English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

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

Liew, S., Zavaliangos‐Petropulu, A., Jahanshad, N., Lang, C. E., Hayward, K. S., Lohse, K. R., et al. (2020). The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain-behavior relationships after stroke. Human Brain Mapping. doi:10.1002/hbm.25015.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/21.11116/0000-0006-59D9-2 Version Permalink: http://hdl.handle.net/21.11116/0000-0006-59DA-1
Genre: Journal Article

Files

show Files
hide Files
:
Liew_2020.pdf (Publisher version), 3MB
Name:
Liew_2020.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Liew, Sook‐Lei, Author
Zavaliangos‐Petropulu, Artemis, Author
Jahanshad, Neda, Author
Lang, Catherine E., Author
Hayward, Kathryn S., Author
Lohse, Keith R., Author
Juliano, Julia M., Author
Assogna, Francesca, Author
Baugh, Lee A., Author
Bhattacharya, Anup K., Author
Bigjahan, Bavrina, Author
Borich, Michael R., Author
Boyd, Lara A., Author
Brodtmann, Amy, Author
Buetefisch, Cathrin M., Author
Byblow, Winston D., Author
Cassidy, Jessica M., Author
Conforto, Adriana B., Author
Craddock, R. Cameron, Author
Dimyan, Michael A., Author
Dula, Adrienne N., AuthorErmer, Elsa, AuthorEtherton, Mark R., AuthorFercho, Kelene A., AuthorGregory, Chris M., AuthorHadidchi, Shahram, AuthorHolguin, Jess A., AuthorHwang, Darryl H., AuthorJung, Simon, AuthorKautz, Steven A., AuthorKhlif, Mohamed Salah, AuthorKhoshab, Nima, AuthorKim, Bokkyu, AuthorKim, Hosung, AuthorKuceyeski, Amy, AuthorLotze, Martin, AuthorMacIntosh, Bradley J., AuthorMargetis, John L., AuthorMohamed, Feroze B., AuthorPiras, Fabrizio, AuthorRamos‐Murguialday, Ander, AuthorRichard, Geneviève, AuthorRoberts, Pamela, AuthorRobertson, Andrew D., AuthorRondina, Jane M., AuthorRost, Natalia S., AuthorSanossian, Nerses, AuthorSchweighofer, Nicolas, AuthorSeo, Na Jin, AuthorShiroishi, Mark S., AuthorSoekadar, Surjo R., AuthorSpalletta, Gianfranco, AuthorStinear, Cathy M., AuthorSuri, Anisha, AuthorTang, Wai Kwong W., AuthorThielman, Gregory T., AuthorVecchio, Daniela, AuthorVillringer, Arno1, Author              Ward, Nick S., AuthorWerden, Emilio, AuthorWestlye, Lars T., AuthorWinstein, Carolee, AuthorWittenberg, George F., AuthorWong, Kristin A., AuthorYu, Chunshui, AuthorCramer, Steven C., AuthorThompson, Paul M., Author more..
Affiliations:
1Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              

Content

show
hide
Free keywords: MRI; Big data; Lesions; Neuroinformatics; 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.

Details

show
hide
Language(s): eng - English
 Dates: 2020-04-032019-12-162020-04-082020-04-20
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1002/hbm.25015
Other: epub ahead of print
PMID: 32310331
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Human Brain Mapping
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: New York : Wiley-Liss
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISSN: 1065-9471
CoNE: https://pure.mpg.de/cone/journals/resource/954925601686