [Nantes], Hôpital Nord (Saint Etienne), Service de Neurologie [CHU Pitié-Salpêtrière], IFR70-CHU Pitié-Salpêtrière [AP-HP], and Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)
Subjects: Male, Pathology, medicine.medical_specialty, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Myelitis, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, medicine, Humans, Radiology, Nuclear Medicine and imaging, Clinical significance, Retrospective Studies, Aquaporin 4, Neuromyelitis optica, Radiological and Ultrasound Technology, business.industry, Incidence (epidemiology), Neuromyelitis Optica, Brain, Human brain, Middle Aged, medicine.disease, Spinal cord, Magnetic Resonance Imaging, medicine.anatomical_structure, Cohort, Female, Neurology (clinical), business, 030217 neurology & neurosurgery
Abstract: International audience; Background and purposeTo determine the precise incidence of lesions at sites of high Aquaporin-4 expression (hAQP4) and their possible association with known neuromyelitis optica spectrum disease (NMOSD) lesions patterns.Materials and methodsA retrospective analysis of brain and, when available, spinal cord MRI scans of 54 NMOSD patients recruited among the French NMOSD cohort was performed. Brain lesions were annotated as MS-like, non-specific, or evocative of NMOSD. The topography of hAQP4 was reassessed by human brain atlas. The incidence of lesions in hAQP4 and their association with lesions evocative of NMOSD was estimated.ResultsAmong those included (41/54 female, mean age: 45 years) 47/54 (87%) presented brain lesions. Twenty-six/47 (55%) had lesions in hAQP4. Thirty-two/54 patients (60%) had lesions considered evocative of NMOSD. The majority of them also presented lesions in hAQP4 (65%, 21/32). Patients with lesions in hAQP4 and lesions evocative of NMOSD demonstrated more extensive myelitis compared to the other patients (7 [6–10] versus 4 [3–5] vertebral segments, P = 0.009).ConclusionThe coexistence of lesions evocative of NMOSD and in hAQP4 is associated with significantly more extensive myelitis, and might have pathophysiological and clinical significance.
Published: 2021

9. Contributions of PET and MRI imaging in the evaluation of CNS drugs in human neurodegenerative diseases

Author: Pierre Payoux, Jean-Philippe Ranjeva, Toulouse Neuro Imaging Center (ToNIC), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hôpital Purpan [Toulouse], CHU Toulouse [Toulouse]-CHU Toulouse [Toulouse], Centre de résonance magnétique biologique et médicale (CRMBM), Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - AP-HM] (CEMEREM), Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)-Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)- Hôpital de la Timone [CHU - APHM] (TIMONE), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Toulouse Mind & Brain Institut (TMBI), Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT), Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE)-Centre de résonance magnétique biologique et médicale (CRMBM), and Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)
Subjects: 2019-20 coronavirus outbreak, Mri imaging, Coronavirus disease 2019 (COVID-19), [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Neuroimaging, Bioinformatics, 03 medical and health sciences, 0302 clinical medicine, Clinical trials, Medicine, Humans, Pharmacology (medical), ComputingMilieux_MISCELLANEOUS, 030304 developmental biology, 0303 health sciences, business.industry, Neurodegenerative diseases, Magnetic Resonance Imaging, 3. Good health, Clinical trial, PET, Pharmaceutical Preparations, New disease, Positron-Emission Tomography, business, 030217 neurology & neurosurgery, MRI
Abstract: International audience; This manuscript reviews the contributions of the neuroimaging methods including PET, conventional and advanced MRI methods to monitor the effect of new disease modifying drugs in neurodegenerative diseases. It now seems obvious that in many pathologies these two techniques are more and more complementary.
Published: 2021

10. 7T Epilepsy Task Force Consensus Recommendations on the Use of 7T MRI in Clinical Practice

Author: Jacobus F.A. Jansen, Thomas R. Henry, Pierre-Francois Van de Moortele, Boris C. Bernhardt, Natalie L. Voets, Jonathan R. Polimeni, Tim J. Veersema, Lucie Hertz-Pannier, Jullie W. Pan, Giske Opheim, Lars H. Pinborg, Neda Bernasconi, Michael T. Jurkiewicz, Jean-Philippe Ranjeva, Mirco Cosottini, Heath R. Pardoe, Srinivasan Mukundan, Karl Rössler, Irene Wang, Renzo Guerrini, Albert J. Colon, Karin Markenroth Bloch, Maria Vargas, Andrea Bernasconi, Isabella M. Björkman-Burtscher, Esther Steijvers, Sandhitsu R. Das, Serge Vulliemoz, Rong Xue, Alexandre Vignaud, Shuli Liang, Ruoyun Emily Ma, Siegfried Trattnig, Maxime Guye, Stephen E. Jones, Fabrice Bartolomei, Kathryn A. Davis, Steven M. Stufflebeam, Sara Inati, Joel M. Stein, Christopher Wiggins, Anja G. van der Kolk, Maria Strandberg, Ali R. Khan, Neurobiology Research Unit, Department of Neurology Rigshospitalet Copenhagen University Hospital, UCPH, Faculty of Health and Medical Sciences, UCPH, Utrecht Brain Center [UMC], University Medical Center [Utrecht], Department of Radiology University Medical Center Utrecht, Lund University [Lund], Department of Neurology Neurophysiology and Neurosurgery, ACE Kempenhaeghe/MUMC, Heeze/Maastricht, PENN Epilepsy Center, University of Pennsylvania, Department of Neurology University of Minnesota, Minneapolis, Department of Radiology and Nuclear Medicine Maastricht University Medical Center, School for Mental Health and Neuroscience [Maastricht] (MHeNs), Maastricht University [Maastricht], Imaging Institute [Cleveland], Cleveland Clinic, Department of Neurology and Radiology University of Pittsburg, Medizinische Universität Wien = Medical University of Vienna, Department of Radiology Hospital of the University of Pennsylvania, Philadelphia, Departments of Neurology and Clinical Sciences Lund University Hospital, Center for Magnetic Resonance Research [Minneapolis] (CMRR), University of Minnesota Medical School, University of Minnesota System-University of Minnesota System, Neuroradiology Division, Diagnostic Unit University Hospitals and Faculty of Medicine of Geneva, Epilepsy Center Cleveland Clinic, Institut de Neurosciences des Systèmes (INS), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de neurophysiologie clinique [Hôpital de la Timone - APHM], Hôpital de la Timone [CHU - APHM] (TIMONE), McConnell Brain Imaging Centre (MNI), Montreal Neurological Institute and Hospital, McGill University = Université McGill [Montréal, Canada]-McGill University = Université McGill [Montréal, Canada], University of Gothenburg (GU), Department of Translational Research on New Technologies in Medicine and Surgery, University of Pisa - Università di Pisa, Department of Neurology University of Pennsylvania, Philadelphia, Building large instruments for neuroimaging: from population imaging to ultra-high magnetic fields (BAOBAB), Service NEUROSPIN (NEUROSPIN), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre National de la Recherche Scientifique (CNRS), EEG Section, NINDS, NIH, Bethesda, Department of Medical Imaging Children's Hospital at London Health Sciences Centre, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Imaging Research Laboratories, Robarts Research Institute, London, Functional Neurosurgery Department Beijing Children's Hospital of Capital Medical University, Beijing, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Epilepsy Clinic, Department of Neurology, Rigshospitalet Copenhagen University Hospital, Harvard-MIT Division of Health Sciences and Technology [Cambridge], Massachusetts Institute of Technology (MIT), Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School [Boston] (HMS)-Massachusetts General Hospital [Boston], Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE)-Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Scannexus Ultrahigh Field MRI Research Center, Maastricht, Department of Radiology and Nuclear Medicine Meander Medical Center, Amersfoort, Laboratoire d'Imagerie et de Spectroscopie (LRMN), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Wellcome Trust Centre for Integrative Neuroimaging (WIN - FMRIB), University of Oxford, Université de Genève = University of Geneva (UNIGE), State Key Laboratory of Cognitive Neuroscience and Learning, International Data Group/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China, Università degli Studi di Firenze = University of Florence (UniFI), IMAGO 7 Foundation, Florence, UMC Utrecht Brain Center, Utrecht University, Lund University Bioimaging Center, Lund University, University of Pennsylvania [Philadelphia], School for Mental Health and Neuroscience, Maastricht University, Department of Neurosurgery Medical University of Vienna, Department of Biomedical Imaging and Image-guided Therapy [Medical University of Vienna], High Field MR Center, Medical University of Vienna, Institut National de la Santé et de la Recherche Médicale (INSERM)-Aix Marseille Université (AMU), Department of Radiology Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Unité Baobab (BAOBAB), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Massachusetts General Hospital [Boston]-Harvard Medical School [Boston] (HMS), Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - AP-HM] (CEMEREM), Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)-Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)- Hôpital de la Timone [CHU - APHM] (TIMONE), University of Oxford [Oxford], EEG and Epilepsy Unit Neurology, Department of Clinical Neurosciences, University Hospitals and Faculty of Medicine of Geneva, and Neuroscience Department Children's Hospital A. Meyer-University of Florence
Subjects: medicine.medical_specialty, Neurology, Consensus, Referral, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, IMAGES, MEDLINE, ddc:616.0757, PROSPECTIVE MOTION-CORRECTION, CLASSIFICATION, 3T, 03 medical and health sciences, Epilepsy, 0302 clinical medicine, Medicine, Humans, In patient, Medical physics, 030212 general & internal medicine, Views & Reviews, medicine.diagnostic_test, business.industry, Task force, Brain, Magnetic resonance imaging, medicine.disease, CEREBRAL CAVERNOUS MALFORMATIONS, Magnetic Resonance Imaging, 3. Good health, ddc:616.8, Clinical Practice, FMRI, Neurology (clinical), business, 030217 neurology & neurosurgery, SYSTEM
Abstract: International audience; Identifying a structural brain lesion on MRI has important implications in epilepsy and is the most important factor that correlates with seizure freedom after surgery in patients with drug-resistant focal onset epilepsy. However, at conventional magnetic field strengths (1.5 and 3T), only approximately 60%–85% of MRI examinations reveal such lesions. Over the last decade, studies have demonstrated the added value of 7T MRI in patients with and without known epileptogenic lesions from 1.5 and/or 3T. However, translation of 7T MRI to clinical practice is still challenging, particularly in centers new to 7T, and there is a need for practical recommendations on targeted use of 7T MRI in the clinical management of patients with epilepsy. The 7T Epilepsy Task Force—an international group representing 21 7T MRI centers with experience from scanning over 2,000 patients with epilepsy—would hereby like to share its experience with the neurology community regarding the appropriate clinical indications, patient selection and preparation, acquisition protocols and setup, technical challenges, and radiologic guidelines for 7T MRI in patients with epilepsy. This article mainly addresses structural imaging; in addition, it presents multiple nonstructural MRI techniques that benefit from 7T and hold promise as future directions in epilepsy. Answering to the increased availability of 7T MRI as an approved tool for diagnostic purposes, this article aims to provide guidance on clinical 7T MRI epilepsy management by giving recommendations on referral, suitable 7T MRI protocols, and image interpretation.
Published: 2021

11. Accuracy and reproducibility of automated white matter hyperintensities segmentation with lesion segmentation tool: A European multi-site 3T study

Author: Bernhard W. Müller, Daniele Altomare, Marco Salvatore, Renaud Lopes, Paolo Maria Rossini, Jens Wiltfang, Moira Marizzoni, Martina Montalti, Stéphanie Bombois, Giovanni B. Frisoni, Clarissa Ferrari, Karl Titus Hoffmann, Camillo Marra, Massimo Caulo, Francesca B. Pizzini, David Bartrés-Faz, Ute Fiedler, Antonio Ferretti, Mira Didic, Manos Constantinidis, Andrea Soricelli, Federica Ribaldi, Joost P.A. Kuijer, Carlo Cavaliere, Antonios Drevelegas, Flavio Nobili, Piero Floridi, Luca Roccatagliata, Julien Sein, Régis Bordet, Franco Alessandrini, Pierre Payoux, Roberto Tarducci, Jorge Jovicich, Olivier Blin, Agnese Picco, Jean-Philippe Ranjeva, Frederik Barkhof, Beatriz Bosch, Magda Tsolaki, Pieter Jelle Visser, Lucilla Parnetti, Tilman Hensch, Jill C. Richardson, Núria Bargalló, Anna Mega, Helene Gros-Dagnac, Marco Aiello, Peter Schönknecht, Centro San Giovanni di Dio, Fatebenefratelli, Brescia (IRCCS), Università degli Studi di Brescia [Brescia], Laboratory of Neuroimaging of aging, Memory clinic and LANVIE, Geneva University Hospital and Geneva University, Center for Mind/Brain Sciences (CIMEC), University of Trento [Trento], Dipartimento di Neuroscienze, riabilitazione, oftalmologia, genetica e scienze materno-infantili [Genova] (DINOGMI), Universita degli studi di Genova, Department of Diagnostics and Public Health [Verona] (UNIVR | DDSP), University of Verona (UNIVR), IRCCS SDN Napoli, Department of Clinic Sciences and Bioimaging, University G. d'Annunzio Chieti-Pescara, Interbalkan Medical Center of Thessaloniki, Dept. of Child and Adolescent Psychiatry and Psychology, Institut Clinic of Neurosciences IDIBAPS (Institut d'Investigacions Biomèdiques August Pi Sunyer), Hospital Clínic Universitari of Barcelona, Department of Child and Adolescent Psychiatry and Psychotherapy, LVR-Klinikum Essen, Universität Duisburg-Essen [Essen], Department of Neuroscience, Catholic University, Roma, Centre for Medical Image Computing (CMIC), University College of London [London] (UCL), Department of Radiology and Nuclear Medicine [Amsterdam], VU University Medical Center [Amsterdam], Toulouse Neuro Imaging Center (ToNIC), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hôpital Purpan [Toulouse], CHU Toulouse [Toulouse]-CHU Toulouse [Toulouse], Centre de résonance magnétique biologique et médicale (CRMBM), Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - AP-HM] (CEMEREM), Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)-Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)- Hôpital de la Timone [CHU - APHM] (TIMONE), University Medical Center Göttingen (UMG), Department of Neuroradiology, University Hospital Leipzig, Section of Neurology, Centre for Memory Disturbances, University of Perugia, Institut de Neurosciences des Systèmes (INS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Aix Marseille Université (AMU), Neurology Department, Hospital Clinic, IDIBAPS, Facultad de Medicina, Barcelona, Dept. Neuroscience & Neurorehabilitation, IRCCS-San Raffaele-Pisana, Rome, University of Leipzig Medical Center, Neuroradiology Unit, Perugia General Hospital, Perugia, Alzheimer Center Amsterdam, Lille Neurosciences & Cognition - U 1172 (LilNCog (ex-JPARC)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Medical Physics Unit, Perugia General Hospital, Perugia, Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, Leipzig, LVR-Clinic for Psychiatry and Psychotherapy, Institutes and Clinics of the University Duisburg-Essen, Neurosciences Therapeutic Area, GlaxoSmithKline R&D, Università degli Studi di Brescia = University of Brescia (UniBs), Università degli studi di Genova = University of Genoa (UniGe), Università degli studi di Verona = University of Verona (UNIVR), Universität Duisburg-Essen = University of Duisburg-Essen [Essen], Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Toulouse Mind & Brain Institut (TMBI), Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE)-Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Leipzig University, Università degli Studi di Perugia = University of Perugia (UNIPG), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Lille Neurosciences & Cognition - U 1172 (LilNCog), Radiology and nuclear medicine, Amsterdam Neuroscience - Brain Imaging, Amsterdam Neuroscience - Neuroinfection & -inflammation, Neurology, and Amsterdam Neuroscience - Neurodegeneration
Subjects: Adult, Male, Aging, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Image Processing, Medizin, Biomedical Engineering, Biophysics, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Automation, 0302 clinical medicine, Computer-Assisted, Sørensen–Dice coefficient, Image Processing, Computer-Assisted, White matter hyperintensities, Medicine, Humans, Radiology, Nuclear Medicine and imaging, Segmentation, Lesion segmentation toolbox, ComputingMilieux_MISCELLANEOUS, Accuracy, Reproducibility, Lesion segmentation, business.industry, Lesion growth, Automated segmentation algorithms, Multi site, Reproducibility of Results, Gold standard (test), White Matter, Magnetic Resonance Imaging, Hyperintensity, Settore MED/26 - NEUROLOGIA, Cross-Sectional Studies, Algorithms, Female, Nuclear medicine, business, 030217 neurology & neurosurgery
Abstract: Brain vascular damage accumulate in aging and often manifest as white matter hyperintensities (WMHs) on MRI. Despite increased interest in automated methods to segment WMHs, a gold standard has not been achieved and their longitudinal reproducibility has been poorly investigated. The aim of present work is to evaluate accuracy and reproducibility of two freely available segmentation algorithms. A harmonized MRI protocol was implemented in 3T-scanners across 13 European sites, each scanning five volunteers twice (test-retest) using 2D-FLAIR. Automated segmentation was performed using Lesion segmentation tool algorithms (LST): the Lesion growth algorithm (LGA) in SPM8 and 12 and the Lesion prediction algorithm (LPA). To assess reproducibility, we applied the LST longitudinal pipeline to the LGA and LPA outputs for both the test and retest scans. We evaluated volumetric and spatial accuracy comparing LGA and LPA with manual tracing, and for reproducibility the test versus retest. Median volume difference between automated WMH and manual segmentations (mL) was −0.22[IQR = 0.50] for LGA-SPM8, −0.12[0.57] for LGA-SPM12, −0.09[0.53] for LPA, while the spatial accuracy (Dice Coefficient) was 0.29[0.31], 0.33[0.26] and 0.41[0.23], respectively. The reproducibility analysis showed a median reproducibility error of 20%[IQR = 41] for LGA-SPM8, 14% [31] for LGA-SPM12 and 10% [27] with the LPA cross-sectional pipeline. Applying the LST longitudinal pipeline, the reproducibility errors were considerably reduced (LGA: 0%[IQR = 0], p < 0.001; LPA: 0% [3], p < 0.001) compared to those derived using the cross-sectional algorithms. The DC using the longitudinal pipeline was excellent (median = 1) for LGA [IQR = 0] and LPA [0.02]. LST algorithms showed moderate accuracy and good reproducibility. Therefore, it can be used as a reliable cross-sectional and longitudinal tool in multi-site studies.
Published: 2021

12. Atlas ultra-haute résolution des noyaux gris centraux et des Thalami à partir d’un template mp2rage à 7t et base normative des temps de relaxation t1

Author: Gilles Brun, Jean-Philippe Ranjeva, Pierre Besson, Arnaud Le Troter, Maxime Guye, Benoit Testud, Aurélien Massire, Ludovic de Rochefort, Nadine Girard, Pierre Lehmann, Olivier M. Girard, and Ben Ridley
Subjects: 03 medical and health sciences, 0302 clinical medicine, Radiological and Ultrasound Technology, Radiology, Nuclear Medicine and imaging, Neurology (clinical), 030217 neurology & neurosurgery, 030218 nuclear medicine & medical imaging
Abstract: Introduction Apprecier la realite histo-architecturale in vivo des noyaux gris centraux notamment des thalami est un veritable challenge en imagerie. La definition precise de cette anatomie est cependant un prerequis necessaire pour mesurer avec precision des alterations structurales parenchymateuses ou realiser le ciblage stereotaxique en neurochirurgie [1] . Materiel et methodes Des images tridimensionnelles MP2RAGE (Magnetization Prepared with two Rapid Acquisition Gradient Echoes sequence) [2] ont ete acquises en 0,6 mm isotropique a 7 T chez 60 volontaires sains. Une methode de normalisation « group-wize » [3] a permis de creer un template T1 haute resolution (0,5 mm3) a partir de 30 des 60 sujets ( Fig. 1 ). Deux neuroradiologues (R1 et R2) ont realise une segmentation de 24 regions de substance gris profonde et de douze noyaux thalamiques dans chaque hemisphere, selon l’atlas de Morel [4] . Un atlas moyenne (7TAMIbrainDGN) a partir des deux segmentations a ete valide par un troisieme neuroradiologue ( Fig. 2 ). Les structures correspondantes ont egalement ete extraites a partir de deux autres atlas numeriques (e-Morel et CIT168). Les valeurs quantitatives moyennes absolues des temps de relaxation T1 ont ete ensuite extraites apres correction du B1+. Un score de Dice a ete calcule pour mesurer la concordance inter-observateur et la variabilite inter-atlas. Resultats Les scores de Dice entre les deux neuroradiologues, entre le R1 et 7TAMIbrainDGN et entre R2 et 7TAMIbrainDGN etaient respectivement de 0,74 ± 0,13, 0,87 ± 0,07, 0,86 ± 0,08. Les Dice entre 7TAMIbrainDGN et l’atlas e-Morel etaient de 0,53 ± 0,16 et de 0,80 ± 0,07 entre 7TAMIbrainDGN et CIT168. Les temps de relaxation T1 variaient de 1322 ms a 2003 ms. Conclusion Cette etude a permis de creer un atlas des noyaux gris centraux et des thalamis a 7 T et de valider un processus de segmentation automatise avec extraction des temps de relaxation T1.
Published: 2021

13. Modular slowing of resting-state dynamic functional connectivity as a marker of cognitive dysfunction induced by sleep deprivation

Author: Diego Lombardo, Jill C. Richardson, Viktor K. Jirsa, Pierre Payoux, Jean-Philippe Ranjeva, Olivier Felician, Mira Didic, Régis Bordet, David Bartrés-Faz, Maxime Guye, Olivier Blin, Demian Battaglia, Catherine Cassé-Perrot, Arnaud Le Troter, Jonathan Wirsich, Institut de Neurosciences des Systèmes (INS), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de résonance magnétique biologique et médicale (CRMBM), and Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Male, Time Factors, Computer science, Cognitive decline, Resting-state, Visual processing, 0302 clinical medicine, Attention, 0303 health sciences, Functional connectivity, fMRI, 05 social sciences, Brain, Cognition, Memory, Short-Term, Neurology, Visual Perception, medicine.symptom, Adult, Cognitive Neuroscience, Cognitive challenge model, 050105 experimental psychology, lcsh:RC321-571, 03 medical and health sciences, Connectome, medicine, Humans, Dementia, Cognitive Dysfunction, 0501 psychology and cognitive sciences, Effects of sleep deprivation on cognitive performance, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, 030304 developmental biology, Dynamic functional connectivity, Resting state fMRI, business.industry, [SCCO.NEUR]Cognitive science/Neuroscience, Pattern recognition, Modular design, medicine.disease, Sleep deprivation, Sleep Deprivation, Artificial intelligence, Nerve Net, business, Neuroscience, Psychomotor Performance, 030217 neurology & neurosurgery
Abstract: Dynamic Functional Connectivity (dFC) in the resting state (rs) is considered as a correlate of cognitive processing. Describing dFC as a flow across morphing connectivity configurations, our notion of dFC speed quantifies the rate at which FC networks evolve in time. Here we probe the hypothesis that variations of rs dFC speed and cognitive performance are selectively interrelated within specific functional subnetworks.In particular, we focus on Sleep Deprivation (SD) as a reversible model of cognitive dysfunction. We found that whole-brain level (global) dFC speed significantly slows down after 24h of SD. However, the reduction in global dFC speed does not correlate with variations of cognitive performance in individual tasks, which are subtle and highly heterogeneous. On the contrary, we found strong correlations between performance variations in individual tasks –including Rapid Visual Processing (RVP, assessing sustained visual attention)– and dFC speed quantified at the level of functional subnetworks of interest. Providing a compromise between classic static FC (no time) and global dFC (no space), modular dFC speed analyses allow quantifying a different speed of dFC reconfiguration independently for sub-networks overseeing different tasks. Importantly, we found that RVP performance robustly correlates with the modular dFC speed of a characteristic frontoparietal module.HighlightsSleep Deprivation (SD) slows down the random walk in FC space implemented by Dynamic Functional Connectivity (dFC) at rest.Whole-brain level slowing of dFC speed does not selectively correlate with fine and taskspecific changes in performanceWe quantify dFC speed separately for different link-based modules coordinated by distinct regional “meta-hubs”Modular dFC speed variations capture subtle and task-specific variations of cognitive performance induced by SD.Author summaryWe interpreted dynamic Functional Connectivity (dFC) as a random walk in the space of possible FC networks performed with a quantifiable “speed”.Here, we analyze a fMRI dataset in which subjects are scanned and cognitively tested both before and after Sleep Deprivation (SD), used as a reversible model of cognitive dysfunction. While global dFC speed slows down after a sleepless night, it is not a sufficiently sensitive metric to correlate with fine and specific cognitive performance changes. To boost the capacity of dFC speed analyses to account for fine and specific cognitive decline, we introduce the notion ofmodular dFC speed. Capitalizing on an edge-centric measure of functional connectivity, which we call Meta-Connectivity, we isolate subgraphs of FC describing relatively independent random walks (dFC modules) and controlled by distinct “puppet masters” (meta-hubs). We then find that variations of the random walk speed of distinct dFC modules now selectively correlate with SD-induced variations of performance in the different tasks. This is in agreement with the fact that different subsystems – distributed but functionally distinct– oversee different tasks.The high sensitivity of modular dFC analyses bear promise of future applications to the early detection and longitudinal characterization of pathologies such as Alzheimer’s disease.
Published: 2020

14. Amygdalar nuclei and hippocampal subfields on MRI

Author: Michela Pievani, Agnese Picco, Jean-Philippe Ranjeva, Giovanni B. Frisoni, Lucilla Parnetti, Piero Floridi, Frederik Barkhof, Jens Wiltfang, Marco Salvatore, Helene Gros-Dagnac, Antonio Ferretti, Julien Sein, Massimo Caulo, Alberto Beltramello, Pierre Payoux, Marco Aiello, Joost P.A. Kuijer, Roberto Tarducci, Tilman Hensch, Renaud Lopes, Björn H. Schott, Peter Schönknecht, Luca Roccatagliata, Camillo Marra, David Bartrés-Faz, Jill C. Richardson, Jorge Jovicich, Flavio Nobili, Antonios Drevelegas, Pieter Jelle Visser, Olivier Blin, Paolo Maria Rossini, Karl Titus Hoffmann, Mira Didic, Régis Bordet, Bernhard W. Müller, Francesca B. Pizzini, Magda Tsolaki, Ute Fiedler, Manos Constantinides, Giulia Quattrini, Moira Marizzoni, Andrea Soricelli, Núria Bargalló, Centro San Giovanni di Dio, Fatebenefratelli, Brescia (IRCCS), Università degli Studi di Brescia [Brescia], Center for Mind/Brain Sciences, University of Trento, Corso Bettini, 31, 38068, Rovereto, TN, Italy, IRCCS SDN Napoli, Department of Neuroradiology and Image Research Platform, Hospital Clínic de Barcelona, IDIBAPS, Barcelona, Department of Radiology and Nuclear Medicine [Amsterdam], VU University Medical Center [Amsterdam], Institute of Neurology, Queen Square, London, Department of Medicine and Health Sciences, Faculty of Medicine, Universitat de Barcelona and IDIBAPS, Barcelona, Department of Radiology, IRCCS 'Sacro Cuore-Don Calabria', Negrar, Verona, Radiology, Department of Diagnostic and Public Health, University of Verona, Verona, Centre investigation clinique - Unité de pharmacologie clinique et d'évaluations thérapeutiques (CIC-UPCET), Assistance Publique - Hôpitaux de Marseille (APHM), Institut de Neurosciences des Systèmes (INS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Aix Marseille Université (AMU), Lille Neurosciences & Cognition - U 1172 (LilNCog (ex-JPARC)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), University 'G. d'Annunzio' of Chieti-Pescara [Chieti], Interbalkan Medical Center of Thessaloniki, LVR-Clinic for Psychiatry and Psychotherapy, Institutes and Clinics of the University Duisburg-Essen, Neuroradiology Unit, Perugia General Hospital, Perugia, Toulouse Neuro Imaging Center (ToNIC), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hôpital Purpan [Toulouse], CHU Toulouse [Toulouse]-CHU Toulouse [Toulouse], Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, Leipzig, Department of Neuroradiology, University Hospital Leipzig, LVR-Hospital Essen, Department for Psychiatry and Psychotherapy, Faculty of Medicine, University of Duisburg-Essen, Dipartimento di Neuroscienze, Riabilitazione, Oftalmologia, Genetica e Scienze Materno-Infantili (DINOGMI), Università degli Studi di Genova, 16132 Genova, Section of Neurology, Department of Medicine, University of Perugia, Perugia, Centre de résonance magnétique biologique et médicale (CRMBM), Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - AP-HM] (CEMEREM), Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)-Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)- Hôpital de la Timone [CHU - APHM] (TIMONE), IRCCS, Ospedale Policlinico San Martino, Genova, Italy, Department of Health Science (DISSAL), University of Genoa, Genoa, Dept. Neuroscience & Rehabilitation, IRCCS San Raffaele-Pisana, Rome, Department of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Göttingen, Leibniz Institute for Neurobiology, Magdeburg, Center for Neurodegenerative Diseases (DZNE), Goettingen, Medical Physics Unit, Perugia General Hospital, Perugia, Aristotle University of Thessaloniki, Department of Neurology, Alzheimer Centre, VU Medical Centre, Amsterdam, Netherlands, Maastricht University, Maastricht, Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, German Center for Neurodegenerative Diseases (DZNE), Goettingen, GlaxoSmithKline [Stevenage, UK] (GSK), GlaxoSmithKline [Headquarters, London, UK] (GSK), Laboratory of Neuroimaging of aging, Memory clinic and LANVIE, Geneva University Hospital and Geneva University, Psychiatrie & Neuropsychologie, RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, Amsterdam Neuroscience - Brain Imaging, Radiology and nuclear medicine, Neurology, Università degli Studi di Brescia = University of Brescia (UniBs), Università degli Studi di Trento (UNITN), Università degli studi di Verona = University of Verona (UNIVR), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Lille Neurosciences & Cognition - U 1172 (LilNCog), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Toulouse Mind & Brain Institut (TMBI), Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT), Leipzig University, Università degli studi di Genova = University of Genoa (UniGe), Università degli Studi di Perugia = University of Perugia (UNIPG), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE)-Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), and Leibniz Institute for Neurobiology [Magdeburg] (LIN)
Subjects: Male, STRUCTURAL DIFFERENCES, Neurology, genetic structures, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, FreeSurfer, Medizin, Hippocampus, Hippocampal formation, Amygdalar nuclei, Hippocampal subfields, Multicenter MRI study, Reliability analysis, 0302 clinical medicine, methods [Magnetic Resonance Imaging], hippocampal subfields, multicenter MRI study, reliability analysis, methods [Image Processing, Computer-Assisted], Image Processing, Computer-Assisted, METHODS FREESURFER, ELDERLY-PATIENTS, ComputingMilieux_MISCELLANEOUS, 05 social sciences, Subiculum, BORDERLINE PERSONALITY-DISORDER, Middle Aged, Amygdala, HUMAN BRAIN, Magnetic Resonance Imaging, ALZHEIMERS-DISEASE, standards [Image Processing, Computer-Assisted], Settore MED/26 - NEUROLOGIA, MANUAL SEGMENTATION, medicine.anatomical_structure, Brain size, Cohort, Female, methods [Neuroimaging], Adult, medicine.medical_specialty, Cognitive Neuroscience, anatomy & histology [Hippocampus], Neuroimaging, Cognitive neuroscience, SURFACE-BASED ANALYSIS, 050105 experimental psychology, lcsh:RC321-571, 03 medical and health sciences, medicine, Humans, 0501 psychology and cognitive sciences, ddc:610, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, Aged, standards [Magnetic Resonance Imaging], business.industry, Reproducibility of Results, SAMPLE-SIZE CALCULATIONS, ddc:616.8, nervous system, anatomy & histology [Amygdala], Nuclear medicine, business, 030217 neurology & neurosurgery, standards [Neuroimaging], Software, FUNCTIONAL-ORGANIZATION
Abstract: Background: The amygdala and the hippocampus are two limbic structures that play a critical role in cognition and behavior, however their manual segmentation and that of their smaller nuclei/subfields in multicenter datasets is time consuming and difficult due to the low contrast of standard MRI. Here, we assessed the reliability of the automated segmentation of amygdalar nuclei and hippocampal subfields across sites and vendors using FreeSurfer in two independent cohorts of older and younger healthy adults.Methods: Sixty-five healthy older (cohort 1) and 68 younger subjects (cohort 2), from the PharmaCog and CoRR consortia, underwent repeated 3D-T1 MRI (interval 1-90 days). Segmentation was performed using FreeSurfer v6.0. Reliability was assessed using volume reproducibility error (epsilon) and spatial overlapping coefficient (DICE) between test and retest session.Results: Significant MRI site and vendor effects (p 0.43, p 0.80).Conclusion: Our results support the use of volumetric measures of larger amygdalar nuclei and hippocampal subfields in multisite MRI studies. These measures could be useful for disease tracking and assessment of efficacy in drug trials.
Published: 2020

15. Aerobic Exercise Induces Functional and Structural Reorganization of CNS Networks in Multiple Sclerosis: A Randomized Controlled Trial

Author: Jan-Patrick Stellmann, Adil Maarouf, Karl-Heinz Schulz, Lisa Baquet, Jana Pöttgen, Stefan Patra, Iris-Katharina Penner, Susanne Gellißen, Gesche Ketels, Pierre Besson, Jean-Philippe Ranjeva, Maxime Guye, Guido Nolte, Andreas K. Engel, Bertrand Audoin, Christoph Heesen, Stefan M. Gold, Centre d'Exploration Métabolique par Résonance Magnétique [Marseille] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE)-Centre de résonance magnétique biologique et médicale (CRMBM), and Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)
Subjects: CNS networks, neuroplasticity, multiple sclerosis, 050105 experimental psychology, lcsh:RC321-571, law.invention, Probabilistic tractography, 03 medical and health sciences, Behavioral Neuroscience, 0302 clinical medicine, Randomized controlled trial, law, Neuroplasticity, medicine, Aerobic exercise, 0501 psychology and cognitive sciences, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, Biological Psychiatry, Original Research, medicine.diagnostic_test, exercise, business.industry, Multiple sclerosis, 05 social sciences, Clinical performance, Human Neuroscience, medicine.disease, Psychiatry and Mental health, Neuropsychology and Physiological Psychology, Neurology, randomized controlled trial, Animal studies, Functional magnetic resonance imaging, business, Neuroscience, 030217 neurology & neurosurgery, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract: International audience; Objectives: Evidence from animal studies suggests that aerobic exercise may promote neuroplasticity and could, therefore, provide therapeutic benefits for neurological diseases such as multiple sclerosis (MS). However, the effects of exercise in human CNS disorders on the topology of brain networks, which might serve as an outcome at the interface between biology and clinical performance, remain poorly understood. Methods: We investigated functional and structural networks in patients with relapsing-remitting MS in a clinical trial of standardized aerobic exercise. Fifty-seven patients were randomly assigned to moderate-intensity exercise for 3 months or a non-exercise control group. We reconstructed functional networks based on resting-state functional magnetic resonance imaging (MRI) and used probabilistic tractography on diffusion-weighted imaging data for structural networks. Results: At baseline, compared to 30 healthy controls, patients exhibited decreased structural connectivity that was most pronounced in hub regions of the brain. Vice versa, functional connectivity was increased in hubs. After 3 months, we observed hub independent increased functional connectivity in the exercise group while the control group presented a loss of functional hub connectivity. On a structural level, the control group remained unchanged, while the exercise group had also increased connectivity. Increased clustering of hubs indicates a better structural integration and internal connectivity at the top of the network hierarchy. Conclusion: Increased functional connectivity of hubs contrasts a loss of structural connectivity in relapsing-remitting MS. Under an exercise condition, a further hub independent increase of functional connectivity seems to translate in higher structural connectivity of the whole brain.
Published: 2020
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16. CSF cutoffs for MCI due to AD depend on APOEε4 carrier status

Author: Jean-Philippe Ranjeva, Frederik Barkhof, Jorge Jovicich, Régis Bordet, Jill C. Richardson, Elena Rolandi, Magda Tsolaki, Andrea Soricelli, Olivier Blin, Lucilla Parnetti, Marco Salvatore, Claudio Babiloni, Tilman Hensch, Jens Wiltfang, Camillo Marra, José Luis Molinuevo, Libera Cavaliere, Samantha Galluzzi, Moira Marizzoni, Diego Albani, Mira Didic, Clarissa Ferrari, Flavio Nobili, Federica Fusco, Paolo Maria Rossini, Giovanni B. Frisoni, Gianluigi Forloni, Federica Ribaldi, Pierre Payoux, Pieter Jelle Visser, Centro San Giovanni di Dio, Fatebenefratelli, Brescia (IRCCS), Università degli Studi di Brescia [Brescia], Department of Physiology and Pharmacology 'Vittorio Erspamer', Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome], Neuroscience Department, IRCCS - Istituto di Ricerche Farmacologiche Mario Negri, Milano, Department of Radiology and Nuclear Medicine [Amsterdam], VU University Medical Center [Amsterdam], Institutes of Neurology and Healthcare Engineering, UCL, London, Institut de Neurosciences des Systèmes (INS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Aix Marseille Université (AMU), Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, Leipzig, Center for Mind/Brain Sciences, University of Trento, Corso Bettini, 31, 38068, Rovereto, TN, Italy, Department of Gerontology, Neurosciences & Orthopedics, Catholic University, Rome, Alzheimer's Disease Unit and Other Cognitive Disorders Unit, Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Dipartimento di Neuroscienze, riabilitazione, oftalmologia, genetica e scienze materno-infantili [Genova] (DINOGMI), Universita degli studi di Genova, Section of Neurology, Centre for Memory Disturbances, University of Perugia, Toulouse Neuro Imaging Center (ToNIC), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hôpital Purpan [Toulouse], CHU Toulouse [Toulouse]-CHU Toulouse [Toulouse], Centre de résonance magnétique biologique et médicale (CRMBM), Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - AP-HM] (CEMEREM), Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)-Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)- Hôpital de la Timone [CHU - APHM] (TIMONE), Area Neuroscience, IRCCS San Raffaele, Rome, IRCCS SDN Napoli, Department of Neurology (Aristotle University of Thessaloniki), Aristotle University of Thessaloniki, Alzheimer Center Amsterdam, LVR-Clinic for Psychiatry and Psychotherapy, Institutes and Clinics of the University Duisburg-Essen, GlaxoSmithKline [Stevenage, UK] (GSK), GlaxoSmithKline [Headquarters, London, UK] (GSK), Lille Neurosciences & Cognition - U 1172 (LilNCog (ex-JPARC)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Centre investigation clinique - Unité de pharmacologie clinique et d'évaluations thérapeutiques (CIC-UPCET), Assistance Publique - Hôpitaux de Marseille (APHM), Laboratory of Neuroimaging of aging, Memory clinic and LANVIE, Geneva University Hospital and Geneva University, Amsterdam Neuroscience - Neurodegeneration, Radiology and nuclear medicine, Università degli Studi di Brescia = University of Brescia (UniBs), Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome] (UNIROMA), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Leipzig University, Università degli Studi di Trento (UNITN), Università degli studi di Genova = University of Genoa (UniGe), Università degli Studi di Perugia = University of Perugia (UNIPG), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Toulouse Mind & Brain Institut (TMBI), Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE)-Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), and Lille Neurosciences & Cognition - U 1172 (LilNCog)
Subjects: Male, 0301 basic medicine, Oncology, Apolipoprotein E, Aging, Medizin, Cohort Studies, 0302 clinical medicine, Cerebrospinal fluid, Cutoff, ComputingMilieux_MISCELLANEOUS, Aged, 80 and over, biology, General Neuroscience, Alzheimer's disease, 3. Good health, Settore MED/26 - NEUROLOGIA, Biomarker (medicine), Female, Heterozygote, medicine.medical_specialty, CSF cutoff, Disease progression, Mild cognitive impairment, Tau protein, tau Proteins, 03 medical and health sciences, Apolipoproteins E, Neuroimaging, Alzheimer Disease, Internal medicine, mental disorders, medicine, Humans, Cognitive Dysfunction, Aged, Amyloid beta-Peptides, Receiver operating characteristic, business.industry, medicine.disease, Peptide Fragments, ddc:616.8, 030104 developmental biology, [SDV.MHEP.PSM]Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health, biology.protein, Neurology (clinical), Geriatrics and Gerontology, business, Biomarkers, 030217 neurology & neurosurgery, Developmental Biology
Abstract: Amyloid and tau pathological accumulation should be considered for Alzheimer's disease (AD) definition and before subjects' enrollment in disease-modifying trials. Although age, APOEε4, and sex influence cerebrospinal fluid (CSF) biomarker levels, none of these variables are considered by current normality/abnormality cutoffs. Using baseline CSF data from 2 independent cohorts (PharmaCOG/European Alzheimer's Disease Neuroimaging Initiative and Alzheimer's Disease Neuroimaging Initiative), we investigated the effect of age, APOEε4 status, and sex on CSF Aβ42/P-tau distribution and cutoff extraction by applying mixture models with covariates. The Aβ42/P-tau distribution revealed the presence of 3 subgroups (AD-like, intermediate, control-like) and 2 cutoffs. The identification of the intermediate subgroup and of the higher cutoff was APOEε4 dependent in both cohorts. APOE-specific classification (higher cutoff for APOEε4+, lower cutoff for APOEε4-) showed higher diagnostic accuracy in identifying MCI due to AD compared to single Aβ42 and Aβ42/P-tau cutoffs. APOEε4 influences amyloid and tau CSF markers and AD progression in MCI patients supporting i) the use of APOE-specific cutoffs to identify MCI due to AD and ii) the utility of considering APOE genotype for early AD diagnosis.
Published: 2020

17. Feasibility of single-shot multi-level multi-angle diffusion tensor imaging of the human cervical spinal cord at 7T

Author: Aurélien Massire, Maxime Guye, Thorsten Feiweier, Virginie Callot, Manuel Taso, Henitsoa Rasoanandrianina, and Jean-Philippe Ranjeva
Subjects: Physics, business.industry, Single shot, Spinal cord, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Text mining, medicine.anatomical_structure, medicine, Radiology, Nuclear Medicine and imaging, business, 030217 neurology & neurosurgery, Diffusion MRI, Biomedical engineering
Published: 2018

18. Whole brain inhomogeneous magnetization transfer (ihMT) imaging: Sensitivity enhancement within a steady‐state gradient echo sequence

Author: Arnaud Le Troter, Samira Mchinda, Jean Pelletier, David C. Alsop, Jean-Philippe Ranjeva, Gopal Varma, Olivier M. Girard, Stanislas Rapacchi, Maxime Guye, Guillaume Duhamel, Valentin H. Prevost, Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Harvard Medical School [Boston] (HMS), Beth Israel Deaconess Medical Center [Boston] (BIDMC), Neurologie, maladies neuro-musculaires [Hôpital de la Timone - APHM], Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)- Hôpital de la Timone [CHU - APHM] (TIMONE), and ARSEP Foundation 2015- Grant sponsor: IRME 2016- ANR-11- IDEX-0001-02- Grant sponsor: France Life Imaging Network ANR-11-INBS-0006.
Subjects: Adult, Male, Offset (computer science), [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, magnetization transfer model, ihMT, dipolar order, 030218 nuclear medicine & medical imaging, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Nuclear magnetic resonance, dual frequency RF saturation, Image Interpretation, Computer-Assisted, crmbm, medicine, Humans, Computer Simulation, Radiology, Nuclear Medicine and imaging, snc, Magnetization transfer, Saturation (magnetic), Reproducibility, Fourier Analysis, medicine.diagnostic_test, Chemistry, Isotropy, Brain, Magnetic resonance imaging, Magnetic Resonance Imaging, 3. Good health, Computational physics, myelin, Dipole, Inhomogeneous magnetization transfer, Female, [SDV.IB]Life Sciences [q-bio]/Bioengineering, Provotorov theory of radiofrequency saturation, 030217 neurology & neurosurgery, Gradient echo
Abstract: Purpose To implement, characterize, and optimize an interleaved inhomogeneous magnetization transfer (ihMT) gradient echo sequence allowing for whole-brain imaging within a clinically compatible scan time. Theory and Methods A general framework for ihMT modelling was developed based on the Provotorov theory of radiofrequency saturation, which accounts for the dipolar order underpinning the ihMT effect. Experimental studies and numerical simulations were performed to characterize and optimize the ihMT-gradient echo dependency with sequence timings, saturation power, and offset frequency. The protocol was optimized in terms of maximum signal intensity and the reproducibility assessed for a nominal resolution of 1.5 mm isotropic. All experiments were performed on healthy volunteers at 1.5T. Results An important mechanism driving signal optimization and leading to strong ihMT signal enhancement that relies on the dynamics of radiofrequency energy deposition has been identified. By taking advantage of the delay allowed for readout between ihMT pulse bursts, it was possible to boost the ihMT signal by almost 2-fold compared to previous implementation. Reproducibility of the optimal protocol was very good, with an intra-individual error
Published: 2017

19. Difference in imaging biomarkers of neurodegeneration between early and late-onset amnestic Alzheimer's disease

Author: Anne-Laure Aziz, Jean-Philippe Ranjeva, Eric Guedj, José Boucraut, Lejla Koric, Lauréline Duprat, Olivier Felician, Sven Joubert, Bernard Giusiano, Mathieu Ceccaldi, Mira Didic, Claude Gueriot, Institut de Neurosciences des Systèmes (INS), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de recherche de l'Institut universitaire de gériatrie, Université de Montréal (UdeM), Institut de la Mémoire et de la Maladie d'Alzheimer [Paris] (IM2A), Université Pierre et Marie Curie - Paris 6 (UPMC), Service de neurologie et de neuropsychologie, Université de la Méditerranée - Aix-Marseille 2-Assistance Publique - Hôpitaux de Marseille (APHM)- Hôpital de la Timone [CHU - APHM] (TIMONE), Laboratoire d'Immunologie [Hôpital de la Conception - APHM], Assistance Publique - Hôpitaux de Marseille (APHM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hôpital de la Conception [CHU - APHM] (LA CONCEPTION)-Centre National de la Recherche Scientifique (CNRS), Fondation FondaMental [Créteil], Centre de recherche en neurobiologie - neurophysiologie de Marseille (CRN2M), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Centre de Mémoire de Ressources et de Recherche [Hôpital La Timone, Marseille], Hôpital de la Timone [CHU - APHM] (TIMONE)-CHU Marseille, Aix-Marseille Université - Faculté de médecine (AMU MED), Aix Marseille Université (AMU), Neurobiologie intégrative et adaptative (NIA), Université de Provence - Aix-Marseille 1-Centre National de la Recherche Scientifique (CNRS), Service Central de Biophysique et de Médecine Nucléaire, Hôpital de la Timone [CHU - APHM] (TIMONE), Centre Mémoire de Ressources et de Recherche, CHU Marseille, and Guedj, Eric
Subjects: Male, 0301 basic medicine, Aging, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Disease, Neuroimaging biomarkers, Severity of Illness Index, Cognition, 0302 clinical medicine, Semantic memory, Early-onset Alzheimer's disease, Age of Onset, Aged, 80 and over, General Neuroscience, Neurodegeneration, Brain, Middle Aged, Alzheimer's disease, Magnetic Resonance Imaging, medicine.anatomical_structure, Cardiology, Female, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Psychology, Amyloid, medicine.medical_specialty, Temporoparietal junction, Neuroimaging, 03 medical and health sciences, Atrophy, Alzheimer Disease, Memory, Internal medicine, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, medicine, Humans, [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], snc, Positron emission tomography imaging, Aged, medicine.disease, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Glucose, 030104 developmental biology, Positron-Emission Tomography, Posterior cingulate, Nerve Degeneration, Neurology (clinical), Geriatrics and Gerontology, Age of onset, Neuroscience, Biomarkers, 030217 neurology & neurosurgery, Developmental Biology
Abstract: International audience; Neuroimaging biomarkers differ between patients with early-onset Alzheimer's disease (EOAD) and late-onset Alzheimer's disease (LOAD). Whether these changes reflect cognitive heterogeneity or differences in disease severity is still unknown. This study aimed at investigating changes in neuroimaging biomarkers, according to the age of onset of the disease, in mild amnestic Alzheimer's disease patients with positive amyloid biomarkers in cerebrospinal fluid. Both patient groups were impaired on tasks assessing verbal and visual recognition memory. EOAD patients showed greater executive and linguistic deficits, while LOAD patients showed greater semantic memory impairment. In EOAD and LOAD, hypometabolism involved the bilateral temporoparietal junction and the posterior cingulate cortex. In EOAD, atrophy was widespread, including frontotemporoparietal areas, whereas it was limited to temporal regions in LOAD. Atrophic volumes were greater in EOAD than in LOAD. Hypometabolic volumes were similar in the 2 groups. Greater extent of atrophy in EOAD, despite similar extent of hypometabolism, could reflect different underlying pathophysiological processes, different glucose-based compensatory mechanisms or distinct level of premorbid atrophic lesions.
Published: 2017

20. Multi-timescale hybrid components of the functional brain connectome: A bimodal EEG-fMRI decomposition

Author: Maxime Guye, Anne-Lise Giraud, Jean-Philippe Ranjeva, Enrico Amico, Sepideh Sadaghiani, Joaquín Goñi, and Jonathan Wirsich
Subjects: Computer science, Concurrent EEG-fMRI, Neurosciences. Biological psychiatry. Neuropsychiatry, Electroencephalography, EEG-fMRI, 03 medical and health sciences, Functional brain, 0302 clinical medicine, Artificial Intelligence, Component (UML), medicine, Brain connectivity, ICA, Research Articles, 030304 developmental biology, 0303 health sciences, Resting state fMRI, medicine.diagnostic_test, Applied Mathematics, General Neuroscience, Functional connectivity, Human Connectome, Independent component analysis, Computer Science Applications, ddc:616.8, Human connectome, Connectome, Functional magnetic resonance imaging, Neuroscience, 030217 neurology & neurosurgery, RC321-571
Abstract: Concurrent electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) bridge brain connectivity across timescales. During concurrent EEG-fMRI resting-state recordings, whole-brain functional connectivity (FC) strength is spatially correlated across modalities. However, cross-modal investigations have commonly remained correlational, and joint analysis of EEG-fMRI connectivity is largely unexplored. Here we investigated if there exist (spatially) independent FC networks linked between modalities. We applied the recently proposed hybrid connectivity independent component analysis (connICA) framework to two concurrent EEG-fMRI resting-state datasets (total 40 subjects). Two robust components were found across both datasets. The first component has a uniformly distributed EEG frequency fingerprint linked mainly to intrinsic connectivity networks (ICNs) in both modalities. Conversely, the second component is sensitive to different EEG frequencies and is primarily linked to intra-ICN connectivity in fMRI but to inter-ICN connectivity in EEG. The first hybrid component suggests that connectivity dynamics within well-known ICNs span timescales, from millisecond range in all canonical frequencies of FCEEG to second range of FCfMRI. Conversely, the second component additionally exposes linked but spatially divergent neuronal processing at the two timescales. This work reveals the existence of joint spatially independent components, suggesting that parts of resting-state connectivity are co-expressed in a linked manner across EEG and fMRI over individuals., Author Summary Functional connectivity is governed by a whole-brain organization measurable over multiple timescales by functional magnetic resonance imaging (fMRI) and electroencephalography (EEG). The relationship across the whole-brain organization captured at the different timescales of EEG and fMRI is largely unknown. Using concurrent EEG-fMRI, we identified spatially independent components consisting of brain connectivity patterns that co-occur in EEG and fMRI over subjects. We observed a component with similar connectivity organization across EEG and fMRI as well as a component with divergent connectivity. The former component governed all EEG frequencies while the latter was modulated by frequency. These findings show that part of functional connectivity organizes in a common spatial layout over several timescales, while a spatially independent part is modulated by frequency-specific information.
Published: 2019

21. Regional T 1 mapping of the whole cervical spinal cord using an optimized MP2RAGE sequence

Author: Jean-Philippe Ranjeva, Virginie Callot, Maxime Guye, Tobias Kober, Henitsoa Rasoanandrianina, Aurélien Massire, Manuel Taso, Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - AP-HM] (CEMEREM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)- Hôpital de la Timone [CHU - APHM] (TIMONE), Siemens AG Healthcare Sector, Erlangen, ANR-11-INBS-0006,FLI,France Life Imaging(2011), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE)-Centre de résonance magnétique biologique et médicale (CRMBM), and Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Reproducibility, Relaxometry, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, relaxometry, spinal cord, gray matter, T1 mapping, Biology, Spinal cord, spinal cord template, MP2RAGE, 030218 nuclear medicine & medical imaging, White matter, 03 medical and health sciences, 0302 clinical medicine, medicine.anatomical_structure, medicine, Molecular Medicine, Radiology, Nuclear Medicine and imaging, white matter, 030217 neurology & neurosurgery, Spectroscopy, Biomedical engineering
Abstract: International audience; While T1 measurements present multiple challenges (robustness, acquisition time), the recently proposed MP2RAGE sequence (magnetization‐prepared two rapid acquisition gradient echoes) has opened new perspectives to characterize tissue microstructure changes occurring in a pathological or developmental context. Extensively used for brain studies, it was herein adapted to investigate the cervical spinal cord (SC) at 3 T.By integrating Bloch equations, the MP2RAGE sequence parameters were chosen to optimize SC gray matter/white matter (GM/WM) T1 contrast with sub‐millimetric resolution, a scan time less than 10 min and a reliable T1 determination with minimal B1+ variation effect, within a range of values compatible with different pathologies and surrounding structures. The residual B1+ effect on T1 values was corrected using a look‐up‐table approach and B1+ mapping. The accuracy of B1+‐corrected T1 measurements was assessed on a phantom with respect to conventional inversion recovery. In vivo MP2RAGE acquisitions were performed on five young (28.8 ± 4.3 years old) and five elderly (60.2 ± 2.9 years old) volunteers and analyzed using a template‐based approach.Phantom experiments led to high agreements between inversion‐recovery spin‐echo and MP2RAGE‐based T1 values (R2 = 0.997). In vivo T1 values for cervical WM, anterior GM (aGM), posterior sensory tracts (PSTs) and lateral motor tracts (LMTs) were 917 ± 29 s, 934 ± 33 ms, 920 ± 37 ms and 877 ± 35 ms, respectively, with all subjects and cervical levels considered. Significant differences were observed between aGM and LMTs, and between LMTs and PSTs, in agreement with the literature. Repeated T1 measurements demonstrated high reproducibility of the MP2RAGE in the SC (variation coefficient < 5% in all regions of interest). Finally, preliminary assessment of age‐related SC tissue microstructure variation additionally showed evidence of SC atrophy and slight trends of T1 decrease with age in all regions.Overall, this study shows that fast, robust and accurate sub‐millimetric resolution T1 mapping in the cervical SC using the MP2RAGE sequence is possible, paving the way for future multi‐centric and longitudinal clinical studies investigating the pathological cord.
Published: 2019

22. Malformations of cortical development: The role of 7-Tesla magnetic resonance imaging in diagnosis

Author: Jean-Philippe Ranjeva, Fabrice Bartolomei, Maxime Guye, Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Aix Marseille Université (AMU), Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - AP-HM] (CEMEREM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)- Hôpital de la Timone [CHU - APHM] (TIMONE), Institut de Neurosciences des Systèmes (INS), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut National de la Santé et de la Recherche Médicale (INSERM), Service de neurophysiologie clinique [Hôpital de la Timone - APHM], Hôpital de la Timone [CHU - APHM] (TIMONE), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE)-Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), and CCSD, Accord Elsevier
Subjects: Computer science, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, High resolution, White matter, 03 medical and health sciences, 0302 clinical medicine, Nuclear magnetic resonance, Image Processing, Computer-Assisted, medicine, Humans, 7 tesla mri, 030212 general & internal medicine, ComputingMilieux_MISCELLANEOUS, medicine.diagnostic_test, Functional Neuroimaging, Brain, Magnetic resonance imaging, Magnetic Resonance Imaging, Computational anatomy, 3. Good health, Malformations of Cortical Development, Clinical Practice, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Rapid acquisition, medicine.anatomical_structure, Neurology, Neurology (clinical), Lower field, 030217 neurology & neurosurgery
Abstract: Comparison studies between 7T and 1.5 or 3T magnetic resonance imaging (MRI) have demonstrated the added value of ultra-high field (UHF) MRI to better identify, delineate and characterize malformations of cortical development (MCD), and to disambiguate doubtful findings observed at lower field strengths. High resolution structural sequences such as magnetization prepared two rapid acquisition gradient echoes (MP2RAGE), fluid and white matter suppression MP2RAGE (FLAWS), and susceptibility-weighted imaging (SWI) appear to be key to the improvement of MCD diagnosis in clinical practice. 7T MRI offers not only images of high resolution and contrast but also provides many quantitative approaches capable of acting as more efficient probes of microstructure and ameliorating the categorization of MCDs. Post-processing of multiparametric ultra-high resolution and quantitative data may also be used to improve automated detection of MCD via machine learning. Therefore, 7T MRI can be considered as a useful tool in the presurgical evaluation of drug-resistant partial epilepsies, particularly, but not exclusively, in cases of normal appearing conventional MRI. It also opens many perspectives in the fields of in vivo histology and computational anatomy.
Published: 2019

23. Spinal cord involvement in multiple sclerosis and neuromyelitis optica spectrum disorders

Author: Eoin P. Flanagan, Benjamin Greenberg, Olga Ciccarelli, Olaf Stüve, Jean-Philippe Ranjeva, Maria Pia Sormani, Regina Schlaerger, Myla D. Goldman, Jeffrey A. Cohen, Emmanuelle Waubant, Franz Fazekas, Ellen M. Mowry, Daniel S. Reich, Frederik Barkhof, Hans Lassmann, Anthony Traboulsee, Sandra Vukusic, Mar Tintoré, Bernard M. J. Uitdehaag, Anke Henning, Daniel Pelletier, Alan J. Thompson, Junqian Xu, Jorge Correale, Burkhard Becher, Stephen Reingold, Nicola De Stefano, Bruce F. Bebo, Izlem Izbudak, Claudia Chien, Stephen C. Reingold, Steven Galetta, Claudia Gandini Wheeler-Kingshott, Sebastien Ourselin, Alex Rovira, Mark S. Freedman, Brenda Banwell, Aaron E. Miller, Xavier Montalban, Cornelia Laule, Claudia F. Lucchinetti, Giancarlo Comi, Peter A. Calabresi, Hans-Peter Hartung, Maria Trojano, Ludwig Kappos, Bernhard Hemmer, Bruce D. Trapp, Brian G. Weinshenker, Kazuo Fujihara, Tanuja Chitnis, Jérôme De Seze, Francois Bethoux, Per Soelberg Sørensen, Fred D. Lublin, Alexander U. Brandt, Carsten Lukas, Wallace J Brownlee, Maria Pia Amato, Jeremy Chatway, David Miller, Friedemann Paul, Maria A. Rocca, Ruth Ann Marrie, Michael J. Levy, University of Pennsylvania, VU University Medical Center [Amsterdam], University College of London [London] (UCL), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Departamento de Neurologia, Instituto de Investigaciones Neurológicas 'Dr. Raul Carrea', Instituto de Investigaciones Neurológicas 'Dr. Raul Carrea', Service de Neurologie [Strasbourg], CHU Strasbourg-Hopital Civil, Dept. of Neurological and Behavioural Sciences, Siena, Department of Neurology [Austria], Medical University Graz, Ottawa Hospital Research Institute [Ottawa] (OHRI), Tohoku University Graduate School of Medicine, Munich Cluster of Systems Neurology (SyNery), Clinical Neuroimmunology, Department of Biomedicine, University of Basel, Basel, Matière et Systèmes Complexes (MSC), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), St. Josef Hospital, Ruhr-University Bochum, Vall Hebron Research Institute (VHIR), Translational imaging group [London] (TIG), Centre for Medical Image Computing (CMIC), University College of London [London] (UCL)-University College of London [London] (UCL)-Department of Medical Physics and Biomedical Engineering (UCL), Max Delbrueck Centre for Molecular Medicine, Departments of Neurology and Immunobiology [Yale], Yale School of Medicine [New Haven, Connecticut] (YSM), Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE)-Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Aix Marseille Université (AMU), Centre National de la Recherche Scientifique (CNRS), National Institutes of Health [Bethesda] (NIH), Vall d'Hebron University Hospital [Barcelona], Dept. of Neurology, University Hospital Rigshospitalet, Centre d'Esclerosi Múltiple de Catalunya (CemCat), Division of Geriatric Medicine, University of British Columbia (UBC), Service de Neurologie [Lyon], CHU Lyon, Department of Neurology, University of California [San Francisco] (UC San Francisco), University of California (UC)-University of California (UC), NMR Research Unit [London], Institute of Neurology [London], University College of London [London] (UCL)-University College of London [London] (UCL), Icahn School of Medicine at Mount Sinai [New York] (MSSM), University of Pennsylvania [Philadelphia], Matière et Systèmes Complexes (MSC (UMR_7057)), Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7), Yale University School of Medicine, Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - AP-HM] (CEMEREM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)- Hôpital de la Timone [CHU - APHM] (TIMONE), University of California [San Francisco] (UCSF), and University of California-University of California
Subjects: 0301 basic medicine, Pediatrics, medicine.medical_specialty, Multiple Sclerosis, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Spinal cord involvement, 03 medical and health sciences, Myelopathy, 0302 clinical medicine, medicine, Humans, Pathological, ComputingMilieux_MISCELLANEOUS, business.industry, Multiple sclerosis, Neuromyelitis Optica, Clinical course, medicine.disease, Spinal cord, 3. Good health, Clinical trial, 030104 developmental biology, medicine.anatomical_structure, Spinal Cord, Neuromyelitis Optica Spectrum Disorders, Neurology (clinical), business, 030217 neurology & neurosurgery
Abstract: Spinal cord involvement is an important cause of disability in patients with multiple sclerosis or neuromyelitis optica spectrum disorders (NMOSDs). Multiple sclerosis and NMOSDs can be distinguished from other disorders that cause myelopathy by results from laboratory and radiological investigations. However, limitations in the sensitivity and specificity of spinal cord imaging and poor correlation with disability megasures have impeded the understanding of the relationship between spinal cord involvement and clinical manifestations. Nevertheless, studies of the pathological features of multiple sclerosis and NMOSDs have shown that quantitatively different mechanisms lead to differences in clinical course and pattern of accrual of permanent disability in the two disorders. Better understanding of these mechanisms is necessary to develop more informative clinical measures, electrophysiological methods, fluid biomarkers, and imaging techniques to detect and monitor spinal cord involvement in the diagnosis and management of patients with multiple sclerosis or NMOSDs, and as outcome measures in clinical trials.
Published: 2019

24. Dynamic 23Na MRI - A non-invasive window on neuroglial-vascular mechanisms underlying brain function

Author: Ben Ridley, Marie Bertinetti, Maxime Guye, Mark Bydder, Wafaa Zaaraoui, Sylviane Confort-Gouny, Manon Soubrier, Lothar R. Schad, Jean-Philippe Ranjeva, Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE)-Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Aix Marseille Université (AMU), Centre National de la Recherche Scientifique (CNRS), University of Heidelberg, Medical Faculty, ANR-11-IDEX-0001,Amidex,INITIATIVE D'EXCELLENCE AIX MARSEILLE UNIVERSITE(2011), ANR-15-CE19-0019,NEUROintraSOD-7T,Nouvelles stratégies pour quantifier in vivo les concentrations cérébrales intracellulaires de sodium par IRM 7T chez l'homme. Application à l'évaluation de la neurodégénérescence corticale et sous-corticale dans la sclérose en plaques(2015), ANR-11-EQPX-0001,7T AMI,Projet d'Aix-Marseille Université pour l'IRM 7T chez l'homme(2011), ANR-11-INBS-0006,FLI,France Life Imaging(2011), European Project: 609102,EC:FP7:PEOPLE,FP7-PEOPLE-2013-COFUND,PRESTIGE(2014), Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - AP-HM] (CEMEREM), and Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)-Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)- Hôpital de la Timone [CHU - APHM] (TIMONE)
Subjects: Cerebellum, Dendritic spine, 7T, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Cognitive Neuroscience, Sodium, Precuneus, chemistry.chemical_element, Inhibitory postsynaptic potential, 050105 experimental psychology, 03 medical and health sciences, 0302 clinical medicine, Nuclear magnetic resonance, Motor system, medicine, 0501 psychology and cognitive sciences, Excitation, Inhibition, medicine.diagnostic_test, Chemistry, 05 social sciences, fMRI, Brain, Magnetic resonance imaging, medicine.anatomical_structure, Neurology, 23 Na MRI, 030217 neurology & neurosurgery, Intracellular
Abstract: International audience; A novel magnetic resonance imaging (MRI) acquisition and reconstruction method for obtaining a series of dynamic sodium 23 Na-MRI acquisitions was designed to non-invasively assess the signal variations of brain sodium during a hand motor task in 14 healthy human volunteers on an ultra high field (7T) MR scanner. Regions undergoing activation and deactivation were identified with reference to conventional task-related BOLD functional MRI (fMRI). Activation observed in the left central regions, the supplementary motor areas and the left cerebellum induced an increase in the sodium signal observed at ultra short echo time and a decrease in the 23 Na signal observed at long echo time. Based on a simple model of two distinct sodium pools (namely, restricted and mobile sodium), the ultra short echo time measures the totality of sodium whereas the long echo time is mainly sensitive to mobile sodium. This activation pattern is consistent with previously described processes related to an influx of Na + into the intracellular compartments and a moderate increase in the cerebral blood volume (CBV). In contrast, deactivation observed in the right central regions ipsilateral to the movement, the precuneus and the left cerebellum induced a slight decrease in sodium signal at ultra short echo time and an increase of sodium signal at longer echo times. This inhibitory pattern is compatible with a slight decrease in CBV and an efflux of intracellular Na + to the extracellular compartments that may reflect neural dendritic spine and astrocytic shrinkage, and an increase of sodium in the extracellular fraction. In conclusion, cerebral dynamic 23 Na MRI experiments can provide access to the ionic transients following a functional task occurring within the neuro-glial-vascular ensemble. This has the potential to open up a novel non-invasive window on the mechanisms underlying brain function.
Published: 2019

25. Connectivity strength, time lag structure and the epilepsy network in resting-state fMRI

Author: Ben Ridley, Francesca Pizzo, Jean Régis, Maxime Guye, Fabrice Bartolomei, Romain Carron, Jean-Philippe Ranjeva, S. Kathleen Bandt, Pierre Besson, Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE)-Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Service de neurophysiologie clinique [Hôpital de la Timone - APHM], Hôpital de la Timone [CHU - APHM] (TIMONE), Institut de Neurosciences des Systèmes (INS), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de neurochirurgie fonctionnelle et stéréotaxique [CHU La Timone] (Gamma Knife Unit), Université de la Méditerranée - Aix-Marseille 2- Hôpital de la Timone [CHU - APHM] (TIMONE), Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), AP-HM, Pôle d'imagerie médicale, Hôpital de la Timone, CEMEREM, Marseille, France, Institut National de la Santé et de la Recherche Médicale (INSERM)-Aix Marseille Université (AMU), and Hôpital de la Timone [CHU - APHM] (TIMONE)-Université de la Méditerranée - Aix-Marseille 2
Subjects: Male, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Neuropsychological Tests, Functional Laterality, lcsh:RC346-429, Correlation, Functional connectivity, Epilepsy, Seizure onset, 0302 clinical medicine, Neural Pathways, ComputingMilieux_MISCELLANEOUS, Brain Mapping, 05 social sciences, Brain, Electroencephalography, Regular Article, Middle Aged, Epileptogenic zone, Magnetic Resonance Imaging, Resting state networks, Epilepsy network, Neurology, lcsh:R858-859.7, Female, Algorithms, Adult, Rest, Cognitive Neuroscience, Time lag, Biology, lcsh:Computer applications to medicine. Medical informatics, 050105 experimental psychology, Brain findings, Young Adult, 03 medical and health sciences, Seizures, medicine, Humans, 0501 psychology and cognitive sciences, Radiology, Nuclear Medicine and imaging, lcsh:Neurology. Diseases of the nervous system, Resting state fMRI, medicine.disease, Neurology (clinical), Nerve Net, Neuroscience, 030217 neurology & neurosurgery, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract: Highlights • Stereo-encephalography informed high-resolution functional connectome analysis on the nodal and whole brain levels identifies consistent patterns of altered correlation strength and altered time lag architecture in epilepsy patients compared to controls. • Specific patterns of altered connectivity include:.○broadly distributed increased strength of correlation between the seizure onset node and the remainder of the brain.○decreased time lag within the seizure onset node.○globally increased time lag throughout all regions of the brain not involved in seizure onset or propagation. • Comparing the topographic distribution of findings against a functional atlas, all resting state networks were involved to a variable degree. These local and whole brain findings presented here lead us to propose the network steal hypothesis as a possible mechanistic explanation for the non-seizure clinical manifestations of epilepsy., The relationship between the epilepsy network, intrinsic brain networks and hypersynchrony in epilepsy remains incompletely understood. To converge upon a synthesized understanding of these features, we studied two elements of functional connectivity in epilepsy: correlation and time lag structure using resting state fMRI data from both SEEG-defined epileptic brain regions and whole-brain fMRI analysis. Functional connectivity (FC) was analyzed in 15 patients with epilepsy and 36 controls. Correlation strength and time lag were selected to investigate the magnitude of and temporal interdependency across brain regions. Zone-based analysis was carried out investigating directed correlation strength and time lag between both SEEG-defined nodes of the epilepsy network and between the epileptogenic zone and all other brain regions. Findings were compared between patients and controls and against a functional atlas. FC analysis on the nodal and whole brain levels identifies consistent patterns of altered correlation strength and altered time lag architecture in epilepsy patients compared to controls. These patterns include 1) broadly distributed increased strength of correlation between the seizure onset node and the remainder of the brain, 2) decreased time lag within the seizure onset node, and 3) globally increased time lag throughout all regions of the brain not involved in seizure onset or propagation. Comparing the topographic distribution of findings against a functional atlas, all resting state networks were involved to a variable degree. These local and whole brain findings presented here lead us to propose the network steal hypothesis as a possible mechanistic explanation for the non-seizure clinical manifestations of epilepsy.
Published: 2019

26. Tract-specific and age-related variations of the spinal cord microstructure: a multi-parametric MRI study using diffusion tensor imaging (DTI) and inhomogeneous magnetization transfer (ihMT)

Author: Guillaume Duhamel, Jean-Philippe Ranjeva, Olivier M. Girard, Maxime Guye, Thorsten Feiweier, Arnaud Le Troter, Virginie Callot, and Manuel Taso
Subjects: Chemistry, Multiple sclerosis, Central nervous system, medicine.disease, Spinal cord, 030218 nuclear medicine & medical imaging, 3. Good health, White matter, 03 medical and health sciences, Myelopathy, 0302 clinical medicine, Nuclear magnetic resonance, medicine.anatomical_structure, Spatial normalization, medicine, Molecular Medicine, Radiology, Nuclear Medicine and imaging, Magnetization transfer, 030217 neurology & neurosurgery, Spectroscopy, Diffusion MRI
Abstract: Being able to finely characterize the spinal cord (SC) microstructure and its alterations is a key point when investigating neural damage mechanisms encountered in different central nervous system (CNS) pathologies, such as multiple sclerosis, amyotrophic lateral sclerosis or myelopathy. Based on novel methods, including inhomogeneous magnetization transfer (ihMT) and dedicated SC probabilistic atlas post-processing, the present study focuses on the in vivo characterization of the healthy SC tissue in terms of regional microstructure differences between (i) upper and lower cervical vertebral levels and (ii) sensory and motor tracts, as well as differences attributed to normal aging. Forty-eight healthy volunteers aged from 20 to 70 years old were included in the study and scanned at 3 T using axial high-resolution T2 *-w imaging, diffusion tensor imaging (DTI) and ihMT, at two vertebral levels (C2 and C5). A processing pipeline with minimal user intervention, SC segmentation and spatial normalization into a reference space was implemented in order to assess quantitative morphological and structural parameters (cross-sectional areas, scalar DTI and MT/ihMT metrics) in specific white and gray matter regions of interest. The multi-parametric MRI metrics collected allowed upper and lower cervical levels to be distinguished, with higher ihMT ratio (ihMTR), higher axial diffusivity (λ∥ ) and lower radial diffusivity (λ⊥ ) at C2 compared with C5. Significant differences were also observed between white matter fascicles, with higher ihMTR and lower λ∥ in motor tracts compared with posterior sensory tracts. Finally, aging was found to be associated with significant metric alterations (decreased ihMTR and λ∥ ). The methodology proposed here, which can be easily transferred to the clinic, provides new insights for SC characterization. It bears great potential to study focal and diffuse SC damage in neurodegenerative and demyelinating diseases. Copyright © 2016 John Wiley & Sons, Ltd.
Published: 2016

27. Test-retest reliability of the default mode network in a multi-centric fMRI study of healthy elderly: Effects of data-driven physiological noise correction techniques

Author: Rocco Marchitelli, Piero Floridi, Agnese Picco, Mira Didic, Manos Constantinidis, Julien Sein, Franco Alessandrini, Bernhard W. Müller, Carlo Cavaliere, Olivier Blin, Tilman Hensch, Lucilla Parnetti, Jean-Philippe Ranjeva, Antonios Drevelegas, Frederik Barkhof, Pierre Payoux, Roberto Tarducci, Jens Wiltfang, Beatriz Bosch, Magda Tsolaki, Camillo Marra, Régis Bordet, Renaud Lopes, Stéphanie Bombois, Massimo Caulo, Jorge Jovicich, Andrea Soricelli, Pieter Jelle Visser, David Bartrés-Faz, Antonio Ferretti, Núria Bargalló, Joost P.A. Kuijer, Karl-Titus Hoffmann, Moira Marizzoni, Luca Roccatagliata, Ludovico Minati, Giada Zoccatelli, Ute Fiedler, Alberto Beltramello, Helene Gros-Dagnac, Marco Aiello, Peter Schönknecht, Paolo Maria Rossini, Giovanni B. Frisoni, and Flavio Nobili
Subjects: medicine.medical_specialty, Pathology, Reproducibility, Radiological and Ultrasound Technology, Resting state fMRI, 05 social sciences, Regression analysis, Audiology, Brain mapping, 050105 experimental psychology, Regression, 03 medical and health sciences, Communication noise, 0302 clinical medicine, Neurology, medicine, 0501 psychology and cognitive sciences, Radiology, Nuclear Medicine and imaging, Neurology (clinical), Anatomy, Psychology, 030217 neurology & neurosurgery, Reliability (statistics), Default mode network
Abstract: Understanding how to reduce the influence of physiological noise in resting state fMRI data is important for the interpretation of functional brain connectivity. Limited data is currently available to assess the performance of physiological noise correction techniques, in particular when evaluating longitudinal changes in the default mode network (DMN) of healthy elderly participants. In this 3T harmonized multisite fMRI study, we investigated how different retrospective physiological noise correction (rPNC) methods influence the within-site test-retest reliability and the across-site reproducibility consistency of DMN-derived measurements across 13 MRI sites. Elderly participants were scanned twice at least a week apart (five participants per site). The rPNC methods were: none (NPC), Tissue-based regression, PESTICA and FSL-FIX. The DMN at the single subject level was robustly identified using ICA methods in all rPNC conditions. The methods significantly affected the mean z-scores and, albeit less markedly, the cluster-size in the DMN; in particular, FSL-FIX tended to increase the DMN z-scores compared to others. Within-site test-retest reliability was consistent across sites, with no differences across rPNC methods. The absolute percent errors were in the range of 5-11% for DMN z-scores and cluster-size reliability. DMN pattern overlap was in the range 60-65%. In particular, no rPNC method showed a significant reliability improvement relative to NPC. However, FSL-FIX and Tissue-based physiological correction methods showed both similar and significant improvements of reproducibility consistency across the consortium (ICC = 0.67) for the DMN z-scores relative to NPC. Overall these findings support the use of rPNC methods like tissue-based or FSL-FIX to characterize multisite longitudinal changes of intrinsic functional connectivity. Hum Brain Mapp 37:2114-2132, 2016. © 2016 Wiley Periodicals, Inc.
Published: 2016

28. Metabolic voxel-based analysis of the complete human brain using fast 3D-MRSI: Proof of concept in multiple sclerosis

Author: Fanelly Pariollaud, Jean Pelletier, Maxime Guye, Jean-Philippe Ranjeva, Soraya Gherib, Bertrand Audoin, Yann Le Fur, Wafaa Zaaraoui, Angèle Lecocq, Andrew A. Maudsley, Maxime Donadieu, Marie Pierre Ranjeva, Sylviane Confort-Gouny, and Elisabeth Soulier
Subjects: Pathology, medicine.medical_specialty, medicine.diagnostic_test, business.industry, Multiple sclerosis, Magnetic resonance imaging, Human brain, computer.software_genre, medicine.disease, 030218 nuclear medicine & medical imaging, Phosphocreatine, White matter, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, medicine.anatomical_structure, Atrophy, chemistry, Voxel, Spatial normalization, medicine, Radiology, Nuclear Medicine and imaging, business, computer, 030217 neurology & neurosurgery
Abstract: Purpose To detect local metabolic abnormalities over the complete human brain in multiple sclerosis (MS) patients, we used optimized fast volumic echo planar spectroscopic imaging (3D-EPSI). Materials and Methods Weighted mean combination of two 3D-EPSI covering the whole brain acquired at 3T in AC-PC and AC-PC+15° axial planes was performed to obtain high-quality metabolite maps for five metabolites: N-acetyl aspartate (NAA), glutamate+glutamine (Glx), choline (Cho), myo-inositol (m-Ins), and creatine+phosphocreatine (tCr). After spatial normalization, maps from 19 patients suffering from relapsing-remitting MS were compared to 19 matched controls using statistical mapping analyses to determine the topography of metabolic abnormalities. Probabilistic white matter (WM) T2 lesion maps and gray matter (GM) atrophy maps were also generated. Results Two-group analysis of variance (ANOVA) (SPM8, P
Published: 2016

29. Longitudinal study of functional brain network reorganization in clinically isolated syndrome

Author: Jean-Philippe Ranjeva, Cécile Dulau, Thomas Tourdias, Jean Pelletier, Bruno Brochet, Bertrand Audoin, Mathilde Deloire, Ismail Koubiyr, Pierrick Coupé, Pierre Besson, Aurélie Ruet, Université de Bordeaux (UB), Service de neurologie [Bordeaux], CHU Bordeaux [Bordeaux]-Groupe hospitalier Pellegrin, Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE)-Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS), Aix Marseille Université (AMU), Patch-based processing for medical and natural images (PICTURA), Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS), Neuroinflammation: imagerie et thérapie de la sclérose en plaques, Université Bordeaux Segalen - Bordeaux 2-Institut National de la Santé et de la Recherche Médicale (INSERM), Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - AP-HM] (CEMEREM), Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)-Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)- Hôpital de la Timone [CHU - APHM] (TIMONE), and Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)
Subjects: Adult, Male, Longitudinal study, longitudinal, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, graph theory, Neuroimaging, Multiple sclerosis, 03 medical and health sciences, Functional brain, 0302 clinical medicine, Image Interpretation, Computer-Assisted, Humans, Medicine, Longitudinal Studies, 030212 general & internal medicine, ComputingMilieux_MISCELLANEOUS, Clinically isolated syndrome, business.industry, Brain, medicine.disease, Magnetic Resonance Imaging, Neurology, clinically isolated syndrome, networks, functional MRI, Female, Neurology (clinical), Nerve Net, business, Neuroscience, 030217 neurology & neurosurgery, Demyelinating Diseases
Abstract: Background: There is a lack of longitudinal studies exploring the topological organization of functional brain networks at the early stages of multiple sclerosis (MS). Objective: This study aims to assess potential brain functional reorganization at rest in patients with CIS (PwCIS) after 1 year of evolution and to characterize the dynamics of functional brain networks at the early stage of the disease. Methods: We prospectively included 41 PwCIS and 19 matched healthy controls (HCs). They were scanned at baseline and after 1 year. Using graph theory, topological metrics were calculated for each region. Hub disruption index was computed for each metric. Results: Hub disruption indexes of degree and betweenness centrality were negative at baseline in patients ( p Conclusion: Dynamic changes in functional brain networks appear at the early stages of MS and are associated with the maintenance of normal global efficiency in the brain, suggesting a compensatory effect.
Published: 2018

30. IC‐P‐126: VOLUMETRIC ACCURACY OF A FULLY AUTOMATIC TOOL FOR WHITE MATTER HYPERINTENSITIES (WMHS) SEGMENTATION

Author: Mira Didic, Tilman Hensch, Agnese Picco, Moira Marizzoni, Ute Fiedler, Stéphanie Bombois, Antonio Ferretti, Jean-Philippe Ranjeva, Robertto Tarducci, Frederik Barkhof, Camillo Marra, Federica Ribaldi, Jorge Jovicich, Joost P.A. Kuijer, Renaud Lopes, Alberto Beltramello, Antonios Drevelegas, Luca Roccatagliata, Giovanni B. Frisoni, Helene Gros-Dagnac, Carlo Cavaliere, David Bartrés-Faz, Marco Aiello, Julien Sein, Peter Schönknecht, Lucilla Parnetti, Andrea Soricelli, Clarissa Ferrari, Flavio Nobili, Karl-Titus Hoffmann, Paolo Maria Rossini, Manos Constantinides, Beatriz Bosch, Magda Tsolaki, Jens Wiltfang, Martina Montalti, Núria Bargalló, Régis Bordet, Bernhard W. Müller, Olivier Blin, Piero Floridi, Franco Alessandrini, Pierre Payoux, Pieter Jelle Visser, and Massimo Caulo
Subjects: Epidemiology, business.industry, Computer science, Health Policy, Pattern recognition, Hyperintensity, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Psychiatry and Mental health, Cellular and Molecular Neuroscience, 0302 clinical medicine, Developmental Neuroscience, Fully automatic, Segmentation, Neurology (clinical), Artificial intelligence, Geriatrics and Gerontology, business, 030217 neurology & neurosurgery
Published: 2018

31. An MRI evaluation of grey matter damage in African Americans with MS

Author: Roxana Vancea, Jean-Philippe Ranjeva, Monika M. Heinig, Lazar Fleysher, Jonathan Howard, Niels Oesingmann, Wafaa Zaaraoui, Sirio Cocozza, Maria Petracca, Matilde Inglese, Icahn School of Medicine at Mount Sinai [New York] (MSSM), Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - AP-HM] (CEMEREM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)- Hôpital de la Timone [CHU - APHM] (TIMONE), Centre National de la Recherche Scientifique (CNRS), Aix Marseille Université (AMU), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE)-Centre de résonance magnétique biologique et médicale (CRMBM), and Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)
Subjects: 0301 basic medicine, Male, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Image Processing, Gastroenterology, African Americans, Grey matter, Multiple Sclerosis, Adult, Cross-Sectional Studies, Disability Evaluation, Female, Gray Matter, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Oxygen, Statistics, Nonparametric, White Matter, Young Adult, 0302 clinical medicine, Computer-Assisted, Brain mri, 10. No inequality, ComputingMilieux_MISCELLANEOUS, grey matter, multiple sclerosis, Statistics, General Medicine, medicine.anatomical_structure, Neurology, Cerebellar atrophy, Volume loss, medicine.medical_specialty, Article, Disease course, 03 medical and health sciences, Disease severity, Internal medicine, medicine, Nonparametric, business.industry, Multiple sclerosis, medicine.disease, Black or African American, Motor task, 030104 developmental biology, Neurology (clinical), business, 030217 neurology & neurosurgery
Abstract: OBJECTIVE: Multiple sclerosis (MS) is less prevalent in African Americans (AAs) than Caucasians (CAs) but in the former the disease course tends to be more severe. In order to clarify the MRI correlates of disease severity in AAs, we performed a multimodal brain MRI study to comprehensively assess the extent of grey matter (GM) damage and the degree of functional adaptation to structural damage in AAs with MS. METHODS: In this cross-sectional study, we characterized GM damage in terms of focal lesions and volume loss and functional adaptation during the execution of a simple motor task on a sample of 20 AAs and 20 CAs with MS and 20 healthy controls (CTRLs). RESULTS: In AAs, we observed a wider range of EDSS scores than CAs, with multisystem involvement being more likely in AAs (p
Published: 2018

32. Evaluation of the Sensitivity of Inhomogeneous Magnetization Transfer (ihMT) MRI for Multiple Sclerosis

Author: E. Van Obberghen, Jean-Philippe Ranjeva, Gopal Varma, Patrick Viout, Olivier M. Girard, A. Le Troter, Samira Mchinda, Jean Pelletier, David C. Alsop, Maxime Guye, Guillaume Duhamel, Valentin H. Prevost, Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - AP-HM] (CEMEREM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)- Hôpital de la Timone [CHU - APHM] (TIMONE), Beth Israel Deaconess Medical Center [Boston] (BIDMC), Harvard Medical School [Boston] (HMS), A*MIDEX ANR (Agence Nationale de la Recherche, n° ANR11-IDEX-0001-02)- Association pour la recherche sur la sclérose en plaques (ARSEP) 2015 - Institut pour la recherche sur la moelle épinière et l’encéphale (IRME) 2016, ANR-11-IDEX-0001,Amidex,INITIATIVE D'EXCELLENCE AIX MARSEILLE UNIVERSITE(2011), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE)-Centre de résonance magnétique biologique et médicale (CRMBM), and Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Adult, Male, inhomogeneous Magnetization Transfer, Multiple Sclerosis, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [SDV]Life Sciences [q-bio], Population, Neuroimaging, ihMT, Sensitivity and Specificity, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Nuclear magnetic resonance, Multiple Sclerosis, Relapsing-Remitting, medicine, Humans, Radiology, Nuclear Medicine and imaging, Magnetization transfer imaging, Sensitivity (control systems), Magnetization transfer, Prospective Studies, 10. No inequality, education, education.field_of_study, Expanded Disability Status Scale, business.industry, Multiple sclerosis, Adult Brain, Brain, MS, Middle Aged, Control subjects, medicine.disease, equipment and supplies, Mr imaging, Magnetic Resonance Imaging, Myelin imaging, Female, Neurology (clinical), business, human activities, 030217 neurology & neurosurgery
Abstract: International audience; BACKGROUND AND PURPOSE: Inhomogeneous magnetization transfer is a new endogenous MR imaging contrast mechanism that has demonstrated high specificity for myelin. Here, we tested the hypothesis that inhomogeneous magnetization transfer is sensitive to pathology in a population of patients with relapsing-remitting MS in a way that both differs from and complements conventional magnetization transfer.MATERIALS AND METHODS: Twenty-five patients with relapsing-remitting MS and 20 healthy volunteers were enrolled in a prospective MR imaging research study, whose protocol included anatomic imaging, standard magnetization transfer, and inhomogeneous magneti- zation transfer imaging. Magnetization transfer and inhomogeneous magnetization transfer ratios measured in normal-appearing brain tissue and in MS lesions of patients were compared with values measured in control subjects. The potential association of inhomogeneous magnetization transfer ratio variations with the clinical scores (Expanded Disability Status Scale) of patients was further evaluated.RESULTS: The magnetization transfer ratio and inhomogeneous magnetization transfer ratio measured in the thalami and frontal, occipital, and temporal WM of patients with MS were lower compared with those of controls (P < .05). The mean inhomogeneous magnetization transfer ratio measured in lesions was lower than that in normal-appearing WM (P< .05). Significant (P< .05) negative correlations were found between the clinical scores and inhomogeneous magnetization transfer ratio measured in normal-appearing WM structures. Weaker nonsignificant correlation trends were found for the magnetization transfer ratio.CONCLUSIONS: The sensitivity of the inhomogeneous magnetization transfer technique for MS was highlighted by the reduction in the inhomogeneous magnetization transfer ratio in MS lesions and in normal-appearing WM of patients compared with controls. Stronger correlations with the Expanded Disability Status Scale score were obtained with the inhomogeneous magnetization transfer ratio com- pared with the standard magnetization transfer ratio, which may be explained by the higher specificity of inhomogeneous magnetization transfer for myelin.
Published: 2017

33. Anatomic consistencies across epilepsies: a stereotactic-EEG informed high-resolution structural connectivity study

Author: Jean-Philippe Ranjeva, Fabrice Bartolomei, Timothcrée Proix, Stanislas Lagarde, S. Kathleen Bandt, Viktor K. Jirsa, Maxime Guye, Pierre Besson, Centre de résonance magnétique biologique et médicale (CRMBM), Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - AP-HM] (CEMEREM), Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)-Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)- Hôpital de la Timone [CHU - APHM] (TIMONE), Institut de Neurosciences des Systèmes (INS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Aix Marseille Université (AMU), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)- Hôpital de la Timone [CHU - APHM] (TIMONE), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Hôpital de la Timone [CHU - APHM] (TIMONE)-Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), and Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] (CEMEREM)
Subjects: 0301 basic medicine, Adult, Male, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, SEEG, High resolution, Biology, Electroencephalography, Stereoelectroencephalography, Functional networks, Stereotaxic Techniques, 03 medical and health sciences, Epilepsy, 0302 clinical medicine, Salience (neuroscience), crmbm, medicine, diffusion weighted imaging, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Humans, structural connectivity, snc, Default mode network, ComputingMilieux_MISCELLANEOUS, Brain Mapping, medicine.diagnostic_test, Middle Aged, medicine.disease, brain networks, 3. Good health, 030104 developmental biology, Diffusion Magnetic Resonance Imaging, epilepsy, Female, Neurology (clinical), Nerve Net, Neuroscience, 030217 neurology & neurosurgery, Diffusion MRI
Abstract: See Bernasconi (doi:10.1093/brain/awx229) for a scientific commentary on this article. Drug-resistant localization-related epilepsies are now recognized as network diseases. However, the exact relationship between the organization of the epileptogenic network and brain anatomy overall remains incompletely understood. To better understand this relationship, we studied structural connectivity obtained from diffusion weighted imaging in patients with epilepsy using both stereo-electroencephalography (SEEG)-determined epileptic brain regions and whole-brain analysis. High resolution structural connectivity analysis was applied in 15 patients with drug-resistant localization-related epilepsies and 36 healthy control subjects to study structural connectivity changes in epilepsy. Two different methods of structural connectivity analysis were carried out using diffusion weighted imaging, one focusing on the relationship between epileptic regions determined by SEEG investigations and one blinded to epileptic regions looking at whole-brain connectivity. First, we performed zone-based analysis comparing structural connectivity findings in patients and controls within and between SEEG-defined zones of interest. Next, we performed whole-brain structural connectivity analysis in all subjects and compared findings to the same SEEG-defined zones of interest. Finally, structural connectivity findings were correlated against clinical features. Zone-based analysis revealed no significant decreased structural connectivity within nodes of the epilepsy network at the group level, but did demonstrate significant structural connectivity differences between nodes of the epileptogenic network (regions involved in seizures generation and propagation) and the remaining of the brain in patients compared to controls. Whole-brain analyses showed a total of 133 clusters of significantly decreased structural connectivity across all patients. One cluster of significantly increased structural connectivity was identified in a single patient. Clusters of decreased structural connectivity showed topographical preference for both the salience and default mode networks despite clinical heterogeneity within our patient sample. Correlation analysis did not reveal any significant findings regarding either the effect of age at disease onset, disease duration or post-surgical outcome on structural connectivity. Taken together, this work demonstrates that structural connectivity disintegration targets distributed functional networks while sparing the epilepsy network.
Published: 2017

34. Metabolic counterparts of sodium accumulation in multiple sclerosis: A whole brain (23)Na-MRI and fast (1)H-MRSI study

Author: Ben Ridley, Maxime Donadieu, Wafaa Zaaraoui, Lothar R. Schad, Bertrand Audoin, Jean-Philippe Ranjeva, Soraya Gherib, Yann Le Fur, Jean Pelletier, Andrew A. Maudsley, Maxime Guye, Sylviane Confort-Gouny, Adil Maarouf, Lauriane Pini, Stanislas Rapacchi, Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Neurologie, maladies neuro-musculaires [Hôpital de la Timone - APHM], and Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)- Hôpital de la Timone [CHU - APHM] (TIMONE)
Subjects: Pathology, medicine.medical_specialty, Multiple Sclerosis, 23Na-MRI, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Sodium, chemistry.chemical_element, 03 medical and health sciences, 0302 clinical medicine, 610 Medical sciences Medicine, In vivo, crmbm, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Medicine, stepwise regression, 030212 general & internal medicine, snc, Pathological, business.industry, Multiple sclerosis, Neurodegeneration, neurodegeneration, medicine.disease, MRSI, Neurology, chemistry, 23na mri, Neurology (clinical), demyelination, business, 030217 neurology & neurosurgery
Abstract: Background: Increase of brain total sodium concentrations (TSC) is present in multiple sclerosis (MS), but its pathological involvement has not been assessed yet. Objective: To determine in vivo the metabolic counterpart of brain sodium accumulation. Materials/methods: Whole brain 23Na-MR imaging and 3D-1H-EPSI data were collected in 21 relapsing-remitting multiple sclerosis (RRMS) patients and 20 volunteers. Metabolites and sodium levels were extracted from several regions of grey matter (GM), normal-appearing white matter (NAWM) and white matter (WM) T2 lesions. Metabolic and ionic levels expressed as Z-scores have been averaged over the different compartments and used to explain sodium accumulations through stepwise regression models. Results: MS patients showed significant 23Na accumulations with lower choline and glutamate–glutamine (Glx) levels in GM; 23Na accumulations with lower N-acetyl aspartate (NAA), Glx levels and higher Myo-Inositol (m-Ins) in NAWM; and higher 23Na, m-Ins levels with lower NAA in WM T2 lesions. Regression models showed associations of TSC increase with reduced NAA in GM, NAWM and T2 lesions, as well as higher total-creatine, and smaller decrease of m-Ins in T2 lesions. GM Glx levels were associated with clinical scores. Conclusion: Increase of TSC in RRMS is mainly related to neuronal mitochondrial dysfunction while dysfunction of neuro-glial interactions within GM is linked to clinical scores.
Published: 2017

35. Trimmed autocalibrating k-space estimation based on structured matrix completion

Author: Maxime Guye, Jean-Philippe Ranjeva, Olivier M. Girard, Mark Bydder, Stanislas Rapacchi, Centre de résonance magnétique biologique et médicale (CRMBM), and Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Calibration (statistics), [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Normal Distribution, Biomedical Engineering, Biophysics, Low-rank approximation, Artefacts, Least squares, IRLS, 030218 nuclear medicine & medical imaging, Iteratively reweighted least squares, Structured low rank approximation, Motion, 03 medical and health sciences, 0302 clinical medicine, Robust, crmbm, Image Processing, Computer-Assisted, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Humans, Radiology, Nuclear Medicine and imaging, Computer vision, snc, Least-Squares Analysis, Mathematics, Matrix completion, Phantoms, Imaging, business.industry, k-space, Image Enhancement, Magnetic Resonance Imaging, Healthy Volunteers, Parallel imaging, Calibration, Trimming, Artificial intelligence, Artifacts, business, Algorithm, Algorithms, 030217 neurology & neurosurgery, Linear equation
Abstract: International audience; PURPOSE: Parallel imaging allows the reconstruction of undersampled data from multiple coils. This provides a means to reject and regenerate corrupt data (e.g. from motion artefact). The purpose of this work is to approach this problem using the SAKE parallel imaging method. THEORY AND METHODS: Parallel imaging methods typically require calibration by fully sampling the center of k-space. This is a challenge in the presence of corrupted data, since the calibration data may be corrupted which leads to an errors-in-variables problem that cannot be solved by least squares or even iteratively reweighted least squares. The SAKE method, based on matrix completion and structured low rank approximation, was modified to detect and trim these errors from the data. RESULTS: Simulated and actual corrupted datasets were reconstructed with SAKE, the proposed approach and a more standard reconstruction method (based on solving a linear equation) with a data rejection criterion. The proposed approach was found to reduce artefacts considerably in comparison to the other two methods. CONCLUSION: SAKE with data trimming improves on previous methods for reconstructing images from grossly corrupted data.
Published: 2017

36. [IC‐P‐167]: ACROSS‐SESSION REPRODUCIBILITY OF AUTOMATIC WHITE MATTER HYPERINTENSITIES SEGMENTATION: A EUROPEAN MULTI‐SITE 3T STUDY

Author: Jean-Philippe Ranjeva, Frederik Barkhof, Piero Floridi, Manos Constantinides, Moira Marizzoni, Massimo Caulo, Agnese Picco, Franco Alessandrini, Jorge Jovicich, Antonio Ferretti, Antonios Drevelegas, Régis Bordet, Mira Didic, Paolo Maria Rossini, Andrea Soricelli, Giada Zoccatelli, Pierre Payoux, Lucilla Parnetti, Beatriz Bosch, Magda Tsolaki, Bernhard W. Müller, Giovanni B. Frisoni, Renaud Lopes, Luca Roccatagliata, Jens Wiltfang, Clarissa Ferrari, David Bartrés-Faz, Pieter Jelle Visser, Flavio Nobili, Julien Sein, Helene Gros-Dagnac, Federica Ribaldi, Olivier Blin, Stéphanie Bombois, Tilman Hensch, Camillo Marra, Marco Aiello, Núria Bargalló, Carlo Cavaliere, Peter Schönknecht, Robertto Tarducci, Karl-Titus Hoffmann, Ute Fiedler, Alberto Beltramello, and Joost P.A. Kuijer
Subjects: 0303 health sciences, Reproducibility, Epidemiology, Computer science, Health Policy, Multi site, Hyperintensity, 03 medical and health sciences, Psychiatry and Mental health, Cellular and Molecular Neuroscience, 0302 clinical medicine, Developmental Neuroscience, Segmentation, Neurology (clinical), Session (computer science), Geriatrics and Gerontology, Cartography, 030217 neurology & neurosurgery, 030304 developmental biology
Published: 2017

37. Complementary contributions of concurrent EEG and fMRI connectivity for predicting structural connectivity

Author: Viktor K. Jirsa, Jean-Philippe Ranjeva, Maxime Guye, Pierre Besson, Christian Bénar, Jonathan Wirsich, Ben Ridley, Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE)-Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Institut de Neurosciences des Systèmes (INS), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - AP-HM] (CEMEREM), and Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)- Hôpital de la Timone [CHU - APHM] (TIMONE)
Subjects: Adult, Male, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Cognitive Neuroscience, Data transformation (statistics), Context (language use), Network theory, Electroencephalography, Machine learning, computer.software_genre, 050105 experimental psychology, 03 medical and health sciences, Young Adult, 0302 clinical medicine, crmbm, medicine, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Connectome, Humans, 0501 psychology and cognitive sciences, Brain connectivity, snc, medicine.diagnostic_test, business.industry, 05 social sciences, Brain, Graph theory, Pattern recognition, Models, Theoretical, Magnetic Resonance Imaging, Euclidean distance, Diffusion Magnetic Resonance Imaging, Neurology, Multimodal, Female, Artificial intelligence, Nerve Net, Psychology, business, computer, 030217 neurology & neurosurgery, Diffusion MRI
Abstract: International audience; While averaged dynamics of brain function are known to estimate the underlying structure, the exact relationship between large-scale function and structure remains an unsolved issue in network neuroscience. These complex functional dynamics, measured by EEG and fMRI, are thought to arise from a shared underlying structural architecture, which can be measured by diffusion MRI (dMRI). While simulation and data transformation (e.g. graph theory measures) have been proposed to refine the understanding of the underlying function-structure relationship, the potential complementary and/or independent contribution of EEG and fMRI to this relationship is still poorly understood. As such, we explored this relationship by analyzing the function-structure correlation in fourteen healthy subjects with simultaneous resting-state EEG-fMRI and dMRI acquisitions. We show that the combination of EEG and fMRI connectivity better explains dMRI connectivity and that this represents a genuine model improvement over fMRI-only models for both group-averaged connectivity matrices and at the individual level. Furthermore, this model improves the prediction within each resting-state network. The best model fit to underlying structure is mediated by fMRI and EEG-δ connectivity in combination with Euclidean distance and interhemispheric connectivity with more local contributions of EEG-γ at the scale of resting state networks. This highlights that the factors mediating the relationship between functional and structural metrics of connectivity are context and scale dependent, influenced by topological, geometric and architectural features. It also suggests that fMRI studies employing simultaneous EEG measures may characterize additional and essential parts of the underlying neuronal activity of the resting-state, which might be of special interest for both clinical studies and the investigation of resting-state dynamics.
Published: 2017

38. Improvement of spasticity following intermittent theta burst stimulation in multiple sclerosis is associated with modulation of resting-state functional connectivity of the primary motor cortices

Author: Arnaud Le Troter, Jean-Philippe Ranjeva, Maxime Guye, Caroline Rey, Jonathan Wirsich, Patrick Asquinazi, Fanelly Pariollaud, Françoise Reuter, Bertrand Audoin, Wafaa Zaaraoui, Sophie Achard, Sylviane Confort-Gouny, Elisabeth Soulier, Jean Pelletier, Lydie Crespy, Audrey Rico, Clemence Boutiere, Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Pôle de Neurosciences Cliniques, Department of Neurology, Hôpital de la Timone [CHU - APHM] (TIMONE), GIPSA - Vision and Brain Signal Processing (GIPSA-VIBS), Département Images et Signal (GIPSA-DIS), Grenoble Images Parole Signal Automatique (GIPSA-lab ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Grenoble Images Parole Signal Automatique (GIPSA-lab ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Clinique Saint Martin [Marseille], Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE)-Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Assistance Publique - Hôpitaux de Marseille (APHM), Neurologie, maladies neuro-musculaires [Hôpital de la Timone - APHM], Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)- Hôpital de la Timone [CHU - APHM] (TIMONE), and Centre d'Exploration Métabolique par Résonance Magnétique [Marseille] (CEMEREM)
Subjects: 0301 basic medicine, Adult, Male, medicine.medical_specialty, Multiple Sclerosis, Modified Ashworth scale, medicine.medical_treatment, resting state fMRI, 03 medical and health sciences, 0302 clinical medicine, Physical medicine and rehabilitation, Outcome Assessment, Health Care, crmbm, medicine, Connectome, Humans, Spasticity, Theta Rhythm, Balance (ability), primary motor cortex, medicine.diagnostic_test, Resting state fMRI, Motor Cortex, spasticity, Middle Aged, Magnetic Resonance Imaging, Transcranial Magnetic Stimulation, Transcranial magnetic stimulation, 030104 developmental biology, medicine.anatomical_structure, Neurology, Muscle Spasticity, connectivity, Female, [SDV.IB]Life Sciences [q-bio]/Bioengineering, Neurology (clinical), Primary motor cortex, medicine.symptom, Functional magnetic resonance imaging, Psychology, intermittent theta burst stimulation, 030217 neurology & neurosurgery, Motor cortex
Abstract: Background: Intermittent theta burst stimulation (iTBS) of the primary motor cortex improves transiently lower limbs spasticity in multiple sclerosis (MS). However, the cerebral mechanisms underlying this effect have never been investigated. Objective: To assess whether modulation of spasticity induced by iTBS is underlined by functional reorganization of the primary motor cortices. Methods: A total of 17 patients with MS suffering from lower limbs spasticity were randomized to receive real iTBS or sham iTBS during the first half of a 5-week indoor rehabilitation programme. Spasticity was assessed using the Modified Ashworth Scale and the Visual Analogue Scale at baseline, after the stimulation session and at the end of the rehabilitation programme. Resting-state functional magnetic resonance imaging (fMRI) was performed at the three time points, and brain functional networks topology was analysed using graph-theoretical approach. Results: At the end of stimulation, improvement of spasticity was greater in real iTBS group than in sham iTBS group ( p = 0.026). iTBS had a significant effect on the balance of the connectivity degree between the stimulated and the homologous primary motor cortex ( p = 0.005). Changes in inter-hemispheric balance were correlated with improvement of spasticity (rho = 0.56, p = 0.015). Conclusion: This longitudinal resting-state fMRI study evidences that functional reorganization of the primary motor cortices may underlie the effect of iTBS on spasticity in MS.
Published: 2017

39. Brain sodium MRI in human epilepsy: Disturbances of ionic homeostasis reflect the organization of pathological regions

Author: Maxime Guye, Lothar R. Schad, Jean-Philippe Ranjeva, Wafaa Zaaraoui, Angela Marchi, Fabrice Bartolomei, Sylviane Confort-Gouny, Jonathan Wirsich, Elisabeth Soulier, Ben Ridley, Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Institut de Neurosciences des Systèmes (INS), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), and Assistance Publique - Hôpitaux de Marseille (APHM)
Subjects: Adult, Male, Pathology, medicine.medical_specialty, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Cognitive Neuroscience, Ionic imaging, lcsh:RC321-571, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Epilepsy, Young Adult, 0302 clinical medicine, Cerebrospinal fluid, Epilepsy surgery, crmbm, Sodium MRI, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, medicine, Homeostasis, Humans, Ictal, snc, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, Electrocorticography, Cerebral Cortex, Cortical localisation, Intracranial EEG, medicine.diagnostic_test, Sodium, Magnetic resonance imaging, Middle Aged, medicine.disease, Magnetic Resonance Imaging, medicine.anatomical_structure, Neurology, Cerebral cortex, Female, Protons, Psychology, 030217 neurology & neurosurgery
Abstract: International audience; In light of technical advancements supporting exploration of MR signals other than (1)H, sodium ((23)Na) has received attention as a marker of ionic homeostasis and cell viability. Here, we evaluate for the first time the possibility that (23)Na-MRI is sensitive to pathological processes occurring in human epilepsy. A normative sample of 27 controls was used to normalize regions of interest (ROIs) from 1424 unique brain locales on quantitative (23)Na-MRI and high-resolution (1)H-MPRAGE images. ROIs were based on intracerebral electrodes in ten patients undergoing epileptic network mapping. The stereo-EEG gold standard was used to define regions as belonging to primarily epileptogenic, secondarily irritative and to non-involved regions. Estimates of total sodium concentration (TSC) on (23)Na-MRI and cerebrospinal fluid (CSF) on (1)H imaging were extracted for each patient ROI, and normalized against the same region in controls. ROIs with disproportionate CSF contributions (ZCSF≥1.96) were excluded. TSC levels were found to be elevated in patients relative to controls except in one patient, who suffered non-convulsive seizures during the scan, in whom we found reduced TSC levels. In the remaining patients, an ANOVA (F1100= 12.37, p\textless0.0001) revealed a highly significant effect of clinically-defined zones (F1100= 11.13, p\textless0.0001), with higher normalized TSC in the epileptogenic zone relative to both secondarily irritative (F1100= 11, p=0.0009) and non-involved regions (F1100= 17.8, p\textless0.0001). We provide the first non-invasive, in vivo evidence of a chronic TSC elevation alongside ZCSF levels within the normative range, associated with the epileptogenic region even during the interictal period in human epilepsy, and the possibility of reduced TSC levels due to seizure. In line with modified homeostatic mechanisms in epilepsy - including altered mechanisms underlying ionic gating, clearance and exchange - we provide the first indication of (23)Na-MRI as an assay of altered sodium concentrations occurring in epilepsy associated with the organization of clinically relevant divisions of pathological cortex.
Published: 2017

40. Free water elimination improves test-retest reproducibility of diffusion tensor imaging indices in the brain: A longitudinal multisite study of healthy elderly subjects

Author: Pierre Payoux, Mira Didic, Régis Bordet, Manos Constantinidis, Stéphanie Bombois, Beatriz Bosch, Helene Gros-Dagnac, Magda Tsolaki, Roberto Tarducci, Moira Marizzoni, Marco Aiello, Agnese Picco, Ludovico Minati, Camillo Marra, Antonio Ferretti, Bernhard W. Müller, Carlo Cavaliere, Luca Roccatagliata, Massimo Caulo, Julien Sein, Ofer Pasternak, Andrea Soricelli, Angela Albi, Antonios Drevelegas, Jorge Jovicich, Núria Bargalló, Olivier Blin, Flavio Nobili, Jean-Philippe Ranjeva, Giada Zoccatelli, Renaud Lopes, Alberto Beltramello, David Bartrés-Faz, Ute Fiedler, Lucilla Parnetti, Jens Wiltfang, Giovanni B. Frisoni, Piero Floridi, Franco Alessandrini, Paolo Maria Rossini, University of Trento [Trento], IRCCS Fatebenefratelli - Brescia, Departament de Psiquiatria i Psicobiologia Clinica, Universitat de Barcelona (UB), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Casa di Cura SAN RAFFAELE Cassino e IRCCS SAN RAFFAELE PISANA, Clinical Neurology, Università Campus Bio-Medico di Roma / University Campus Bio-Medico of Rome ( UCBM), Catholic University, Universität Duisburg-Essen [Essen], Magnetic Resonance Research Centre on Nervous System Diseases [Genova], Universita degli studi di Genova, Department of Health Sciences, University of Genoa, University of Genoa (UNIGE), Institut de Neurosciences de la Timone (INT), Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Institut de la Mémoire et de la Maladie d'Alzheimer [Paris] (IM2A), Université Pierre et Marie Curie - Paris 6 (UPMC), Centre de recherche Jean-Pierre Aubert-Neurosciences et Cancer, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille, Droit et Santé, Jet Propulsion Laboratory (JPL), NASA-California Institute of Technology (CALTECH), Troubles cognitifs dégénératifs et vasculaires (U1171), INSERM-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Université de Lille, Imagerie cérébrale et handicaps neurologiques, Institut des sciences du cerveau de Toulouse. (ISCT), Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-CHU Toulouse [Toulouse]-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-CHU Toulouse [Toulouse]-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Department of Nuclear Medicine, National Institute of Neurosurgery, University Hospital of Verona, Service of Neuroradiology [borgo trento], Ospedale Maggiore, Università degli studi 'G. d'Annunzio' Chieti-Pescara [Chieti-Pescara] (Ud'A), SDN - Istituto di Ricerca Diagnostica e Nucleare, Department of Medicine [Perugia, Italy], Università degli Studi di Perugia (UNIPG), Perugia General Hospital, 3rd Department of Neurology, Aristotle University of Thessaloniki-G. Papanikolaou Hospital, Metacohorts Consortium, Interbalkan Medical Center of Thessaloniki, Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer - U1172 Inserm - U837 (JPArc), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Lille Nord de France (COMUE)-Université de Lille, Troubles cognitifs dégénératifs et vasculaires - U 1171 (TCDV), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Imagerie cérébrale et handicaps neurologiques (ICHN), Aristotle University of Thessaloniki-General Hospital of Thessaloniki George Papanikolaou, Università cattolica del Sacro Cuore = Catholic University of the Sacred Heart [Roma] (Unicatt), Universität Duisburg-Essen = University of Duisburg-Essen [Essen], Università degli studi di Genova = University of Genoa (UniGe), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Institut de la Mémoire et de la Maladie d'Alzheimer [CHU Pitié-Salpétriêre] (IM2A), Université Pierre et Marie Curie - Paris 6 (UPMC)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Centre de Recherche Jean-Pierre AUBERT Neurosciences et Cancer - U837 (JPArc), Université Lille Nord de France (COMUE)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille, Troubles cognitifs dégénératifs et vasculaires - U 1171 - EA 1046 (TCDV), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille, Droit et Santé-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), and Università degli Studi di Perugia = University of Perugia (UNIPG)
Subjects: Male, False discovery rate, Aging, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Medizin, Imaging, 030218 nuclear medicine & medical imaging, spatial statistics, ddc:616.89, 0302 clinical medicine, Nuclear Medicine and Imaging, 80 and over, test-retest reproducibility, Medicine, Longitudinal Studies, brain diffusion tensor imaging, alzheimers-disease, Aged, 80 and over, Radiological and Ultrasound Technology, Brain, multisite diffusion MRI, Middle Aged, tracking, White Matter, Healthy Volunteers, free-water imaging, healthy elderly, longitudinal, test–retest reproducibility, Anatomy, Radiology, Nuclear Medicine and Imaging, Neurology, Neurology (clinical), Settore MED/26 - NEUROLOGIA, Diffusion Tensor Imaging, medicine.anatomical_structure, Brain diffusion tensor imaging, Free-water imaging, Healthy elderly, Longitudinal, Multisite diffusion MRI, Test-retest reproducibility, Female, Aged, Anisotropy, Humans, Imaging, Three-Dimensional, Reproducibility of Results, Water, Radiology, MRI, Article, White matter, 03 medical and health sciences, cerebral white-matter, Fractional anisotropy, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Radiology, Nuclear Medicine and imaging, snc, Reproducibility, reliability, business.industry, Sample size determination, substantia-nigra, Three-Dimensional, Free water, Schizophrenia, parkinsons-disease, false discovery rate, business, Nuclear medicine, 030217 neurology & neurosurgery, Diffusion MRI
Abstract: WOS:000390259700002; International audience; Free water elimination (FWE) in brain diffusion MRI has been shown to improve tissue specificity in human white matter characterization both in health and in disease. Relative to the classical diffusion tensor imaging (DTI) model, FWE is also expected to increase sensitivity to microstructural changes in longitudinal studies. However, it is not clear if these two models differ in their test-retest reproducibility. This study compares a bi-tensor model for FWE with DTI by extending a previous longitudinal-reproducibility 3T multisite study (10 sites, 7 different scanner models) of 50 healthy elderly participants (55-80 years old) scanned in two sessions at least 1 week apart. We computed the reproducibility of commonly used DTI metrics (FA: fractional anisotropy, MD: mean diffusivity, RD: radial diffusivity, and AXD: axial diffusivity), derived either using a DTI model or a FWE model. The DTI metrics were evaluated over 48 white-matter regions of the JHU-ICBM-DTI-81 white-matter labels atlas, and reproducibility errors were assessed. We found that relative to the DTI model, FWE significantly reduced reproducibility errors in most areas tested. In particular, for the FA and MD metrics, there was an average reduction of approximately 1% in the reproducibility error. The reproducibility scores did not significantly differ across sites. This study shows that FWE improves sensitivity and is thus promising for clinical applications, with the potential to identify more subtle changes. The increased reproducibility allows for smaller sample size or shorter trials in studies evaluating biomarkers of disease progression or treatment effects. Hum Brain Mapp 38:12-26, 2017. (c) 2016 Wiley Periodicals, Inc.
Published: 2017

41. Simultaneous Intracranial EEG-fMRI Shows Inter-Modality Correlation in Time-Resolved Connectivity Within Normal Areas but Not Within Epileptic Regions

Author: Maxime Guye, David W. Carmichael, Jean-Philippe Ranjeva, Roman Rodionov, Umair J. Chaudhary, Rachel Thornton, Fabrice Bartolomei, Teresa Murta, Gaelle Bettus, Fabrice Wendling, Ben Ridley, Jonathan Wirsich, Louis Lemieux, Andrew W. McEvoy, Serge Vulliemoz, Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Institute of Neurology [London], University College of London [London] (UCL), Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de Neurosciences des Systèmes (INS), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), MRI Unit, National Society for Epilepsy, Department of Health's NIHR Biomedical Research Centres, UK Medical Research Council (MRC) [G0301067], Swiss National Science Foundation [141165, 140332], Jonchère, Laurent, Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), and Institut National de la Santé et de la Recherche Médicale (INSERM)-Aix Marseille Université (AMU)
Subjects: 0301 basic medicine, Male, Electroencephalography/methods, Multimodal Imaging, Epileptogenesis, Magnetic Resonance Imaging/methods, Correlation, Resting-state, Epilepsy, 0302 clinical medicine, Mathematics, Brain Mapping, Connectivity, Radiological and Ultrasound Technology, Functional connectivity, Brain, Electroencephalography, Focal epilepsy, Magnetic Resonance Imaging, Epilepsy/diagnostic imaging/physiopathology, Neurology, Female, [SDV.IB]Life Sciences [q-bio]/Bioengineering, Anatomy, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Adult, 03 medical and health sciences, Young Adult, Seizures, Multimodal imaging, medicine, Humans, Seizures/diagnostic imaging/physiopathology, Radiology, Nuclear Medicine and imaging, Ictal, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, [SDV.IB] Life Sciences [q-bio]/Bioengineering, Resting state fMRI, Nerve Net/diagnostic imaging/physiopathology, medicine.disease, Intracranial eeg, ddc:616.8, Electrophysiology, Dynamic connectivity, Brain/diagnostic imaging/physiopathology, 030104 developmental biology, Neurology (clinical), Nerve Net, Neuroscience, 030217 neurology & neurosurgery
Abstract: For the first time in research in humans, we used simultaneous icEEG-fMRI to examine the link between connectivity in haemodynamic signals during the resting-state (rs) and connectivity derived from electrophysiological activity in terms of the inter-modal connectivity correlation (IMCC). We quantified IMCC in nine patients with drug-resistant epilepsy (i) within brain networks in 'healthy' non-involved cortical zones (NIZ) and (ii) within brain networks involved in generating seizures and interictal spikes (IZ1) or solely spikes (IZ2). Functional connectivity (h 2 ) estimates for 10 min of resting-state data were obtained between each pair of electrodes within each clinical zone for both icEEG and fMRI. A sliding window approach allowed us to quantify the variability over time of h 2 (vh 2) as an indicator of connectivity dynamics. We observe significant positive IMCC for h 2 and vh 2, for multiple bands in the NIZ only, with the strongest effect in the lower icEEG frequencies. Similarly, intra-modal h 2 and vh 2 were found to be differently modified as a function of different epileptic processes: compared to NIZ, [Formula: see text] was higher in IZ1, but lower in IZ2, while [Formula: see text] showed the inverse pattern. This corroborates previous observations of inter-modal connectivity discrepancies in pathological cortices, while providing the first direct invasive and simultaneous comparison in humans. We also studied time-resolved FC variability multimodally for the first time, finding that IZ1 shows both elevated internal [Formula: see text] and less rich dynamical variability, suggesting that its chronic role in epileptogenesis may be linked to greater homogeneity in self-sustaining pathological oscillatory states.
Published: 2017

42. Association between CSF biomarkers, hippocampal volume and cognitive function in patients with amnestic mild cognitive impairment (MCI)

Author: Moira Marizzoni, Lucilla Parnetti, Pierre Payoux, Giovanni B. Frisoni, Claudio Babiloni, Tilman Hensch, José Luis Molinuevo, Pieter Jelle Visser, Jens Wiltfang, Nicola Salvadori, Camillo Marra, Annebet E. Leeuwis, Jill C. Richardson, Rosemary A. Abbott, Yen Ying Lim, Jorge Jovicich, Jean-Philippe Ranjeva, Bernhard W. Müller, Diego Albani, Pradeep J. Nathan, Elena Rolandi, Mira Didic, Magda Tsolaki, Samantha Galluzzi, Peter Schönknecht, Lucia Farotti, Nicola Girtler, Paolo Maria Rossini, Gianluigi Forloni, Olivier Blin, Flavio Nobili, David Bartrés-Faz, Andrea Soricelli, Régis Bordet, J. Pariente, IRCCS Fatebenefratelli - Brescia, San Raffaele Pisana IRCCS, Rome, Italy, Department of Physiology and Pharmacology Sapienza University of Rome, Departament de Psiquiatria i Psicobiologia Clinica, Universitat de Barcelona (UB), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Institut de la Mémoire et de la Maladie d'Alzheimer [Paris] (IM2A), Université Pierre et Marie Curie - Paris 6 (UPMC), Department of Medicine [Perugia, Italy], Università degli Studi di Perugia (UNIPG), University Hospital Leipzig, University of Trento [Trento], Catholic University, Clinical Neurophysiology Service, Dept of Endocrinological and Metabolic Sciences, University of Ge, Centre Mémoire de Ressources et de Recherche [CHU de Toulouse, Hôpital Purpan], Hôpital Purpan [Toulouse], CHU Toulouse [Toulouse]-CHU Toulouse [Toulouse], Department of Nuclear Medicine, National Institute of Neurosurgery, Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Casa di Cura SAN RAFFAELE Cassino e IRCCS SAN RAFFAELE PISANA, Clinical Neurology, Università Campus Bio-Medico di Roma / University Campus Bio-Medico of Rome ( UCBM), SDN - Istituto di Ricerca Diagnostica e Nucleare, 3rd Department of Neurology, Aristotle University of Thessaloniki-General Hospital of Thessaloniki George Papanikolaou, Metacohorts Consortium, Department of Psychiatry and Neuropsychology, University of Maastricht, Universität Duisburg-Essen [Essen], Troubles cognitifs dégénératifs et vasculaires - U 1171 (TCDV), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Institut de Neurosciences de la Timone (INT), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Centre investigation clinique - Unité de pharmacologie clinique et d'évaluations thérapeutiques (CIC-UPCET), Assistance Publique - Hôpitaux de Marseille (APHM), IRCCS San Giovanni, Laboratory of Epidemiology and Neuroimaging, Brescia, Institut de la Mémoire et de la Maladie d'Alzheimer [CHU Pitié-Salpétriêre] (IM2A), Université Pierre et Marie Curie - Paris 6 (UPMC)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Università degli Studi di Perugia = University of Perugia (UNIPG), Università cattolica del Sacro Cuore = Catholic University of the Sacred Heart [Roma] (Unicatt), Centre Mémoire [CHU de Toulouse], Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Universität Duisburg-Essen = University of Duisburg-Essen [Essen], Troubles cognitifs dégénératifs et vasculaires - U 1171 - EA 1046 (TCDV), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille, Droit et Santé-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Aristotle University of Thessaloniki-G. Papanikolaou Hospital, Troubles cognitifs dégénératifs et vasculaires (U1171), INSERM-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Université de Lille, Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), Neurology, and Amsterdam Neuroscience - Neurodegeneration
Subjects: 0301 basic medicine, Male, Aging, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Medizin, Neuropsychological Tests, Hippocampus, ddc:616.89, 0302 clinical medicine, Cerebrospinal fluid, Cognition, Mild cognitive impairment (MCI), Aged, 80 and over, medicine.diagnostic_test, General Neuroscience, Cambridge Neuropsychological Test Automated Battery, Middle Aged, Alzheimer's disease, Magnetic Resonance Imaging, Amyloid, CANTAB, Cognitive assessment, CSF, Hippocampal volume, Mild cognitive impairment, Prodromal, Tau, Neuroscience (all), Neurology (clinical), Developmental Biology, Geriatrics and Gerontology, Settore MED/26 - NEUROLOGIA, Geriatric Depression Scale, Female, Psychology, Elementary cognitive task, Neuroimaging, tau Proteins, 03 medical and health sciences, mental disorders, medicine, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Humans, Cognitive Dysfunction, Effects of sleep deprivation on cognitive performance, Aged, Amyloid beta-Peptides, Magnetic resonance imaging, medicine.disease, Peptide Fragments, 030104 developmental biology, Early Diagnosis, Neuroscience, 030217 neurology & neurosurgery, Biomarkers
Abstract: Few studies have examined the relationship between CSF and structural biomarkers, and cognitive function in MCI. We examined the relationship between cognitive function, hippocampal volume and cerebrospinal fluid (CSF) Aβ42 and tau in 145 patients with MCI. Patients were assessed on cognitive tasks from the Cambridge Neuropsychological Test Automated Battery (CANTAB), the Geriatric Depression Scale and the Functional Activities Questionnaire. Hippocampal volume was measured using magnetic resonance imaging (MRI), and CSF markers of Aβ42, tau and p-tau181 were also measured. Worse performance on a wide range of memory and sustained attention tasks were associated with reduced hippocampal volume, higher CSF tau and p-tau181 and increased tau/Aβ42 ratio. Memory tasks were also associated with lower ability to conduct functional activities of daily living, providing a link between AD biomarkers, memory performance and functional outcome. These results suggest that biomarkers of Aβ and tau are strongly related to cognitive performance as assessed by the CANTAB, and have implications for the early detection and characterization of incipient AD.
Published: 2017

43. Increased total sodium concentration in gray matter better explains cognition than atrophy in MS

Author: Maxime Guye, Fanelly Pariollaud, Soraya Gherib, Audrey Rico, Wafaa Zaaraoui, Bertrand Audoin, Jean-Philippe Ranjeva, Lothar R. Schad, Jean Pelletier, Sylviane Confort-Gouny, Elisabeth Soulier, Adil Maarouf, Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Hôpital Maison Blanche, Centre Hospitalier Universitaire de Reims (CHU Reims), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE)-Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Neurologie, maladies neuro-musculaires [Hôpital de la Timone - APHM], Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)- Hôpital de la Timone [CHU - APHM] (TIMONE), Assistance Publique - Hôpitaux de Marseille (APHM), Centre d'Exploration Métabolique par Résonance Magnétique [Marseille] (CEMEREM), and Hôpital de la Timone [CHU - APHM] (TIMONE)
Subjects: Adult, Male, medicine.medical_specialty, Neuropsychological Tests, Tritium, Gastroenterology, Statistics, Nonparametric, 030218 nuclear medicine & medical imaging, White matter, Disability Evaluation, 03 medical and health sciences, Multiple Sclerosis, Relapsing-Remitting, 0302 clinical medicine, Atrophy, Internal medicine, crmbm, medicine, Humans, Gray Matter, 10. No inequality, Cognitive deficit, Expanded Disability Status Scale, Receiver operating characteristic, medicine.diagnostic_test, Multiple sclerosis, Sodium, Case-control study, Magnetic resonance imaging, Middle Aged, medicine.disease, Magnetic Resonance Imaging, medicine.anatomical_structure, Case-Control Studies, Disease Progression, Female, [SDV.IB]Life Sciences [q-bio]/Bioengineering, Neurology (clinical), medicine.symptom, Cognition Disorders, Psychology, Neuroscience, 030217 neurology & neurosurgery
Abstract: Objective:To investigate whether brain total sodium accumulation assessed by 23Na MRI is associated with cognitive deficit in relapsing-remitting multiple sclerosis (RRMS).Methods:Eighty-nine participants were enrolled in the study (58 patients with RRMS with a disease duration ≤10 years and 31 matched healthy controls). Patients were classified as cognitively impaired if they failed at least 2 tasks on the Brief Repeatable Battery. MRI was performed at 3T using 23Na MRI to obtain total sodium concentration (TSC) in the different brain compartments (lesions, normal-appearing white matter [NAWM], gray matter [GM]) and 1H- magnetization-prepared rapid gradient echo to assess GM atrophy (GM fraction).Results:The mean disease duration was 3.1 years and the median Expanded Disability Status Scale score was 1 (range 0–4.5). Thirty-seven patients were classified as cognitively preserved and 21 as cognitively impaired. TSC was increased in GM and NAWM in cognitively impaired patients compared to cognitively preserved patients and healthy controls. Voxel-wise analysis demonstrated that sodium accumulation was mainly located in the neocortex in cognitively impaired patients. Regression analysis evidenced than the 2 best independent predictors of cognitive impairment were GM TSC and age. Receiver operating characteristic analyses demonstrated that sensitivity and specificity of the GM TSC to classify patients according to their cognitive status were 76% and 71%, respectively.Conclusions:This study provides 2 main findings. (1) In RRMS, total sodium accumulation in the GM is better associated with cognitive impairment than GM atrophy; and (2) total sodium accumulation in patients with cognitive impairment is mainly located in the neocortex.
Published: 2016

44. Depletion of brain functional connectivity enhancement leads to disability progression in multiple sclerosis: A longitudinal resting-state fMRI study

Author: Wafaa Zaaraoui, Sophie Achard, Jean-Philippe Ranjeva, Maxime Guye, Audrey Rico, Jean Pelletier, Arnaud Le Troter, E. Robinet, Anthony Faivre, Sylviane Confort-Gouny, Elisabeth Soulier, Celia Rousseau, Lydie Crespy, Adil Maarouf, Bertrand Audoin, Service Neurologie, Hôpital d'Instruction des Armées-St Anne, Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE)-Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Cognition, Action, et Plasticité Sensorimotrice [Dijon - U1093] (CAPS), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM), Hôpital Maison Blanche, Centre Hospitalier Universitaire de Reims (CHU Reims), Pôle de Neurosciences Cliniques, Department of Neurology, Hôpital de la Timone [CHU - APHM] (TIMONE), Assistance Publique - Hôpitaux de Marseille (APHM), GIPSA - Vision and Brain Signal Processing (GIPSA-VIBS), Département Images et Signal (GIPSA-DIS), Grenoble Images Parole Signal Automatique (GIPSA-lab ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Grenoble Images Parole Signal Automatique (GIPSA-lab ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Neurologie, maladies neuro-musculaires [Hôpital de la Timone - APHM], Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)- Hôpital de la Timone [CHU - APHM] (TIMONE), Centre d'Exploration Métabolique par Résonance Magnétique (CEMEREM), Hôpital de la Timone [CHU - APHM] ( TIMONE ), Centre de résonance magnétique biologique et médicale ( CRMBM ), Aix Marseille Université ( AMU ) -Assistance Publique - Hôpitaux de Marseille ( APHM ) -Centre National de la Recherche Scientifique ( CNRS ), Cognition, Action, et Plasticité Sensorimotrice [Dijon - U1093] ( CAPS ), Université de Bourgogne ( UB ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Centre Hospitalier Universitaire de Reims ( CHU Reims ), Assistance Publique - Hôpitaux de Marseille ( APHM ), CICS ( GIPSA-CICS ), Département Images et Signal ( GIPSA-DIS ), Grenoble Images Parole Signal Automatique ( GIPSA-lab ), Université Pierre Mendès France - Grenoble 2 ( UPMF ) -Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ) -Université Pierre Mendès France - Grenoble 2 ( UPMF ) -Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ) -Grenoble Images Parole Signal Automatique ( GIPSA-lab ), Université Pierre Mendès France - Grenoble 2 ( UPMF ) -Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ) -Université Pierre Mendès France - Grenoble 2 ( UPMF ) -Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ), Aix Marseille Université ( AMU ) -Assistance Publique - Hôpitaux de Marseille ( APHM ) - Hôpital de la Timone [CHU - APHM] ( TIMONE ), and Centre d'Exploration Métabolique par Résonance Magnétique [Marseille] (CEMEREM)
Subjects: Adult, Male, medicine.medical_specialty, Multiple Sclerosis, Severity of Illness Index, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Functional connectivity, 0302 clinical medicine, Physical medicine and rehabilitation, Multiple Sclerosis, Relapsing-Remitting, Severity of illness, crmbm, medicine, Connectome, Humans, Disability progression, Longitudinal Studies, [ SDV.IB ] Life Sciences [q-bio]/Bioengineering, Functional MRI, Disability, Resting state fMRI, medicine.diagnostic_test, Multiple sclerosis, Brain, Magnetic resonance imaging, medicine.disease, Magnetic Resonance Imaging, Graph theory, Neurology, Disease Progression, Female, [SDV.IB]Life Sciences [q-bio]/Bioengineering, Neurology (clinical), Psychology, Functional magnetic resonance imaging, Neuroscience, 030217 neurology & neurosurgery, Follow-Up Studies
Abstract: Background: The compensatory effect of brain functional connectivity enhancement in relapsing-remitting multiple sclerosis (RRMS) remains controversial. Objective: To characterize the relationships between brain functional connectivity changes and disability progression in RRMS. Methods: Long-range connectivity, short-range connectivity, and density of connections were assessed using graph theoretical analysis of resting-state functional magnetic resonance imaging (fMRI) data acquired in 38 RRMS patients (disease duration: 120 ± 32 months) and 24 controls. All subjects were explored at baseline and all patients and six controls 2 years later. Results: At baseline, levels of long-range and short-range brain functional connectivity were higher in patients compared to controls. During the follow-up, decrease in connections’ density was inversely correlated with disability progression. Post-hoc analysis evidenced differential evolution of brain functional connectivity metrics in patients according to their level of disability at baseline: while patients with lowest disability at baseline experienced an increase in all connectivity metrics during the follow-up, patients with higher disability at baseline showed a decrease in the connectivity metrics. In these patients, decrease in the connectivity metrics was associated with disability progression. Conclusion: The study provides two main findings: (1) brain functional connectivity enhancement decreases during the disease course after reaching a maximal level, and (2) decrease in brain functional connectivity enhancement participates in disability progression.
Published: 2016

45. Hypoperfusion of the thalamus is associated with disability in relapsing remitting multiple sclerosis

Author: Guillaume Duhamel, Wafaa Zaaraoui, Emilie Doche, Audrey Rico, Jean-Philippe Ranjeva, Angèle Lecocq, Maxime Guye, Jean Pelletier, Sylviane Confort-Gouny, Elisabeth Soulier, Bertrand Audoin, Adil Maarouf, Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Hôpital Maison Blanche, Centre Hospitalier Universitaire de Reims (CHU Reims), Centre d'Exploration Métabolique par Résonance Magnétique [Marseille] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE), edukem, Neurologie, maladies neuro-musculaires [Hôpital de la Timone - APHM], Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)- Hôpital de la Timone [CHU - APHM] (TIMONE), Assistance Publique - Hôpitaux de Marseille (APHM), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE)-Centre de résonance magnétique biologique et médicale (CRMBM), and Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Adult, Male, Pathology, medicine.medical_specialty, Multiple Sclerosis, Thalamus, Perfusion scanning, Severity of Illness Index, perfusion, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Disability Evaluation, 0302 clinical medicine, Atrophy, Multiple Sclerosis, Relapsing-Remitting, crmbm, medicine, Humans, Radiology, Nuclear Medicine and imaging, Gray Matter, 10. No inequality, Disability, Radiological and Ultrasound Technology, business.industry, Arterial Spin Labeling Magnetic Resonance Imaging, Multiple sclerosis, Brain, medicine.disease, Magnetic Resonance Imaging, Relapsing remitting, Cerebral blood flow, Female, Spin Labels, [SDV.IB]Life Sciences [q-bio]/Bioengineering, Neurology (clinical), business, Perfusion, Pseudo-continuous arterial spin labeling, 030217 neurology & neurosurgery
Abstract: International audience; BACKGROUND: While gray matter (GM) perfusion abnormalities have been evidenced in multiple sclerosis (MS) patients, the relationships with disability still remain unclear. Considering that atrophy is known to impact on perfusion, we aimed to assess perfusion abnormalities in GM of MS patients, outside atrophic regions and investigate relationships with disability. METHODS: Brain perfusion of 23 relapsing remitting MS patients and 16 matched healthy subjects were assessed at 3T using the pseudo-continuous arterial spin labeling magnetic resonance imaging technique. In order to locate potential GM perfusion abnormalities in regions spared by atrophy, we combined voxelwise comparisons of GM cerebral blood flow (CBF) maps (cortex and deep GM) (P\textless0.005, FWE-corrected) and voxel-based-morphometry analysis (P\textless0.005, FDR-corrected) to exclude atrophic regions. Disability was assessed using the Expanded Disability Status Scale (EDSS) and the Multiple Sclerosis Functional Composite score (MSFC). RESULTS: In patients, significant GM hypoperfusion outside atrophic regions was depicted only in bilateral thalami. No other cluster was found to be hypoperfused compared to controls. Perfusion of thalami was correlated to MSFC (P=0.011, rho=0.523). A trend of correlation was found between perfusion of thalami and EDSS (P=0.061, rho=-0.396). CONCLUSION: In relapsing remitting MS, perfusion abnormalities in thalamic regions contribute to disability. These findings suggest that functional impairments of thalami, representing a major brain hub, may disturb various cerebral functions even before structural damage.
Published: 2016

46. High-resolution multi-parametric quantitative magnetic resonance imaging of the human cervical spinal cord at 7T

Author: Pierre Besson, Virginie Callot, Aurélien Massire, Jean-Philippe Ranjeva, Maxime Guye, Manuel Taso, Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE)-Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Marseille] (CEMEREM), and Hôpital de la Timone [CHU - APHM] (TIMONE)
Subjects: Adult, Male, Relaxometry, Cord, Cognitive Neuroscience, Quantitative magnetic resonance imaging, Ultra-high field, High resolution, Imaging phantom, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Young Adult, 0302 clinical medicine, Image Interpretation, Computer-Assisted, crmbm, Medicine, Humans, Relaxometry mapping, Multi parametric, business.industry, Cervical Cord, Anatomy, Quantitative MRI, Spinal cord, diffusion tensor imaging, Magnetic Resonance Imaging, Template-based segmentation, 3. Good health, medicine.anatomical_structure, Neurology, Spinal Cord, Female, [SDV.IB]Life Sciences [q-bio]/Bioengineering, business, 030217 neurology & neurosurgery, Biomedical engineering, Diffusion MRI
Abstract: International audience; Quantitative MRI techniques have the potential to characterize spinal cord tissue impairments occurring in various pathologies, from both microstructural and functional perspectives. By enabling very high image resolution and enhanced tissue contrast, ultra-high field imaging may offer further opportunities for such characterization. In this study, a multi-parametric high-resolution quantitative MRI protocol is proposed to characterize in vivo the human cervical spinal cord at 7T. Multi-parametric quantitative MRI acquizitions including T1, T2(*) relaxometry mapping and axial diffusion MRI were performed on ten healthy volunteers with a whole-body 7T system using a commercial prototype coil-array dedicated to cervical spinal cord imaging. Automatic cord segmentation and multi-parametric data registration to spinal cord templates enabled robust regional studies within atlas-based WM tracts and GM horns at the C3 cervical level. T1 value, cross-sectional area and GM/WM ratio evolutions along the cervical cord were also reported. An original correction method for B1(+)-biased T1 mapping sequence was additionally proposed and validated on phantom. As a result, relaxometry and diffusion parameters derived from high-resolution quantitative MRI acquizitions were reported at 7T for the first time. Obtained images, with unmatched resolutions compared to lower field investigations, provided exquisite anatomical details and clear delineation of the spinal cord substructures within an acquisition time of 30min, compatible with clinical investigations. Regional statistically significant differences were highlighted between WM and GM based on T1 and T2* maps (p\textless10(-3)), as well as between sensory and motor tracts based on diffusion tensor imaging maps (p\textless0.05). The proposed protocol demonstrates that ultra-high field spinal cord high-resolution quantitative MRI is feasible and lays the groundwork for future clinical investigations of degenerative spinal cord pathologies.
Published: 2016

47. P2‐263: Association between Brain MRI Diffusion Alterations and CSF Biomarkers in Amnestic MCI

Author: Jean-Philippe Ranjeva, Lorenzo Pini, David Bartrés-Faz, Flavio Nobili, Moira Marizzoni, Jorge Jovicich, and Michela Pievani
Subjects: 0301 basic medicine, Pathology, medicine.medical_specialty, Epidemiology, business.industry, Health Policy, 03 medical and health sciences, Psychiatry and Mental health, Cellular and Molecular Neuroscience, 030104 developmental biology, 0302 clinical medicine, Developmental Neuroscience, Csf biomarkers, Brain mri, medicine, Neurology (clinical), Geriatrics and Gerontology, Diffusion (business), business, 030217 neurology & neurosurgery
Published: 2016

48. P2‐302: CSF Beta‐Amyloid‐ and APOE Ɛ4‐Related Decline in Episodic Memory Over 12 Months Measured using the Cantab in Individuals with Amnestic MCI: Results from the European ADNI Study

Author: Pieter Jelle Visser, Lucia Farotti, Lucilla Parnetti, Claudio Babiloni, Peter Schönknecht, David Bartrés-Faz, Camillo Marra, Samantha Galluzzi, Gianluigi Forloni, Tilman Hensch, Yen Ying Lim, Jérémie Pariente, José Luis Molinuevo, Mira Didic, Régis Bordet, Magda Tsolaki, Andrea Soricelli, Olivier Blin, Cristina Bagnoli, Jean-Philippe Ranjeva, Moira Marizzoni, Flavio Nobili, Jens Wiltfang, Rosemary A. Abbott, Pradeep J. Nathan, Jorge Jovicich, Giovanni B. Frisoni, Paolo Maria Rossini, and Pierre Payoux
Subjects: medicine.medical_specialty, Amyloid, Epidemiology, business.industry, Health Policy, Developmental psychology, 03 medical and health sciences, Psychiatry and Mental health, Cellular and Molecular Neuroscience, 0302 clinical medicine, Endocrinology, Developmental Neuroscience, Internal medicine, Medicine, 030212 general & internal medicine, Neurology (clinical), Geriatrics and Gerontology, business, Beta (finance), Episodic memory, 030217 neurology & neurosurgery
Published: 2016

49. IC‐P‐039: Impairment of Resting‐State Functional Connectivity in The Default‐Mode Network Closely Tracks CSF Biomarkers In MCI

Author: David Bartrés-Faz, Diego Albani, Olivier Blin, Peter Schönknech, Pierre Payoux, Ludovico Minati, Jean-Philippe Ranjeva, Pieter Jelle Visser, Clarisa Ferrari, Jorge Jovicich, Régis Bordet, Lucilla Parnetti, Magda Tsolaki, Moira Marizzoni, Andrea Soricelli, Massimo Caulo, Gianluigi Forloni, Giovanni B. Frisoni, Paolo Maria Rossini, Flavio Nobili, and Alberto Beltramello
Subjects: 0301 basic medicine, Resting state fMRI, Epidemiology, business.industry, Health Policy, Functional connectivity, 03 medical and health sciences, Psychiatry and Mental health, Cellular and Molecular Neuroscience, 030104 developmental biology, 0302 clinical medicine, Developmental Neuroscience, Csf biomarkers, Medicine, Neurology (clinical), Geriatrics and Gerontology, business, Neuroscience, 030217 neurology & neurosurgery, Default mode network
Published: 2016

50. P3‐315: Differential Effects of Apoe and CSF Amyloid on Memory Impairment in Individuals with Amnestic MCI Using the Cantab Cognitive Battery: Results from the European‐Adni Study

Author: Olivier Blin, Samantha Galluzzi, Lucia Farotti, Yen Ying Lim, Jorge Jovicich, Jean-Philippe Ranjeva, Régis Bordet, Giovanni B. Frisoni, Rosemary A. Abbott, Jérémie Pariente, Pradeep J. Nathan, Peter Schönknecht, Magda Tsolaki, Jens Wiltgang, Lucilla Parnetti, Andrea Soricelli, Paolo Maria Rossini, Flavio Nobili, Camillo Marra, Gianluigi Forlini, Pierre Payoux, Pieter Jelle Visser, David Bartes-Faz, Cristina Bagnoli, Tilman Hensch, José Luis Molinuevo, and Moira Marizzoni
Subjects: 0301 basic medicine, Apolipoprotein E, Battery (electricity), Amyloid, Epidemiology, business.industry, Health Policy, Cognition, Differential effects, 03 medical and health sciences, Psychiatry and Mental health, Cellular and Molecular Neuroscience, 030104 developmental biology, 0302 clinical medicine, Developmental Neuroscience, Memory impairment, Medicine, Neurology (clinical), Geriatrics and Gerontology, business, Neuroscience, 030217 neurology & neurosurgery
Published: 2016

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