Whole-brain simulation of interictal epileptic discharges for patient-specific interpretation of interictal SEEG data.
Drug-resistant epilepsy
Interictal epileptic discharge
Inverse problem
Neural mass models
SEEG modeling
Journal
Neurophysiologie clinique = Clinical neurophysiology
ISSN: 1769-7131
Titre abrégé: Neurophysiol Clin
Pays: France
ID NLM: 8804532
Informations de publication
Date de publication:
18 Jul 2024
18 Jul 2024
Historique:
received:
24
01
2024
revised:
08
07
2024
accepted:
09
07
2024
medline:
20
7
2024
pubmed:
20
7
2024
entrez:
19
7
2024
Statut:
aheadofprint
Résumé
In patients with refractory epilepsy, the clinical interpretation of stereoelectroencephalographic (SEEG) signals is crucial to delineate the epileptogenic network that should be targeted by surgery. We propose a pipeline of patient-specific computational modeling of interictal epileptic activity to improve the definition of regions of interest. Comparison between the computationally defined regions of interest and the resected region confirmed the efficiency of the pipeline. This result suggests that computational modeling can be used to reconstruct signals and aid clinical interpretation.
Identifiants
pubmed: 39029213
pii: S0987-7053(24)00063-7
doi: 10.1016/j.neucli.2024.103005
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
103005Informations de copyright
Copyright © 2024 The Author(s). Published by Elsevier Masson SAS.. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest None of the authors has any conflict of interest to disclose.