Temporal Evolution of Multiday, Epileptic Functional Networks Prior to Seizure Occurrence.

ABSTRACT: Epilepsy is one of the most common neurological disorders, characterized by the occurrence of repeated seizures. Given that epilepsy is considered a network disorder, tools derived from network neuroscience may confer the valuable ability to quantify the properties of epileptic brain networks. In this study, we use well-established brain network metrics (i.e., mean strength, variance of strength, eigenvector centrality, betweenness centrality) to characterize the temporal evolution of epileptic functional networks over several days prior to seizure occurrence. We infer the networks using long-term electroencephalographic recordings from 12 people with epilepsy. We found that brain network metrics are variable across days and show a circadian periodicity. In addition, we found that in 9 out

SUBMITTER: Laiou P 

PROVIDER: S-EPMC9599905 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature