Movement‐Related effects in fMRI time‐series
Abstract
This paper concerns the spatial and intensity transformations that are required to adjust for the confounding effects of subject movement during functional MRI (fMRI) activation studies. An approach is presented that models, and removes, movement‐related artifacts from fMRI time‐series. This approach is predicated on the observation that movement‐related effects are extant even after perfect realignment. Movement‐related effects can be divided into those that are a function of position of the object in the frame of reference of the scanner and those that are due to movement in previous scans. This second component depends on the history of excitation experienced by spins in a small volume and consequent differences in local saturation. The spin excitation history thus will itself be a function of previous positions, suggesting an autoregression‐moving average model for the effects of previous displacements on the current signal. A model is described as well as the adjustments for movement‐related components that ensue. The empirical analyses suggest that (in extreme situations) over 90% of fMRI signal can be attributed to movement, and that this artifactual component can be successfully removed.
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Subjects with a mean/maximum frame-wise displacement exceeding 0.6/3.0 mm were excluded.
“Subjects with a mean/maximum frame-wise displacement29, 69 exceeding 0.6/3.0 mm were excluded.”
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“Fourth, additionalmotion correction was carried out by regressing out three translational and three rotational motion parameters of each volume and its preceding volume as well as the square of each of these values (43).”
Method
- Authors
- Friston, K. J., Williams, S., Howard, R., Frackowiak, R. S. J., & Turner, R.
- Affiliations
- UCL Queen Square Institute of Neurology (GB)
- National Hospital for Neurology and Neurosurgery (GB)
- Corresponding author
- Friston, Karl J.
- Venue
- Magnetic Resonance in Medicine
- Publisher
- Wiley
- Published
- 1996-03
- Volume
- 35
- Issue
- 3
- Pages
- 346-355
- ISSN
- 0740-3194 (ISSN-L)
- 1522-2594
- OpenAlex
- W2005238835
- Cited by
- 3,774
- References
- 7
- Citations by year
- 2026: 216 · 2025: 313 · 2024: 286 · 2023: 287 · 2022: 328 · 2021: 294 · 2020: 286 · 2019: 228 · 2018: 194 · 2017: 188 · 2016: 143 · 2015: 110 · 2014: 75 · 2013: 70 · 2012: 55
- FWCI
- 40.96
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Magnetic Resonance in Medicine (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Max Planck Digital Library (submittedVersion)
- Research Portal (King's College London) (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Keywords
- subject motion, fMRI time series, motion correction, realignment, local saturation, ARMA models, artifact removal
- MeSH terms
- Brain, Humans, Magnetic Resonance Imaging, Male, Movement, Photic Stimulation, Psychomotor Performance, Artifacts
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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