Motion artifact in studies of functional connectivity: Characteristics and mitigation strategies
Open accessAbstract
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.
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Studies of the whole-brain functional connectome demonstrate a developmental trend toward segregation and integration.
“Studies of the whole-brain functional connectome demonstrate a trend towards ‘segregation’ (decrease in correlation strength between anatomically close regions) and ‘integration’ (increase in correlation strength between anatomically distant regions) across development (50,51).”
From Brain Mechanisms Supporting Flexible Cognition and Behavior in Adolescents With Autism Spectrum Disorder (2021) · cites this paper as [51]
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- Authors
- Satterthwaite, T. D., Ciric, R., Roalf, D. R., Davatzikos, C., Bassett, D. S., & Wolf, D. H.
- Affiliations
- University of Pennsylvania (US)
- Department of Psychiatry, Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania
- Corresponding author
- Satterthwaite, Theodore D.
- ORCID
- Venue
- Human Brain Mapping
- Publisher
- Wiley
- Published
- 2017-11
- Volume
- 40
- Issue
- 7
- Pages
- 2033-2051
- ISSN
- 1065-9471 (ISSN-L)
- 1097-0193
- PMC
- PMC5930165
- OpenAlex
- W2766922554
- Cited by
- 137
- References
- 85
- Citations by year
- 2026: 13 · 2025: 17 · 2024: 16 · 2023: 9 · 2022: 17 · 2021: 17 · 2020: 18 · 2019: 15 · 2018: 14 · 2017: 1
- FWCI
- 1.47
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Human Brain Mapping (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (R01MH107703, R01MH101111, R21MH106799, K01MH102609, R01EB022573)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- motion artifacts, functional connectivity, systematic bias, brain development, functional MRI, motion correction
- MeSH terms
- Brain, Brain Mapping, Humans, Magnetic Resonance Imaging, Motion, Nerve Net, Artifacts, Head Movements
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