Title | The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain-behavior relationships after stroke. |
Publication Type | Journal Article |
Year of Publication | 2022 |
Authors | Liew S-L, Zavaliangos-Petropulu A, Jahanshad N, Lang CE, Hayward KS, Lohse KR, Juliano JM, Assogna F, Baugh LA, Bhattacharya AK, Bigjahan B, Borich MR, Boyd LA, Brodtmann A, Buetefisch CM, Byblow WD, Cassidy JM, Conforto AB, R Craddock C, Dimyan MA, Dula AN, Ermer E, Etherton MR, Fercho KA, Gregory CM, Hadidchi S, Holguin JA, Hwang DH, Jung S, Kautz SA, Khlif MSalah, Khoshab N, Kim B, Kim H, Kuceyeski A, Lotze M, MacIntosh BJ, Margetis JL, Mohamed FB, Piras F, Ramos-Murguialday A, Richard G, Roberts P, Robertson AD, Rondina JM, Rost NS, Sanossian N, Schweighofer N, Seo NJin, Shiroishi MS, Soekadar SR, Spalletta G, Stinear CM, Suri A, Tang WKwong W, Thielman GT, Vecchio D, Villringer A, Ward NS, Werden E, Westlye LT, Winstein C, Wittenberg GF, Wong KA, Yu C, Cramer SC, Thompson PM |
Journal | Hum Brain Mapp |
Volume | 43 |
Issue | 1 |
Pagination | 129-148 |
Date Published | 2022 01 |
ISSN | 1097-0193 |
Keywords | Humans, Magnetic Resonance Imaging, Multicenter Studies as Topic, Neuroimaging, Stroke, Stroke Rehabilitation |
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. |
DOI | 10.1002/hbm.25015 |
Alternate Journal | Hum Brain Mapp |
PubMed ID | 32310331 |
PubMed Central ID | PMC8675421 |
Grant List | U19NS115388 / NH / NIH HHS / United States R01NS090677 / NH / NIH HHS / United States I01 RX001667 / RX / RRD VA / United States R21HD067906 / NH / NIH HHS / United States K23NS088107 / NH / NIH HHS / United States P20 GM109040 / NH / NIH HHS / United States P41 EB015922 / EB / NIBIB NIH HHS / United States R00 HD091375 / HD / NICHD NIH HHS / United States R56 NS100528 / NS / NINDS NIH HHS / United States IO1RX001667 / VA / VA / United States R56-NS100528 / NH / NIH HHS / United States R00HD091375 / NH / NIH HHS / United States R01NS115845 / NH / NIH HHS / United States HD086844 / NH / NIH HHS / United States R01NR015591 / NH / NIH HHS / United States U54EB020403 / NH / NIH HHS / United States P2CHD06570 / NH / NIH HHS / United States / AHA / American Heart Association-American Stroke Association / United States R01MH117601 / NH / NIH HHS / United States IK6 RX003075 / RX / RRD VA / United States R01HD095137 / NH / NIH HHS / United States ERC-2017-STG-759370 / ERC_ / European Research Council / International ERC-STG-802998 / ERC_ / European Research Council / International U54 EB020403 / EB / NIBIB NIH HHS / United States U19 NS115388 / NS / NINDS NIH HHS / United States R01AG059874 / NH / NIH HHS / United States PJT-153330 / / CIHR / Canada P2C HD086844 / HD / NICHD NIH HHS / United States K01HD091283 / NH / NIH HHS / United States R21 HD067906 / HD / NICHD NIH HHS / United States R01HD065438 / NH / NIH HHS / United States 5P2CHD086851 / NH / NIH HHS / United States R01NS082285 / NH / NIH HHS / United States R01NS076348 / NH / NIH HHS / United States N-1667 / VA / VA / United States P20 GM109040 / GM / NIGMS NIH HHS / United States R01NS086905 / NH / NIH HHS / United States HD065438 / NH / NIH HHS / United States |
Related Institute:
Brain Health Imaging Institute (BHII)