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4 results on '"Mira Didic"'

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

Author

Diego Lombardo, Catherine Cassé-Perrot, Jean-Philippe Ranjeva, Arnaud Le Troter, Maxime Guye, Jonathan Wirsich, Pierre Payoux, David Bartrés-Faz, Régis Bordet, Jill C. Richardson, Olivier Felician, Viktor Jirsa, Olivier Blin, Mira Didic, and Demian Battaglia

Subjects
Dynamic functional connectivity, Resting-state, fMRI, Sleep deprivation, Cognitive decline, Cognitive challenge model, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
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 sub-networks 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.

Published
2020
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2. Amygdalar nuclei and hippocampal subfields on MRI: Test-retest reliability of automated volumetry across different MRI sites and vendors

Author

Giulia Quattrini, Michela Pievani, Jorge Jovicich, Marco Aiello, Núria Bargalló, Frederik Barkhof, David Bartres-Faz, Alberto Beltramello, Francesca B. Pizzini, Olivier Blin, Regis Bordet, Massimo Caulo, Manos Constantinides, Mira Didic, Antonios Drevelegas, Antonio Ferretti, Ute Fiedler, Piero Floridi, Hélène Gros-Dagnac, Tilman Hensch, Karl-Titus Hoffmann, Joost P. Kuijer, Renaud Lopes, Camillo Marra, Bernhard W. Müller, Flavio Nobili, Lucilla Parnetti, Pierre Payoux, Agnese Picco, Jean-Philippe Ranjeva, Luca Roccatagliata, Paolo M. Rossini, Marco Salvatore, Peter Schonknecht, Björn H. Schott, Julien Sein, Andrea Soricelli, Roberto Tarducci, Magda Tsolaki, Pieter J. Visser, Jens Wiltfang, Jill C. Richardson, Giovanni B. Frisoni, and Moira Marizzoni

Subjects
Amygdalar nuclei, Hippocampal subfields, Multicenter MRI study, FreeSurfer, Reliability analysis, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
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 (ε) 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
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3. 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

4. Basal functional connectivity within the anterior temporal network is associated with performance on declarative memory tasks

Author

Jean-Philippe Ranjeva, Maxime Guye, Olivier Felician, Mira Didic, Mathieu Ceccaldi, Emmanuel J. Barbeau, Sylviane Confort-Gouny, Elisabeth Soulier, Natalina Gour, 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), 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), Centre de recherche cerveau et cognition (CERCO), 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)-Centre National de la Recherche Scientifique (CNRS), 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), and 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)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Male, Cognitive Neuroscience, Neuropsychological Tests, Temporal lobe, Resting-state, Executive Function, 03 medical and health sciences, Superior temporal gyrus, 0302 clinical medicine, Alzheimer Disease, Memory, Neural Pathways, Image Processing, Computer-Assisted, medicine, Humans, Semantic memory, Cognitive Dysfunction, Default mode network, Functional MRI, Aged, 030304 developmental biology, Temporal cortex, Memory Disorders, Principal Component Analysis, 0303 health sciences, Resting state fMRI, medicine.diagnostic_test, Mild cognitive impairment, Alzheimer's disease, Entorhinal cortex, Magnetic Resonance Imaging, Temporal Lobe, Neurology, Data Interpretation, Statistical, Visual Perception, Educational Status, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Female, Nerve Net, Psychology, Functional magnetic resonance imaging, Neuroscience, Psychomotor Performance, 030217 neurology & neurosurgery, Cognitive psychology
Abstract

International audience; Spontaneous fluctuations in the blood oxygenation level-dependent (BOLD) signal, as measured by functional magnetic resonance imaging (fMRI) at rest, exhibit a temporally coherent activity thought to reflect functionally relevant networks. Antero-mesial temporal structures are the site of early pathological changes in Alzheimer's disease and have been shown to be critical for declarative memory. Our study aimed at exploring the functional impact of basal connectivity of an anterior temporal network (ATN) on declarative memory. A heterogeneous group of subjects with varying performance on tasks assessing memory was therefore selected, including healthy subjects and patients with isolated memory complaint, amnestic Mild Cognitive Impairment (aMCI) and mild Alzheimer's disease (AD). Using Independent Component Analysis on resting-state fMRI, we extracted a relevant anterior temporal network (ATN) composed of the perirhinal and entorhinal cortex, the hippocampal head, the amygdala and the lateral temporal cortex extending to the temporal pole. A default mode network and an executive-control network were also selected to serve as control networks. We first compared basal functional connectivity of the ATN between patients and control subjects. Relative to controls, patients exhibited significantly increased functional connectivity in the ATN during rest. Specifically, voxel-based analysis revealed an increase within the inferior and superior temporal gyrus and the uncus. In the patient group, positive correlations between averaged connectivity values of ATN and performance on anterograde and retrograde object-based memory tasks were observed, while no correlation was found with other evaluated cognitive measures. These correlations were specific to the ATN, as no correlation between performance on memory tasks and the other selected networks was found. Taken together, these findings provide evidence that basal connectivity inside the ATN network has a functional role in object-related, context-free memory. They also suggest that increased connectivity at rest within the ATN could reflect compensatory mechanisms that occur in response to early pathological insult.

Published
2011

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