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The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain–behavior relationships after stroke
Human Brain Mapping ( IF 4.8 ) Pub Date : 2020-04-20 , DOI: 10.1002/hbm.25015
Sook-Lei Liew 1, 2, 3, 4 , Artemis Zavaliangos-Petropulu 2, 4, 5 , Neda Jahanshad 2, 5 , Catherine E Lang 6 , Kathryn S Hayward 7, 8 , Keith R Lohse 9, 10 , Julia M Juliano 4 , Francesca Assogna 11 , Lee A Baugh 12, 13 , Anup K Bhattacharya 14 , Bavrina Bigjahan 2, 15 , Michael R Borich 16 , Lara A Boyd 17, 18 , Amy Brodtmann 19 , Cathrin M Buetefisch 16, 20 , Winston D Byblow 21 , Jessica M Cassidy 22 , Adriana B Conforto 23, 24 , R Cameron Craddock 25 , Michael A Dimyan 26, 27 , Adrienne N Dula 25, 28 , Elsa Ermer 26 , Mark R Etherton 29, 30 , Kelene A Fercho 12, 31 , Chris M Gregory 32 , Shahram Hadidchi 33, 34 , Jess A Holguin 1 , Darryl H Hwang 15 , Simon Jung 35 , Steven A Kautz 32, 36 , Mohamed Salah Khlif 19 , Nima Khoshab 37 , Bokkyu Kim 38, 39 , Hosung Kim 2 , Amy Kuceyeski 40, 41 , Martin Lotze 42 , Bradley J MacIntosh 43, 44 , John L Margetis 1 , Feroze B Mohamed 45 , Fabrizio Piras 11 , Ander Ramos-Murguialday 46, 47 , Geneviève Richard 48, 49, 50 , Pamela Roberts 51 , Andrew D Robertson 52, 53 , Jane M Rondina 54 , Natalia S Rost 55 , Nerses Sanossian 56 , Nicolas Schweighofer 39 , Na Jin Seo 32, 36, 57 , Mark S Shiroishi 58 , Surjo R Soekadar 59, 60 , Gianfranco Spalletta 11, 61 , Cathy M Stinear 62 , Anisha Suri 63 , Wai Kwong W Tang 64 , Gregory T Thielman 65, 66 , Daniela Vecchio 11 , Arno Villringer 67, 68, 69 , Nick S Ward 70 , Emilio Werden 19 , Lars T Westlye 48, 49 , Carolee Winstein 39, 71 , George F Wittenberg 72, 73 , Kristin A Wong 74 , Chunshui Yu 75, 76 , Steven C Cramer 77 , Paul M Thompson 2, 5
Affiliation  

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.

中文翻译:

ENIGMA 中风恢复工作组:利用大数据神经影像研究中风后大脑与行为的关系

通过荟萃分析增强神经影像遗传学 (ENIGMA) 中风恢复工作组的目标是使用功能强大的荟萃分析和大型分析方法来了解大脑和行为关系。ENIGMA 中风恢复拥有来自 39 项研究和全球 10 个国家的 2,100 多名中风患者的数据,构成迄今为止最大的多站点回顾性中风数据合作。本文概述了 ENIGMA 中风恢复工作组为开发神经信息学协议和方法来管理多部位中风脑磁共振成像、行为和人口统计数据所付出的努力。具体来说,描述了可扩展的数据获取和预处理、多站点数据协调和大规模中风病变分析的过程,并讨论了中风研究中此类大数据协作所面临的独特挑战。最后,提供了未来的方向和局限性,以及通过前瞻性数据收集和数据管理改进数据协调的建议。
更新日期:2020-04-20
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