Network-based atrophy modeling in the common epilepsies: A worldwide ENIGMA study
AuthorLariviere, S; Rodriguez-Cruces, R; Royer, J; Caligiuri, ME; Gambardella, A; Concha, L; Keller, SS; Cendes, F; Yasuda, C; Bonilha, L; ...
Source TitleScience Advances
PublisherAMER ASSOC ADVANCEMENT SCIENCE
University of Melbourne Author/sJackson, Graeme; Desmond, Patricia; Semmelroch, Mira; Kowalczyk, Magdalena; O'Brien, Terence
AffiliationFlorey Department of Neuroscience and Mental Health
Document TypeJournal Article
CitationsLariviere, S., Rodriguez-Cruces, R., Royer, J., Caligiuri, M. E., Gambardella, A., Concha, L., Keller, S. S., Cendes, F., Yasuda, C., Bonilha, L., Gleichgerrcht, E., Focke, N. K., Domin, M., von Podewills, F., Langner, S., Rummel, C., Wiest, R., Martin, P., Kotikalapudi, R. ,... Bernhardt, B. C. (2020). Network-based atrophy modeling in the common epilepsies: A worldwide ENIGMA study. SCIENCE ADVANCES, 6 (47), https://doi.org/10.1126/sciadv.abc6457.
Access StatusOpen Access
NHMRC Grant codeNHMRC/1091593
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.
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