Open AccessMotion artifact in studies of functional connectivity: Characteristics and mitigation strategies
Author(s) -
Satterthwaite Theodore D.,
Ciric Rastko,
Roalf David R.,
Davatzikos Christos,
Bassett Danielle S.,
Wolf Daniel H.
Publication year - 2019
Publication title -
human brain mapping
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.005
H-Index - 191
eISSN - 1097-0193
pISSN - 1065-9471
DOI - 10.1002/hbm.23665
Subject(s) - artifact (error) , motion (physics) , inference , psychology , cognitive psychology , hum , cognition , computer science , artificial intelligence , neuroimaging , strengths and weaknesses , neuroscience , physical medicine and rehabilitation , medicine , social psychology , art , performance art , art history
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.