Neurophysiology, Neuropsychology, and Epilepsy, in 2022: Hills We Have Climbed and Hills Ahead. Neurophysiology in epilepsy.

Electrical and magnetic source imaging Electrical stimulation Electroencephalography – functional magnetic resonance imaging High-frequency oscillations MNI iEEG atlas Stereo-electroencephalography

Journal

Epilepsy & behavior : E&B
ISSN: 1525-5069
Titre abrégé: Epilepsy Behav
Pays: United States
ID NLM: 100892858

Informations de publication

Date de publication:
06 2023
Historique:
received: 18 03 2023
revised: 04 04 2023
accepted: 06 04 2023
medline: 29 5 2023
pubmed: 30 4 2023
entrez: 29 4 2023
Statut: ppublish

Résumé

Since the discovery of the human electroencephalogram (EEG), neurophysiology techniques have become indispensable tools in our armamentarium to localize epileptic seizures. New signal analysis techniques and the prospects of artificial intelligence and big data will offer unprecedented opportunities to further advance the field in the near future, ultimately resulting in improved quality of life for many patients with drug-resistant epilepsy. This article summarizes selected presentations from Day 1 of the two-day symposium "Neurophysiology, Neuropsychology, Epilepsy, 2022: Hills We Have Climbed and the Hills Ahead". Day 1 was dedicated to highlighting and honoring the work of Dr. Jean Gotman, a pioneer in EEG, intracranial EEG, simultaneous EEG/ functional magnetic resonance imaging, and signal analysis of epilepsy. The program focused on two main research directions of Dr. Gotman, and was dedicated to "High-frequency oscillations, a new biomarker of epilepsy" and "Probing the epileptic focus from inside and outside". All talks were presented by colleagues and former trainees of Dr. Gotman. The extended summaries provide an overview of historical and current work in the neurophysiology of epilepsy with emphasis on novel EEG biomarkers of epilepsy and source imaging and concluded with an outlook on the future of epilepsy research, and what is needed to bring the field to the next level.

Identifiants

pubmed: 37119580
pii: S1525-5050(23)00140-3
doi: 10.1016/j.yebeh.2023.109221
pii:
doi:

Types de publication

Journal Article Review Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

109221

Subventions

Organisme : CIHR
ID : PJT-159948
Pays : Canada
Organisme : CIHR
ID : 480576
Pays : Canada

Informations de copyright

Copyright © 2023 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

B Frauscher (B)

Analytical Neurophysiology Lab, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada. Electronic address: birgit.frauscher@mcgill.ca.

C G Bénar (CG)

Aix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France.

J Jr Engel (JJ)

David Geffen School of Medicine at UCLA, Los Angeles, CA, United States.

C Grova (C)

Multimodal Functional Imaging Lab, PERFORM Centre, Department of Physics, Concordia University, Montreal, QC, Canada; Multimodal Functional Imaging Lab, Biomedical Engineering Department, McGill University, QC, Canada; Montreal Neurological Institute and Hospital, Neurology and Neurosurgery Department, McGill University, Montreal, QC, Canada.

J Jacobs (J)

Department of Pediatric and Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.

P Kahane (P)

Univ. Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Grenoble Institute Neurosciences, Department of Neurology, 38000 Grenoble, France.

S Wiebe (S)

Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada.

M Zjilmans (M)

Stichting Epilepsie Instellingen Nederland, The Netherlands; Brain Center, University Medical Center Utrecht, The Netherlands.

F Dubeau (F)

Montreal Neurological Institute and Hospital, Neurology and Neurosurgery Department, McGill University, Montreal, QC, Canada.

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Classifications MeSH