bioRxivNeurosciencePreprint
Network-based atrophy modelling in the common epilepsies: a worldwide ENIGMA study
Sara LarivièreiD, Raúl Rodríguez‐CrucesiD, Jessica RoyeriD, Maria Eugenia CaligiuriiD, Antonio GambardellaiD, Luis ConchaiD, Simon Sean KelleriD, Fernando CendesiD, Clarissa Lin YasudaiD, Leonardo BonilhaiD, Ezequiel L. GleichgerrchtiD, Niels K. FockeiD, Martin DomíniD, Felix von PodewilsiD, Sönke LangneriD, Christian RummeliD, Roland WiestiD, Pascal MartiniD, Raviteja KotikalapudiiD, Terence John O'BrieniD, Benjamin SinclairiD, Lucy E. VivashiD, Patricia M. DesmondiD, Saud AlhusainiiD, Colin P. DohertyiD, , Boris C. BernhardtiD
Abstract
Epilepsy is increasingly conceptualized as a network disorder. In this cross-sectional mega-analysis, we integrated neuroimaging and connectome analysis to identify network associations with atrophy patterns in 1,021 adults with epilepsy compared to 1,564 healthy controls from 19 international sites. In temporal lobe epilepsy, areas of atrophy co-localized with highly interconnected cortical hub regions, whereas idiopathic generalized epilepsy showed preferential subcortical hub involvement. These morphological abnormalities were anchored to the connectivity profiles of distinct disease epicenters, pointing to temporo-limbic cortices in temporal lobe epilepsy and fronto-central cortices in idiopathic generalized epilepsy. Indices of progressive atrophy further revealed a strong influence of connectome architecture on disease progression in temporal lobe, but not idiopathic generalized, epilepsy. Our findings were reproduced across individual sites and single patients, and were robust across different analytical methods. Through worldwide collaboration in ENIGMA-Epilepsy, we provided novel insights into the macroscale features that shape the pathophysiology of common epilepsies.
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