Network-based atrophy modeling in the common epilepsies: A worldwide ENIGMA study.

Larivière, Sara; Rodríguez-Cruces, Raúl; Royer, Jessica; Caligiuri, Maria Eugenia; Gambardella, Antonio; Concha, Luis; Keller, Simon S; Cendes, Fernando; Yasuda, Clarissa; Bonilha, Leonardo; Gleichgerrcht, Ezequiel; Focke, Niels K; Domin, Martin; von Podewills, Felix; Langner, Soenke; Rummel, Christian; Wiest, Roland; Martin, Pascal; Kotikalapudi, Raviteja; O'Brien, Terence J; ... (2020). Network-based atrophy modeling in the common epilepsies: A worldwide ENIGMA study. Science Advances, 6(47) American Association for the Advancement of Science 10.1126/sciadv.abc6457

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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 1021 adults with epilepsy compared to 1564 healthy controls from 19 international sites. In temporal lobe epilepsy, areas of atrophy colocalized 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. Negative effects of age on atrophy further revealed a strong influence of connectome architecture 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 deeper insights into the macroscale features that shape the pathophysiology of common epilepsies.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic and Interventional Neuroradiology

UniBE Contributor:

Rummel, Christian; Wiest, Roland and Abela, Eugenio

Subjects:

600 Technology > 610 Medicine & health

ISSN:

2375-2548

Publisher:

American Association for the Advancement of Science

Language:

English

Submitter:

Martin Zbinden

Date Deposited:

05 Jan 2021 16:56

Last Modified:

05 Jan 2021 17:06

Publisher DOI:

10.1126/sciadv.abc6457

PubMed ID:

33208365

BORIS DOI:

10.7892/boris.149645

URI:

https://boris.unibe.ch/id/eprint/149645

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