Search

Your search keyword '"Anthony, Boyer"' showing total 8 results
Start Over Author "Anthony, Boyer" Topic business
8 results on '"Anthony, Boyer"'

1. Axono-cortical evoked potentials as a new method of IONM for preserving the motor control network: a first study in three cases

Author

Antoni Valero-Cabré, Demian Wasserman, Mélissa Dali, Chloé Stengel, Emmanuel Mandonnet, François Rheault, Anthony Boyer, and François Bonnetblanc

Subjects
Supplementary motor area, business.industry, Motor control, Precentral gyrus, Frontal gyrus, 030218 nuclear medicine & medical imaging, White matter, Premotor cortex, 03 medical and health sciences, Electrophysiology, 0302 clinical medicine, medicine.anatomical_structure, Premovement neuronal activity, Medicine, Surgery, Neurology (clinical), business, Neuroscience, 030217 neurology & neurosurgery
Abstract

White matter stimulation in an awake patient is currently the gold standard for identification of functional pathways. Despite the robustness and reproducibility of this method, very little is known about the electrophysiological mechanisms underlying the functional disruption. Axono-cortical evoked potentials (ACEPs) provide a reliable technique to explore these mechanisms. To describe the shape and spatial patterns of ACEPs recorded when stimulating the white matter of the caudal part of the right superior frontal gyrus while recording in the precentral gyrus. We report on three patients operated on under awake condition for a right superior frontal diffuse low-grade glioma. Functional sites were identified in the posterior wall of the cavity, whose 2–3-mA stimulation generated an arrest of movement. Once the resection was done, axono-cortical potentials were evoked: recording electrodes were put over the precentral gyrus, while stimulating at 1 Hz the white matter functional sites during 30–60 s. Unitary evoked potentials were averaged off-line. Waveform was visually analyzed, defining peaks and troughs, with quantitative measurements of their amplitudes and latencies. Spatial patterns of ACEPs were compared with patients’ own and HCP-derived structural connectomics. Axono-cortical evoked potentials (ACEPs) were obtained and exhibited complex shapes and spatial patterns that correlated only partially with structural connectivity patterns. ACEPs is a new IONM methodology that could both contribute to elucidate the propagation of neuronal activity within a distributed network when stimulating white matter and provide a new technique for preserving motor control abilities during brain tumor resections.

Published
2020

2. Patterns of axono-cortical evoked potentials: an electrophysiological signature unique to each white matter functional site?

Author

Chloé Stengel, Antoni Valero-Cabré, Maxime Descoteaux, Emmanuel Mandonnet, Anthony Boyer, François Bonnetblanc, Mélissa Dali, François Rheault, Hugues Duffau, David Guiraud, Institut National de la Santé et de la Recherche Médicale (INSERM), Hôpital Lariboisière-Fernand-Widal [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Contrôle Artificiel de Mouvements et de Neuroprothèses Intuitives (CAMIN), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), FRONTLAB: Fonctions et dysfonctions de systèmes frontaux [ICM Paris] (FRONTlab), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Hôpital Gui de Chauliac [CHU Montpellier], Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Sherbrooke Connectivity Imaging Lab [Sherbrooke] (SCIL), Département d'informatique [Sherbrooke] (UdeS), Faculté des sciences [Sherbrooke] (UdeS), Université de Sherbrooke (UdeS)-Université de Sherbrooke (UdeS)-Faculté des sciences [Sherbrooke] (UdeS), Université de Sherbrooke (UdeS)-Université de Sherbrooke (UdeS), FRONTlab - Systèmes frontaux : fonctions et dysfonctions (FRONTlab), Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-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 National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-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 National de la Recherche Scientifique (CNRS), Hôpital Gui de Chauliac, and Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)

Subjects
medicine.medical_specialty, Neurology, business.industry, [SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, Tumor resection, Precentral gyrus, Inferior frontal gyrus, Stimulation, Brain mapping, 030218 nuclear medicine & medical imaging, [SPI.AUTO]Engineering Sciences [physics]/Automatic, White matter, 03 medical and health sciences, Electrophysiology, [SCCO]Cognitive science, 0302 clinical medicine, medicine.anatomical_structure, medicine, [SDV.MHEP.PHY]Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO], Surgery, Neurology (clinical), business, Neuroscience, 030217 neurology & neurosurgery, ComputingMilieux_MISCELLANEOUS
Abstract

International audience; BackgroundBrain-to-brain evoked potentials constitute a new methodology that could help to understand the network-level correlates of electrical stimulation applied for brain mapping during tumor resection. In this paper, we aimed to describe the characteristics of axono-cortical evoked potentials recorded from distinct, but in the same patient, behaviorally eloquent white matter sites.MethodsWe report the intraoperative white matter mapping and axono-cortical evoked potentials recordings observed in a patient operated on under awake condition of a diffuse low-grade glioma in the left middle frontal gyrus. Out of the eight behaviorally eloquent sites identified with 60-Hz electrical stimulation, five were probed with single electrical pulses (delivered at 1 Hz), while recording evoked potentials on two electrodes, covering the inferior frontal gyrus and the precentral gyrus, respectively. Postoperative diffusion-weighted MRI was used to reconstruct the tractograms passing through each of the five stimulated sites.ResultsEach stimulated site generated an ACEP on at least one of the recorded electrode contacts. The whole pattern—i.e., the specific contacts with ACEPs and their waveform—was distinct for each of the five stimulated sites.ConclusionsWe found that the patterns of ACEPs provided unique electrophysiological signatures for each of the five white matter functional sites. Our results could ultimately provide neurosurgeons with a new tool of intraoperative electrophysiologically based functional guidance.

Published
2021

3. Electrophysiological Mapping During Brain Tumor Surgery: Recording Cortical Potentials Evoked Locally, Subcortically and Remotely by Electrical Stimulation to Assess the Brain Connectivity On-line

Author

David Guiraud, Anthony Boyer, Sofiane Ramdani, Emmanuel Mandonnet, Marion Vincent, Mélissa Dali, François Bonnetblanc, Hugues Duffau, Contrôle Artificiel de Mouvements et de Neuroprothèses Intuitives (CAMIN), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Interactive Digital Humans (IDH), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Institut des Neurosciences de Montpellier - Déficits sensoriels et moteurs (INM), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Hôpital Lariboisière-Fernand-Widal [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Institut des Neurosciences de Montpellier (INM), and Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)

Subjects
medicine.medical_specialty, Neurology, [SDV]Life Sciences [q-bio], Stimulation, 050105 experimental psychology, Temporal lobe, Premotor cortex, White matter, 03 medical and health sciences, 0302 clinical medicine, medicine, 0501 psychology and cognitive sciences, Radiology, Nuclear Medicine and imaging, Electrocorticography, Radiological and Ultrasound Technology, medicine.diagnostic_test, business.industry, 05 social sciences, Line (electrical engineering), Electrophysiology, medicine.anatomical_structure, Neurology (clinical), Anatomy, business, Neuroscience, 030217 neurology & neurosurgery
Abstract

International audience; Direct electrical stimulation (DES) is used to perform functional brain mapping during awake surgery and in epileptic patients. DES may be coupled with the measurement of Evoked Potentials (EP) to study the conductive and integrative properties of activated neural ensembles and probe the spatiotemporal dynamics of short- and long-range networks. However, its electrophysiological effects remain by far unknown. We recorded ECoG signals on two patients undergoing awake brain surgery and measured EP on functional sites after cortical stimulations and were the firsts to record three different types of EP on the same patients. Using low-intensity (1–3 mA) to evoke electrogenesis we observed that: (i) “true” remote EPs are attenuated in amplitude and delayed in time due to the divergence of white matter pathways; (ii) “false” remote EPs are attenuated but not delayed: as they originate from the same electrical source; (iii) Singular but reproducible positive components in the EP can be generated when the DES is applied in the temporal lobe or the premotor cortex; and (iv) rare EP can be triggered when the DES is applied subcortically: these can be either negative, or surprisingly, positive. We proposed different activation and electrophysiological propagation mechanisms following DES, based on the nature of activated neural elements and discussed important methodological pitfalls when measuring EP in the brain. Altogether, these results pave the way to map the connectivity in real-time between the DES and the recording sites; to characterize the local electrophysiological states and to link electrophysiology and function. In the future, and in practice, this technique could be used to perform electrophysiological mapping in order to link (non)-functional to electrophysiological responses with DES and could be used to guide the surgical act itself.

Published
2021

4. Parametric recurrence quantification analysis of autoregressive processes for pattern recognition in multichannel electroencephalographic data

Author

Stéphane Caron, Anthony Boyer, Frédéric Bouchara, François Bonnetblanc, Hugues Duffau, Annick Lesne, Sofiane Ramdani, Interactive Digital Humans (IDH), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Contrôle Artificiel de Mouvements et de Neuroprothèses Intuitives (CAMIN), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Cognition, Action, et Plasticité Sensorimotrice [Dijon - U1093] (CAPS), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire d'Informatique et Systèmes (LIS), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), Institut des Neurosciences de Montpellier (INM), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Laboratoire de Physique Théorique de la Matière Condensée (LPTMC), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut de Génétique Moléculaire de Montpellier (IGMM), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), This research was supported by the LabEx NUMEV project (ANR-10-LABX-20) funded by the French government’s 'Investisse- ments d’Avenir' program managed by the French National Re- search Agency (ANR), grants from the Institut Universitaire de France, and INSERM laboratory (U1093)., ANR-10-LABX-0020,NUMEV,Digital and Hardware Solutions and Modeling for the Environement and Life Sciences(2010), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Institut des Neurosciences de Montpellier - Déficits sensoriels et moteurs (INM), Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU), and Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)

Subjects
[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC], Computer science, Recurrence quantification analysis, Physics::Medical Physics, [MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS], 02 engineering and technology, 01 natural sciences, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Artificial Intelligence, 0103 physical sciences, Recurrence plots, 0202 electrical engineering, electronic engineering, information engineering, EEG Data, Asymptotic recurrence measures, [NLIN]Nonlinear Sciences [physics], [PHYS.COND.CM-SM]Physics [physics]/Condensed Matter [cond-mat]/Statistical Mechanics [cond-mat.stat-mech], 010306 general physics, Recurrence plot, Autoregressive stochastic processes, Parametric statistics, Series (mathematics), business.industry, Stochastic process, [SCCO.NEUR]Cognitive science/Neuroscience, Pattern recognition, Function (mathematics), Autoregressive model, Signal Processing, Pattern recognition (psychology), 020201 artificial intelligence & image processing, Computer Vision and Pattern Recognition, Artificial intelligence, business, Multichannel data, Software
Abstract

accepted 2020-08-04; International audience; Recurrence quantification analysis (RQA) is an acknowledged method for the characterization of experimental time series. We propose a parametric version of RQA, pRQA, allowing a fast processing of spatial arrays of time series, once each is modeled by an autoregressive stochastic process. This method relies on the analytical derivation of asymptotic expressions for five current RQA measures as a function of the model parameters. By avoiding the construction of the recurrence plot of the time series, pRQA is computationally efficient. As a proof of principle, we apply pRQA to pattern recognition in multichannel electroencephalographic (EEG) data from a patient with a brain tumor.

Published
2021

5. Measuring the electrophysiological effects of direct electrical stimulation after awake brain surgery

Author

Hugues Duffau, David Guiraud, Emmanuel Mandonnet, Anthony Boyer, Marion Vincent, François Bonnetblanc, Control of Artificial Movement and Intuitive Neuroprosthesis (CAMIN), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Hôpital Lariboisière, Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpital Lariboisière-Université Paris Diderot - Paris 7 (UPD7), Hôpital Gui de Chauliac, Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Contrôle Artificiel de Mouvements et de Neuroprothèses Intuitives (CAMIN), Inria Sophia Antipolis - Méditerranée (CRISAM), Hôpital Lariboisière-Fernand-Widal [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Hôpital Gui de Chauliac [CHU Montpellier], and Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)

Subjects
[SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, 0206 medical engineering, Tumor resection, Biomedical Engineering, Action Potentials, Stimulation, 02 engineering and technology, Brain mapping, Neurosurgical Procedures, [SPI.AUTO]Engineering Sciences [physics]/Automatic, White matter, Stereotaxic Techniques, 03 medical and health sciences, Cellular and Molecular Neuroscience, 0302 clinical medicine, Cortex (anatomy), medicine, [SDV.MHEP.PHY]Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO], Humans, Evoked potential, Wakefulness, Electrocorticography, ComputingMilieux_MISCELLANEOUS, Brain Mapping, medicine.diagnostic_test, business.industry, Brain, 020601 biomedical engineering, Electrophysiology, medicine.anatomical_structure, business, Neuroscience, 030217 neurology & neurosurgery
Abstract

International audience; Objective: Direct electrical stimulation (DES) at 60 Hz is used to perform real-time functional mapping of the brain, and guide tumour resection during awake neurosurgery. Nonetheless, the electrophysiological effects of DES remain largely unknown, both locally and remotely.Approach: In this study, we lowered the DES frequency to 1-10 Hz and we used a differential recording mode of electro-corticographic (ECoG) signals to improve the focality with a simple algorithm to remove the artefacts due to the response of the acquisition chain.Main results: Doing so, we were able to observe different components in the evoked potentials triggered by simulating the cortex or the subcortical white matter pathways near the recording electrodes and by stimulating the cortex remotely from the recording site. More particularly, P0 and N1 components were repeatedly observed on raw ECoG signals without the need to average the data.Significance: This new methodology is important to probe the electrophysiological states and the connectivity of the brain in vivo and in real time, namely to perform electrophysiological brain mapping on human patients operated in the neurosurgical room and to better understand the electrophysiological spreading of DES.

Published
2019

6. Recovery of functional connectivity of the sensorimotor network after surgery for diffuse low-grade gliomas involving the supplementary motor area

Author

Jeremy Deverdun, Alain Bonafe, Hugues Duffau, Matthieu Vassal, Sylvie Moritz-Gasser, François Molino, Nicolas Menjot de Champfleur, Anirban Dutta, Céline Charroud, François Bonnetblanc, Guillaume Herbet, Emmanuelle Le Bars, Anthony Boyer, Institut des Neurosciences de Montpellier - Déficits sensoriels et moteurs (INM), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Laboratoire Charles Coulomb (L2C), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Control of Artificial Movement and Intuitive Neuroprosthesis (CAMIN), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Institut des Neurosciences de Montpellier (INM), and Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Inria Sophia Antipolis - Méditerranée (CRISAM)

Subjects
Adult, Male, medicine.medical_specialty, Rest, Brain mapping, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Magnetic resonance imaging, Functional neuroimaging, Glioma, Neural Pathways, Neuroplasticity, medicine, Humans, Paralysis, medicine.diagnostic_test, Resting state fMRI, Supplementary motor area, Brain Neoplasms, business.industry, Motor Cortex, Recovery of Function, General Medicine, medicine.disease, SMA, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Surgery, medicine.anatomical_structure, Oncology, Neuronal plasticity, Female, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], business, 030217 neurology & neurosurgery, Follow-Up Studies
Abstract

OBJECTIVE The supplementary motor area (SMA) syndrome is a well-studied lesional model of brain plasticity involving the sensorimotor network. Patients with diffuse low-grade gliomas in the SMA may exhibit this syndrome after resective surgery. They experience a temporary loss of motor function, which completely resolves within 3 months. The authors used functional MRI (fMRI) resting state analysis of the sensorimotor network to investigate large-scale brain plasticity between the immediate postoperative period and 3 months' follow-up. METHODS Resting state fMRI was performed preoperatively, during the immediate postoperative period, and 3 months postoperatively in 6 patients with diffuse low-grade gliomas who underwent partial surgical excision of the SMA. Correlation analysis within the sensorimotor network was carried out on those 3 time points to study modifications of its functional connectivity. RESULTS The results showed a large-scale reorganization of the sensorimotor network. Interhemispheric connectivity was decreased in the postoperative period, and increased again during the recovery process. Connectivity between the lesion side motor area and the contralateral SMA rose to higher values than in the preoperative period. Intrahemispheric connectivity was decreased during the immediate postoperative period and had returned to preoperative values at 3 months after surgery. CONCLUSIONS These results confirm the findings reported in the existing literature on the plasticity of the SMA, showing large-scale modifications of the sensorimotor network, at both inter- and intrahemispheric levels. They suggest that interhemispheric connectivity might be a correlate of SMA syndrome recovery.

Published
2017

Catalog

Books, media, physical & digital resources
See catalog results