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dc.contributor.authorLiew, Sook‐Lei
dc.contributor.authorZavaliangos‐Petropulu, Artemis
dc.contributor.authorJahanshad, Neda
dc.contributor.authorLang, Catherine E.
dc.contributor.authorHayward, Kathryn S.
dc.contributor.authorLohse, Keith R.
dc.contributor.authorJuliano, Julia M.
dc.contributor.authorAssogna, Francesca
dc.contributor.authorBaugh, Lee A.
dc.contributor.authorBhattacharya, Anup K.
dc.contributor.authorBigjahan, Bavrina
dc.contributor.authorBorich, Michael R.
dc.contributor.authorBoyd, Lara A.
dc.contributor.authorBrodtmann, Amy
dc.contributor.authorBuetefisch, Cathrin M.
dc.contributor.authorByblow, Winston D.
dc.contributor.authorCassidy, Jessica M.
dc.contributor.authorConforto, Adriana B.
dc.contributor.authorCraddock, R. Cameron
dc.contributor.authorDimyan, Michael A.
dc.contributor.authorDula, Adrienne N.
dc.contributor.authorErmer, Elsa
dc.contributor.authorEtherton, Mark R.
dc.contributor.authorFercho, Kelene A.
dc.contributor.authorGregory, Chris M.
dc.contributor.authorHadidchi, Shahram
dc.contributor.authorHolguin, Jess A.
dc.contributor.authorHwang, Darryl H.
dc.contributor.authorJung, Simon
dc.contributor.authorKautz, Steven A.
dc.contributor.authorKhlif, Mohamed Salah
dc.contributor.authorKhoshab, Nima
dc.contributor.authorKim, Bokkyu
dc.contributor.authorKim, Hosung
dc.contributor.authorKuceyeski, Amy
dc.contributor.authorLotze, Martin
dc.contributor.authorMacIntosh, Bradley J.
dc.contributor.authorMargetis, John L.
dc.contributor.authorMohamed, Feroze B.
dc.contributor.authorPiras, Fabrizio
dc.contributor.authorRamos‐Murguialday, Ander
dc.contributor.authorRichard, Geneviève
dc.contributor.authorRoberts, Pamela
dc.contributor.authorRobertson, Andrew D.
dc.contributor.authorRondina, Jane M.
dc.contributor.authorRost, Natalia S.
dc.contributor.authorSanossian, Nerses
dc.contributor.authorSchweighofer, Nicolas
dc.contributor.authorSeo, Na Jin
dc.contributor.authorShiroishi, Mark S.
dc.contributor.authorSoekadar, Surjo R.
dc.contributor.authorSpalletta, Gianfranco
dc.contributor.authorStinear, Cathy M.
dc.contributor.authorSuri, Anisha
dc.contributor.authorTang, Wai Kwong W.
dc.contributor.authorThielman, Gregory T.
dc.contributor.authorVecchio, Daniela
dc.contributor.authorVillringer, Arno
dc.contributor.authorWard, Nick S.
dc.contributor.authorWerden, Emilio
dc.contributor.authorWestlye, Lars T.
dc.contributor.authorWinstein, Carolee
dc.contributor.authorWittenberg, George F.
dc.contributor.authorWong, Kristin A.
dc.contributor.authorYu, Chunshui
dc.contributor.authorCramer, Steven C.
dc.contributor.authorThompson, Paul M.
dc.date.accessioned2020-05-04T14:13:29Z
dc.date.available2020-05-04T14:13:29Z
dc.date.issued2020
dc.identifier.issn1065-9471en
dc.identifier.urihttp://hdl.handle.net/11556/916
dc.description.abstractThe 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.en
dc.language.isoengen
dc.publisherJohn Wiley and Sons Inc.en
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleThe ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain–behavior relationships after strokeen
dc.typearticleen
dc.identifier.doi10.1002/hbm.25015en
dc.rights.accessRightsopenAccessen
dc.subject.keywordsBig dataen
dc.subject.keywordsLesionsen
dc.subject.keywordsMRIen
dc.subject.keywordsNeuroinformaticsen
dc.subject.keywordsStrokeen
dc.identifier.essn1097-0193en
dc.journal.titleHuman Brain Mappingen


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