Localizing the epileptogenic zone.
Journal
Current opinion in neurology
ISSN: 1473-6551
Titre abrégé: Curr Opin Neurol
Pays: England
ID NLM: 9319162
Informations de publication
Date de publication:
04 2020
04 2020
Historique:
pubmed:
13
2
2020
medline:
23
1
2021
entrez:
13
2
2020
Statut:
ppublish
Résumé
Epilepsy surgery is the therapy of choice for 30-40% of people with focal drug-resistant epilepsy. Currently only ∼60% of well selected patients become postsurgically seizure-free underlining the need for better tools to identify the epileptogenic zone. This article reviews the latest neurophysiological advances for EZ localization with emphasis on ictal EZ identification, interictal EZ markers, and noninvasive neurophysiological mapping procedures. We will review methods for computerized EZ assessment, summarize computational network approaches for outcome prediction and individualized surgical planning. We will discuss electrical stimulation as an option to reduce the time needed for presurgical work-up. We will summarize recent research regarding high-frequency oscillations, connectivity measures, and combinations of multiple markers using machine learning. This latter was shown to outperform single markers. The role of NREM sleep for best identification of the EZ interictally will be discussed. We will summarize recent large-scale studies using electrical or magnetic source imaging for clinical decision-making. New approaches based on technical advancements paired with artificial intelligence are on the horizon for better EZ identification. They are ultimately expected to result in a more efficient, less invasive, and less time-demanding presurgical investigation.
Identifiants
pubmed: 32049743
doi: 10.1097/WCO.0000000000000790
pii: 00019052-202004000-00008
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
198-206Références
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