Cortico-muscular coherence and brain networks in familial adult myoclonic epilepsy and progressive myoclonic epilepsy.


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:
Jul 2023
Historique:
received: 25 01 2023
revised: 12 03 2023
accepted: 24 04 2023
medline: 12 6 2023
pubmed: 22 5 2023
entrez: 22 5 2023
Statut: ppublish

Résumé

Familial Adult Myoclonic Epilepsy (FAME) presents with action-activated myoclonus, often associated with epilepsy, sharing various features with Progressive Myoclonic Epilepsy (PMEs), but with slower course and limited motor disability. We aimed our study to identify measures suitable to explain the different severity of FAME2 compared to EPM1, the most common PME, and to detect the signature of the distinctive brain networks. We analyzed the EEG-EMG coherence (CMC) during segmental motor activity and indexes of connectivity in the two patient groups, and in healthy subjects (HS). We also investigated the regional and global properties of the network. In FAME2, differently from EPM1, we found a well-localized distribution of beta-CMC and increased betweenness-centrality (BC) on the sensorimotor region contralateral to the activated hand. In both patient groups, compared to HS, there was a decline in the network connectivity indexes in the beta and gamma band, which was more obvious in FAME2. In FAME2, better localized CMC and increased BC in comparison with EPM1 patients could counteract the severity and the spreading of the myoclonus. Decreased indexes of cortical integration were more severe in FAME2. Our measures correlated with different motor disabilities and identified distinctive brain network impairments.

Identifiants

pubmed: 37216715
pii: S1388-2457(23)00614-4
doi: 10.1016/j.clinph.2023.04.009
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

74-82

Informations de copyright

Copyright © 2023 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Conflict of Interest None of the authors has potential conflicts of interest to be disclosed.

Auteurs

Silvana Franceschetti (S)

Neurophysiopathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy. Electronic address: silvana.franceschetti@istituto-besta.it.

Elisa Visani (E)

Bioengineering Unit, Dept. of Diagnostic and Technology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy. Electronic address: elisa.visani@istituto-besta.it.

Ferruccio Panzica (F)

Clinical Engineering, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy. Electronic address: ferruccio.panzica@istituto-besta.it.

Antonietta Coppola (A)

Department of Neuroscience, Odontostomatology and Reproductive Sciences, Federico II, University of Naples, Napoli, Italy.

Pasquale Striano (P)

IRCCS Istituto "Giannina Gaslini", Genova, Italy; Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova, Genova, Italy.

Laura Canafoglia (L)

Integrated Diagnostics for Epilepsy, Dept of Diagnostic and Technology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy. Electronic address: laura.canafoglia@istituto-besta.it.

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Classifications MeSH