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

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    Author
    Lariviere, S; Rodriguez-Cruces, R; Royer, J; Caligiuri, ME; Gambardella, A; Concha, L; Keller, SS; Cendes, F; Yasuda, C; Bonilha, L; ...
    Date
    2020-11-01
    Source Title
    Science Advances
    Publisher
    AMER ASSOC ADVANCEMENT SCIENCE
    University of Melbourne Author/s
    Desmond, Patricia
    Affiliation
    Medicine and Radiology
    Metadata
    Show full item record
    Document Type
    Journal Article
    Citations
    Lariviere, 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 Status
    Open Access
    URI
    http://hdl.handle.net/11343/253008
    DOI
    10.1126/sciadv.abc6457
    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 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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