Network-based atrophy modelling in the common epilepsies: a worldwide ENIGMA study



Larivière, Sara, Rodríguez-Cruces, Raúl, Royer, Jessica, Caligiuri, Maria Eugenia ORCID: 0000-0002-2030-5552, Gambardella, Antonio ORCID: 0000-0001-7384-3074, Concha, Luis ORCID: 0000-0002-7842-3869, Keller, Simon ORCID: 0000-0001-5247-9795, Cendes, Fernando, Yasuda, Clarissa ORCID: 0000-0001-9084-7173, Bonilha, Leonardo
et al (show 52 more authors) (2020) Network-based atrophy modelling in the common epilepsies: a worldwide ENIGMA study Science advances. 2020.05.04.076836-. ISSN 2692-8205

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Abstract

<h4>SUMMARY</h4> 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.

Item Type: Article
Uncontrolled Keywords: 32 Biomedical and Clinical Sciences, 3209 Neurosciences, Epilepsy, Neurosciences, Brain Disorders, Biomedical Imaging, Clinical Research, Neurodegenerative, 2.1 Biological and endogenous factors, Neurological, 3 Good Health and Well Being
Depositing User: Symplectic Admin
Date Deposited: 27 May 2020 09:16
Last Modified: 09 Oct 2026 01:38
DOI: 10.1101/2020.05.04.076836
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URI: https://livrepository.liverpool.ac.uk/id/eprint/3088988
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