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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Text
ENIGMA-networks.pdf - Submitted version Download (5MB) | Preview |
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 |
| Related Websites: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3088988 |
| Disclaimer: | The University of Liverpool is not responsible for content contained on other websites from links within repository metadata. Please contact us if you notice anything that appears incorrect or inappropriate. |
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