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    The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain-behavior relationships after stroke

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    Author
    Liew, S.-L.
    Zavaliangos-Petropulu, A.
    Ermer, E.
    Date
    2020
    Journal
    Human Brain Mapping
    Publisher
    John Wiley and Sons Inc.
    Type
    Article
    
    Metadata
    Show full item record
    See at
    https://doi.org/10.1002/hbm.25015
    Abstract
    The goal of the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Stroke Recovery working group is to understand brain and behavior relationships using well-powered meta- and mega-analytic approaches. ENIGMA Stroke Recovery has data from over 2,100 stroke patients collected across 39 research studies and 10 countries around the world, comprising the largest multisite retrospective stroke data collaboration to date. This article outlines the efforts taken by the ENIGMA Stroke Recovery working group to develop neuroinformatics protocols and methods to manage multisite stroke brain magnetic resonance imaging, behavioral and demographics data. Specifically, the processes for scalable data intake and preprocessing, multisite data harmonization, and large-scale stroke lesion analysis are described, and challenges unique to this type of big data collaboration in stroke research are discussed. Finally, future directions and limitations, as well as recommendations for improved data harmonization through prospective data collection and data management, are provided. Copyright 2020 The Authors.
    Keyword
    big data
    lesions
    MRI
    neuroinformatics
    stroke
    Identifier to cite or link to this item
    https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083706027&doi=10.1002%2fhbm.25015&partnerID=40&md5=4b72fb5d5d63c45176de002f51f27241; http://hdl.handle.net/10713/12718
    ae974a485f413a2113503eed53cd6c53
    10.1002/hbm.25015
    Scopus Count
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    UMB Open Access Articles 2020

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