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Effective Preprocessing Procedures Virtually Eliminate Distance-Dependent Motion Artifacts in Resting State FMRI
Joint Authors
Gotts, Stephen J.
Jo, Hang Joon
Saad, Ziad S.
Reynolds, Richard C.
Martin, Alex
Cox, Robert W.
Bandettini, Peter A.
Source
Journal of Applied Mathematics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-10
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Artifactual sources of resting-state (RS) FMRI can originate from head motion, physiology, and hardware.
Of these sources, motion has received considerable attention and was found to induce corrupting effects by differentially biasing correlations between regions depending on their distance.
Numerous corrective approaches have relied on the identification and censoring of high-motion time points and the use of the brain-wide average time series as a nuisance regressor to which the data are orthogonalized (Global Signal Regression, GSReg).
We replicate the previously reported head-motion bias on correlation coefficients and then show that while motion can be the source of artifact in correlations, the distance-dependent bias is exacerbated by GSReg.
Put differently, correlation estimates obtained after GSReg are more susceptible to the presence of motion and by extension to the levels of censoring.
More generally, the effect of motion on correlation estimates depends on the preprocessing steps leading to the correlation estimate, with certain approaches performing markedly worse than others.
For this purpose, we consider various models for RS FMRI preprocessing and show that the local white matter regressor (WMeLOCAL), a subset of ANATICOR, results in minimal sensitivity to motion and reduces by extension the dependence of correlation results on censoring.
American Psychological Association (APA)
Jo, Hang Joon& Gotts, Stephen J.& Reynolds, Richard C.& Bandettini, Peter A.& Martin, Alex& Cox, Robert W.…[et al.]. 2013. Effective Preprocessing Procedures Virtually Eliminate Distance-Dependent Motion Artifacts in Resting State FMRI. Journal of Applied Mathematics،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-509456
Modern Language Association (MLA)
Jo, Hang Joon…[et al.]. Effective Preprocessing Procedures Virtually Eliminate Distance-Dependent Motion Artifacts in Resting State FMRI. Journal of Applied Mathematics No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-509456
American Medical Association (AMA)
Jo, Hang Joon& Gotts, Stephen J.& Reynolds, Richard C.& Bandettini, Peter A.& Martin, Alex& Cox, Robert W.…[et al.]. Effective Preprocessing Procedures Virtually Eliminate Distance-Dependent Motion Artifacts in Resting State FMRI. Journal of Applied Mathematics. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-509456
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-509456