Recent progress and outstanding issues in motion correction in resting state fMRI
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The purpose of this review is to communicate and synthesize recent findings related to motion artifact in resting state fMRI. In 2011, three groups reported that small head movements produced spurious but structured noise in brain scans, causing distance-dependent changes in signal correlations. This finding has prompted both methods development and the re-examination of prior findings with more stringent motion correction. Since 2011, over a dozen papers have been published specifically on motion artifact in resting state fMRI. We will attempt to distill these papers to their most essential content. We will point out some aspects of motion artifact that are easily or often overlooked. Throughout the review, we will highlight gaps in current knowledge and avenues for future research.
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Global signal regression is arguably the most effective motion-denoising technique currently available.
“The most contentious debate probably concerns the use of global signal regression (GSR) – arguably the most effective motion-denoising technique currently available (Burgess et al., 2016; Power et al., 2015; Yan et al., 2013).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Power et al., 2015
There is strong consensus about the importance of preventing head motion during acquisition and rigorously quantifying motion effects in study data.
“there is strong consensus about the importance of preventing head motion during acquisition and rigorously quantifying motion effects in study data (Goto et al., 2016; Power et al., 2015; Siegel et al., 2016).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Power et al., 2015
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Prenatal and postnatal maternal anxiety and amygdala structure and function in young children
Donnici, C., Long, X., Dewey, D., Letourneau, N., Landman, B., Huo, Y., & Lebel, C. (2021) · Scientific Reports · doi:10.1038/s41598-021-83249-2 · Cited by 54 · see citing works
Corticostriatal Circuits Encode the Subjective Value of Perceived Control
Wang, K. S., & Delgado, M. R. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz045 · Cited by 42 · see citing works
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The neural correlates of low social integration as a risk factor for suicide
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Motion correction and volumetric reconstruction for fetal functional magnetic resonance imaging data
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A fetal fMRI specific motion correction algorithm using 2<sup>nd</sup> order edge features
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- Authors
- Power, J. D., Schlaggar, B. L., & Petersen, S. E.
- Affiliations
- Washington University in St. Louis (US)
- Corresponding author
- Power, Jonathan D.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2015-01
- Volume
- 105
- Pages
- 536-551
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC4262543
- OpenAlex
- W2033865693
- Cited by
- 957
- References
- 55
- Citations by year
- 2026: 30 · 2025: 58 · 2024: 59 · 2023: 69 · 2022: 86 · 2021: 126 · 2020: 93 · 2019: 94 · 2018: 108 · 2017: 100 · 2016: 92 · 2015: 39 · 2012: 1
- FWCI
- 7.46
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (NS046424, F30 MH940322)
- Intellectual and Developmental Disabilities Research Center
- SecretarÃa de Educación Pública
- 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 correction, resting-state fMRI, head motion artifacts
- MeSH terms
- Brain, Brain Mapping, Humans, Magnetic Resonance Imaging, Nerve Net, Artifacts
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