A computational biomarker of juvenile myoclonic epilepsy from resting-state MEG.
Biomarker
Epilepsy diagnosis
Functional connectivity
Juvenile myoclonic epilepsy
MEG
Phenomenological model
Journal
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
ISSN: 1872-8952
Titre abrégé: Clin Neurophysiol
Pays: Netherlands
ID NLM: 100883319
Informations de publication
Date de publication:
04 2021
04 2021
Historique:
received:
15
05
2020
revised:
07
12
2020
accepted:
18
12
2020
pubmed:
27
2
2021
medline:
28
8
2021
entrez:
26
2
2021
Statut:
ppublish
Résumé
For people with idiopathic generalized epilepsy, functional networks derived from their resting-state scalp electrophysiological recordings have shown an inherent higher propensity to generate seizures than those from healthy controls when assessed using the concept of brain network ictogenicity (BNI). Herein we tested whether the BNI framework is applicable to resting-state magnetoencephalography (MEG) from people with juvenile myoclonic epilepsy (JME). The BNI framework consists in deriving a functional network from apparently normal brain activity, placing a mathematical model of ictogenicity into the network and then computing how often such network generates seizures in silico. We considered data from 26 people with JME and 26 healthy controls. We found that resting-state MEG functional networks from people with JME are characterized by a higher propensity to generate seizures (i.e., higher BNI) than those from healthy controls. We found a classification accuracy of 73%. The BNI framework is applicable to MEG and was capable of differentiating people with epilepsy from healthy controls. The BNI framework may be applied to resting-state MEG to aid in epilepsy diagnosis.
Identifiants
pubmed: 33636607
pii: S1388-2457(21)00031-6
doi: 10.1016/j.clinph.2020.12.021
pmc: PMC7992031
pii:
doi:
Substances chimiques
Biomarkers
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
922-927Subventions
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 204824/Z/16/Z
Pays : United Kingdom
Organisme : Wellcome Trust
ID : WT105618MA
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 104943/Z/14/Z
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/K005464/1
Pays : United Kingdom
Informations de copyright
Copyright © 2021 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest JT is co-founder and Director of Neuronostics.
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