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

B Frauscher; C G Bénar; J Jr Engel; C Grova; J Jacobs; P Kahane; S Wiebe; M Zjilmans; F Dubeau

doi:10.1016/j.yebeh.2023.109221

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

Epilepsy Behav. 2023 Jun:143:109221. doi: 10.1016/j.yebeh.2023.109221. Epub 2023 Apr 27.

Authors

B Frauscher¹, C G Bénar², J Jr Engel³, C Grova⁴, J Jacobs⁵, P Kahane⁶, S Wiebe⁷, M Zjilmans⁸, F Dubeau⁹

Affiliations

¹ Analytical Neurophysiology Lab, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada. Electronic address: birgit.frauscher@mcgill.ca.
² Aix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France.
³ David Geffen School of Medicine at UCLA, Los Angeles, CA, United States.
⁴ 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.
⁵ Department of Pediatric and Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
⁶ Univ. Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Grenoble Institute Neurosciences, Department of Neurology, 38000 Grenoble, France.
⁷ Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada.
⁸ Stichting Epilepsie Instellingen Nederland, The Netherlands; Brain Center, University Medical Center Utrecht, The Netherlands.
⁹ Montreal Neurological Institute and Hospital, Neurology and Neurosurgery Department, McGill University, Montreal, QC, Canada.

PMID: 37119580
DOI: 10.1016/j.yebeh.2023.109221

Abstract

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.

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

Publication types

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

MeSH terms

Artificial Intelligence*
Brain Mapping / methods
Electroencephalography / methods
Epilepsy*
Humans
Neuropsychology
Quality of Life

Abstract

Publication types

MeSH terms

Grants and funding