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

Sook Lei Liew; Artemis Zavaliangos-Petropulu; Neda Jahanshad; Catherine E. Lang; Kathryn S. Hayward; Keith R. Lohse; Julia M. Juliano; Francesca Assogna; Lee A. Baugh; Anup K. Bhattacharya; Bavrina Bigjahan; Michael R. Borich; Lara A. Boyd; Amy Brodtmann; Cathrin M. Buetefisch; Winston D. Byblow; Jessica M. Cassidy; Adriana B. Conforto; R. Cameron Craddock; Michael A. Dimyan; Adrienne N. Dula; Elsa Ermer; Mark R. Etherton; Kelene A. Fercho; Chris M. Gregory; Shahram Hadidchi; Jess A. Holguin; Darryl H. Hwang; Simon Jung; Steven A. Kautz; Mohamed Salah Khlif; Nima Khoshab; Bokkyu Kim; Hosung Kim; Amy Kuceyeski; Martin Lotze; Bradley J. MacIntosh; John L. Margetis; Feroze B. Mohamed; Fabrizio Piras; Ander Ramos-Murguialday; Geneviève Richard; Pamela Roberts; Andrew D. Robertson; Jane M. Rondina; Natalia S. Rost; Nerses Sanossian; Nicolas Schweighofer; Na Jin Seo; Mark S. Shiroishi; Surjo R. Soekadar; Gianfranco Spalletta; Cathy M. Stinear; Anisha Suri; Wai Kwong W. Tang; Gregory T. Thielman; Daniela Vecchio; Arno Villringer; Nick S. Ward; Emilio Werden; Lars T. Westlye; Carolee Winstein; George F. Wittenberg; Kristin A. Wong; Chunshui Yu; Steven C. Cramer; Paul M. Thompson

doi:10.1002/hbm.25015

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

Sook Lei Liew, Artemis Zavaliangos-Petropulu, Neda Jahanshad, Catherine E. Lang, Kathryn S. Hayward, Keith R. Lohse, Julia M. Juliano, Francesca Assogna, Lee A. Baugh, Anup K. Bhattacharya, Bavrina Bigjahan, Michael R. Borich, Lara A. Boyd, Amy Brodtmann, Cathrin M. Buetefisch, Winston D. Byblow, Jessica M. Cassidy, Adriana B. Conforto, R. Cameron Craddock, Michael A. DimyanAdrienne N. Dula, Elsa Ermer, Mark R. Etherton, Kelene A. Fercho, Chris M. Gregory, Shahram Hadidchi, Jess A. Holguin, Darryl H. Hwang, Simon Jung, Steven A. Kautz, Mohamed Salah Khlif, Nima Khoshab, Bokkyu Kim, Hosung Kim, Amy Kuceyeski, Martin Lotze, Bradley J. MacIntosh, John L. Margetis, Feroze B. Mohamed, Fabrizio Piras, Ander Ramos-Murguialday, Geneviève Richard, Pamela Roberts, Andrew D. Robertson, Jane M. Rondina, Natalia S. Rost, Nerses Sanossian, Nicolas Schweighofer, Na Jin Seo, Mark S. Shiroishi, Surjo R. Soekadar, Gianfranco Spalletta, Cathy M. Stinear, Anisha Suri, Wai Kwong W. Tang, Gregory T. Thielman, Daniela Vecchio, Arno Villringer, Nick S. Ward, Emilio Werden, Lars T. Westlye, Carolee Winstein, George F. Wittenberg, Kristin A. Wong, Chunshui Yu, Steven C. Cramer, Paul M. Thompson

Research output: Contribution to journal › Review article › peer-review

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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.

Original language	English
Pages (from-to)	129-148
Number of pages	20
Journal	Human Brain Mapping
Volume	43
Issue number	1
DOIs	https://doi.org/10.1002/hbm.25015
State	Published - Jan 2022

Keywords

MRI
big data
lesions
neuroinformatics
stroke

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Liew, S. L., Zavaliangos-Petropulu, A., Jahanshad, N., Lang, C. E., Hayward, K. S., Lohse, K. R., Juliano, J. M., Assogna, F., Baugh, L. A., Bhattacharya, A. K., Bigjahan, B., Borich, M. R., Boyd, L. A., Brodtmann, A., Buetefisch, C. M., Byblow, W. D., Cassidy, J. M., Conforto, A. B., Craddock, R. C., ... Thompson, P. M. (2022). The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain–behavior relationships after stroke. Human Brain Mapping, 43(1), 129-148. https://doi.org/10.1002/hbm.25015

@article{73824c2e53574d5e99a9bd13257f66cc,

title = "The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain–behavior relationships after stroke",

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.",

keywords = "MRI, big data, lesions, neuroinformatics, stroke",

author = "Liew, {Sook Lei} and Artemis Zavaliangos-Petropulu and Neda Jahanshad and Lang, {Catherine E.} and Hayward, {Kathryn S.} and Lohse, {Keith R.} and Juliano, {Julia M.} and Francesca Assogna and Baugh, {Lee A.} and Bhattacharya, {Anup K.} and Bavrina Bigjahan and Borich, {Michael R.} and Boyd, {Lara A.} and Amy Brodtmann and Buetefisch, {Cathrin M.} and Byblow, {Winston D.} and Cassidy, {Jessica M.} and Conforto, {Adriana B.} and Craddock, {R. Cameron} and Dimyan, {Michael A.} and Dula, {Adrienne N.} and Elsa Ermer and Etherton, {Mark R.} and Fercho, {Kelene A.} and Gregory, {Chris M.} and Shahram Hadidchi and Holguin, {Jess A.} and Hwang, {Darryl H.} and Simon Jung and Kautz, {Steven A.} and Khlif, {Mohamed Salah} and Nima Khoshab and Bokkyu Kim and Hosung Kim and Amy Kuceyeski and Martin Lotze and MacIntosh, {Bradley J.} and Margetis, {John L.} and Mohamed, {Feroze B.} and Fabrizio Piras and Ander Ramos-Murguialday and Genevi{\`e}ve Richard and Pamela Roberts and Robertson, {Andrew D.} and Rondina, {Jane M.} and Rost, {Natalia S.} and Nerses Sanossian and Nicolas Schweighofer and Seo, {Na Jin} and Shiroishi, {Mark S.} and Soekadar, {Surjo R.} and Gianfranco Spalletta and Stinear, {Cathy M.} and Anisha Suri and Tang, {Wai Kwong W.} and Thielman, {Gregory T.} and Daniela Vecchio and Arno Villringer and Ward, {Nick S.} and Emilio Werden and Westlye, {Lars T.} and Carolee Winstein and Wittenberg, {George F.} and Wong, {Kristin A.} and Chunshui Yu and Cramer, {Steven C.} and Thompson, {Paul M.}",

note = "Publisher Copyright: {\textcopyright} 2020 The Authors. Human Brain Mapping published by Wiley Periodicals, Inc.",

year = "2022",

month = jan,

doi = "10.1002/hbm.25015",

language = "English",

volume = "43",

pages = "129--148",

journal = "Human Brain Mapping",

issn = "1065-9471",

number = "1",

}

Liew, SL, 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, Craddock, RC, Dimyan, MA, Dula, AN, Ermer, E, Etherton, MR, Fercho, KA, Gregory, CM, Hadidchi, S, Holguin, JA, Hwang, DH, Jung, S, Kautz, SA, Khlif, MS, 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, NJ, Shiroishi, MS, Soekadar, SR, Spalletta, G, Stinear, CM, Suri, A, Tang, WKW, Thielman, GT, Vecchio, D, Villringer, A, Ward, NS, Werden, E, Westlye, LT, Winstein, C, Wittenberg, GF, Wong, KA, Yu, C, Cramer, SC & Thompson, PM 2022, 'The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain–behavior relationships after stroke', Human Brain Mapping, vol. 43, no. 1, pp. 129-148. https://doi.org/10.1002/hbm.25015

TY - JOUR

T1 - The ENIGMA Stroke Recovery Working Group

T2 - Big data neuroimaging to study brain–behavior relationships after stroke

AU - Liew, Sook Lei

AU - Zavaliangos-Petropulu, Artemis

AU - Jahanshad, Neda

AU - Lang, Catherine E.

AU - Hayward, Kathryn S.

AU - Lohse, Keith R.

AU - Juliano, Julia M.

AU - Assogna, Francesca

AU - Baugh, Lee A.

AU - Bhattacharya, Anup K.

AU - Bigjahan, Bavrina

AU - Borich, Michael R.

AU - Boyd, Lara A.

AU - Brodtmann, Amy

AU - Buetefisch, Cathrin M.

AU - Byblow, Winston D.

AU - Cassidy, Jessica M.

AU - Conforto, Adriana B.

AU - Craddock, R. Cameron

AU - Dimyan, Michael A.

AU - Dula, Adrienne N.

AU - Ermer, Elsa

AU - Etherton, Mark R.

AU - Fercho, Kelene A.

AU - Gregory, Chris M.

AU - Hadidchi, Shahram

AU - Holguin, Jess A.

AU - Hwang, Darryl H.

AU - Jung, Simon

AU - Kautz, Steven A.

AU - Khlif, Mohamed Salah

AU - Khoshab, Nima

AU - Kim, Bokkyu

AU - Kim, Hosung

AU - Kuceyeski, Amy

AU - Lotze, Martin

AU - MacIntosh, Bradley J.

AU - Margetis, John L.

AU - Mohamed, Feroze B.

AU - Piras, Fabrizio

AU - Ramos-Murguialday, Ander

AU - Richard, Geneviève

AU - Roberts, Pamela

AU - Robertson, Andrew D.

AU - Rondina, Jane M.

AU - Rost, Natalia S.

AU - Sanossian, Nerses

AU - Schweighofer, Nicolas

AU - Seo, Na Jin

AU - Shiroishi, Mark S.

AU - Soekadar, Surjo R.

AU - Spalletta, Gianfranco

AU - Stinear, Cathy M.

AU - Suri, Anisha

AU - Tang, Wai Kwong W.

AU - Thielman, Gregory T.

AU - Vecchio, Daniela

AU - Villringer, Arno

AU - Ward, Nick S.

AU - Werden, Emilio

AU - Westlye, Lars T.

AU - Winstein, Carolee

AU - Wittenberg, George F.

AU - Wong, Kristin A.

AU - Yu, Chunshui

AU - Cramer, Steven C.

AU - Thompson, Paul M.

PY - 2022/1

Y1 - 2022/1

N2 - 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.

AB - 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.

KW - MRI

KW - big data

KW - lesions

KW - neuroinformatics

KW - stroke

UR - http://www.scopus.com/inward/record.url?scp=85083706027&partnerID=8YFLogxK

U2 - 10.1002/hbm.25015

DO - 10.1002/hbm.25015

M3 - Review article

C2 - 32310331

AN - SCOPUS:85083706027

SN - 1065-9471

VL - 43

SP - 129

EP - 148

JO - Human Brain Mapping

JF - Human Brain Mapping

IS - 1

ER -

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

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Keywords

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