The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
The influence of head motion on intrinsic functional connectivity MRI
Open accessAbstract
Functional connectivity MRI (fcMRI) has been widely applied to explore group and individual differences. A confounding factor is head motion. Children move more than adults, older adults more than younger adults, and patients more than controls. Head motion varies considerably among individuals within the same population. Here we explored the influence of head motion on fcMRI estimates. Mean head displacement, maximum head displacement, the number of micro movements (>0.1 mm), and head rotation were estimated in 1000 healthy, young adult subjects each scanned for two resting-state runs on matched 3T scanners. The majority of fcMRI variation across subjects was not linked to head motion. However, head motion had significant, systematic effects on fcMRI network measures. Head motion was associated with decreased functional coupling in the default and frontoparietal control networks--two networks characterized by coupling among distributed regions of association cortex. Other network measures increased with motion including estimates of local functional coupling and coupling between left and right motor regions--a region pair sometimes used as a control in studies to establish specificity. Comparisons between groups of individuals with subtly different levels of head motion yielded difference maps that could be mistaken for neuronal effects in other contexts. These effects are important to consider when interpreting variation between groups and across individuals.
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“Strict motion correction procedures were applied to resting state functional maps, due to the sensitivity of RSFC data to head motion (Power et al., 2012, Satterthwaite et al., 2012, Van Dijk et al., 2012).”
From Developmental sex differences in resting state functional connectivity of amygdala sub-regions (2015) · cites this paper as Van Dijk et al., 2012
In the citing paper
“head motion has become a substantial concern since 2012 when a trio of papers pointed to systematic motion-related artifacts in rs-fcMRI (Power et al., 2012; Satterthwaite et al., 2012; Van Dijk et al., 2012).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Van Dijk et al., 2012
In the citing paper
“researchers recently discovered that some functional connectivity analyses interpreted as demonstrating developmental increases in long-range connections during rest (i.e., independent from any task) were spurious effects of greater motion in younger participants [62,63], which were eliminated with appropriate controls for motion-induced artifacts.”
From Arrested development? Reconsidering dual-systems models of brain function in adolescence and disorders (2012) · cites this paper as [63]
In the citing paper
“Head motion, even of submillimeter magnitude, has been identified as a nonphysiological source of spurious variance in resting-state fMRI data (Power et al. 2012; Van Dijk et al. 2012; Satterthwaite et al. 2013).”
From Joint attention and brain functional connectivity in infants and toddlers (2017) · cites this paper as Van Dijk et al. 2012
In the citing paper
“The strength of long-range functional connectivity is underestimated in cases of increased head motion (Van Dijk et al., 2012)”
From Investigating functional brain network integrity using a traditional and novel categorical scheme for neurodevelopmental disorders (2019) · cites this paper as Van Dijk et al., 2012
In the citing paper
“One important source of artifactual variation in functional MRI is head motion (47).”
From Understanding heterogeneity in clinical cohorts using normative models: Beyond case-control studies (2016) · cites this paper as [47]
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The organization of the human cerebral cortex estimated by intrinsic functional connectivity
Thomas Yeo, B. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., Roffman, J. L., Smoller, J. W., Zöllei, L., Polimeni, J. R., et al. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00338.2011 · Cited by 9,182
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The organization of the human cerebellum estimated by intrinsic functional connectivity
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Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.018 · Cited by 7,429
The organization of the human cerebellum estimated by intrinsic functional connectivity
Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C., & Yeo, B. T. T. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00339.2011 · Cited by 7,304
Self-citationConn : A Functional Connectivity Toolbox for Correlated and Anticorrelated Brain Networks
Whitfield-Gabrieli, S., & Nieto-Castanon, A. (2012) · Brain Connectivity · doi:10.1089/brain.2012.0073 · Cited by 4,885
Methods to detect, characterize, and remove motion artifact in resting state fMRI
Power, J. D., Mitra, A., Laumann, T. O., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.08.048 · Cited by 3,748
Dynamic functional connectivity: Promise, issues, and interpretations
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Metadata
- Authors
- Van Dijk, K. R. A., Sabuncu, M. R., & Buckner, R. L.
- Affiliations
- Massachusetts General Hospital (US)
- Howard Hughes Medical Institute (US)
- Corresponding author
- Buckner, Randy L.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2012-01
- Volume
- 59
- Issue
- 1
- Pages
- 431-438
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC3683830
- OpenAlex
- W2132175842
- Cited by
- 2,344
- References
- 47
- Citations by year
- 2026: 59 · 2025: 80 · 2024: 85 · 2023: 107 · 2022: 126 · 2021: 141 · 2020: 174 · 2019: 234 · 2018: 184 · 2017: 191 · 2016: 214 · 2015: 238 · 2014: 206 · 2013: 203 · 2012: 92
- FWCI
- 82.44
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- NIA (AG021910, P41RR14074, K08MH067966)
- Howard Hughes Medical Institute
- Simons Foundation
- NIH (1KL2RR025757)
- Harvard University
- 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
- head movement, functional connectivity, resting-state fMRI, default mode network, frontoparietal network, functional coupling, micromotion, head rotation, interindividual variability, confounding
- MeSH terms
- Adolescent, Adult, Brain, Brain Mapping, Female, Head, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Motion, Movement, Neural Pathways, Young Adult
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