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    The ENIGMA-Epilepsy working group: Mapping disease from large data sets

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    Author
    Sisodiya, S.M.
    Whelan, C.D.
    Kochunov, P.
    Date
    2020
    Journal
    Human Brain Mapping
    Publisher
    John Wiley and Sons Inc.
    Type
    Article
    
    Metadata
    Show full item record
    See at
    http://doi.org/10.1002/hbm.25037
    Abstract
    Epilepsy is a common and serious neurological disorder, with many different constituent conditions characterized by their electro clinical, imaging, and genetic features. MRI has been fundamental in advancing our understanding of brain processes in the epilepsies. Smaller-scale studies have identified many interesting imaging phenomena, with implications both for understanding pathophysiology and improving clinical care. Through the infrastructure and concepts now well-established by the ENIGMA Consortium, ENIGMA-Epilepsy was established to strengthen epilepsy neuroscience by greatly increasing sample sizes, leveraging ideas and methods established in other ENIGMA projects, and generating a body of collaborating scientists and clinicians to drive forward robust research. Here we review published, current, and future projects, that include structural MRI, diffusion tensor imaging (DTI), and resting state functional MRI (rsfMRI), and that employ advanced methods including structural covariance, and event-based modeling analysis. We explore age of onset- and duration-related features, as well as phenomena-specific work focusing on particular epilepsy syndromes or phenotypes, multimodal analyses focused on understanding the biology of disease progression, and deep learning approaches. We encourage groups who may be interested in participating to make contact to further grow and develop ENIGMA-Epilepsy. Copyright 2020 The Authors.
    Keyword
    covariance
    deep learning
    DTI
    event-based modeling
    gene expression
    genetics
    imaging
    MRI
    quantitative
    rsfMRI
    Identifier to cite or link to this item
    https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085547126&doi=10.1002%2fhbm.25037&partnerID=40&md5=79a92ab8a5986ac2f8a1eacc030cf7c4; http://hdl.handle.net/10713/13001
    ae974a485f413a2113503eed53cd6c53
    10.1002/hbm.25037
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