Motion artifact in studies of functional connectivity: Characteristics and mitigation strategies.

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TitleMotion artifact in studies of functional connectivity: Characteristics and mitigation strategies.
Publication TypeJournal Article
Year of Publication2017
AuthorsSatterthwaite, TD, Ciric, R, Roalf, DR, Davatzikos, C, Bassett, DS, Wolf, DH
JournalHum Brain Mapp
Date Published2017 Nov 01
ISSN1097-0193
Abstract

Motion artifacts are now recognized as a major methodological challenge for studies of functional connectivity. As in-scanner motion is frequently correlated with variables of interest such as age, clinical status, cognitive ability, and symptom severity, in-scanner motion has the potential to introduce systematic bias. In this article, we describe how motion-related artifacts influence measures of functional connectivity and discuss the relative strengths and weaknesses of commonly used denoising strategies. Furthermore, we illustrate how motion can bias inference, using a study of brain development as an example. Finally, we highlight directions of ongoing and future research, and provide recommendations for investigators in the field. Hum Brain Mapp, 2017. © 2017 Wiley Periodicals, Inc.

DOI10.1002/hbm.23665
Alternate JournalHum Brain Mapp
PubMed ID29091315
Grant ListR01 EB022573 / EB / NIBIB NIH HHS / United States
R01 MH112847 / MH / NIMH NIH HHS / United States
R21 MH106799 / MH / NIMH NIH HHS / United States
R01 MH101111 / MH / NIMH NIH HHS / United States
K01 MH102609 / MH / NIMH NIH HHS / United States
R01 HD086888 / HD / NICHD NIH HHS / United States
R01 MH107703 / MH / NIMH NIH HHS / United States