Title | Motion artifact in studies of functional connectivity: Characteristics and mitigation strategies. |
Publication Type | Journal Article |
Year of Publication | 2019 |
Authors | Satterthwaite, TD, Ciric, R, Roalf, DR, Davatzikos, C, Bassett, DS, Wolf, DH |
Journal | Hum Brain Mapp |
Volume | 40 |
Issue | 7 |
Pagination | 2033-2051 |
Date Published | 2019 05 |
ISSN | 1097-0193 |
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, 40:2033-2051, 2019. © 2017 Wiley Periodicals, Inc. |
DOI | 10.1002/hbm.23665 |
Alternate Journal | Hum Brain Mapp |
PubMed ID | 29091315 |
PubMed Central ID | PMC5930165 |
Grant List | R01MH107703 / / National Institute of Health / International R01 EB022573 / EB / NIBIB NIH HHS / United States R01 MH112847 / MH / NIMH NIH HHS / United States R01MH101111 / / National Institute of Health / International R21 MH106799 / MH / NIMH NIH HHS / United States R01 MH101111 / MH / NIMH NIH HHS / United States R01EB022573 / / National Institute of Health / International K01 MH102609 / MH / NIMH NIH HHS / United States R01 HD086888 / HD / NICHD NIH HHS / United States R01 MH107703 / MH / NIMH NIH HHS / United States R21MH106799 / / National Institute of Health / International K01MH102609 / / National Institute of Health / International |