2009
DOI: 10.1016/j.neuroimage.2009.05.005
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Correlations and anticorrelations in resting-state functional connectivity MRI: A quantitative comparison of preprocessing strategies

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Cited by 723 publications
(658 citation statements)
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“…Preprocessing of resting-state data was performed according to established empirically tested procedures (Weissenbacher et al, 2009). Brain extraction, affine registration to the subject's anatomical image, motion correction, and slicetiming correction were performed using FSL (FMRIB Software Library, FMRIB Centre, University of Oxford, UK).…”
Section: Preprocessingmentioning
confidence: 99%
See 1 more Smart Citation
“…Preprocessing of resting-state data was performed according to established empirically tested procedures (Weissenbacher et al, 2009). Brain extraction, affine registration to the subject's anatomical image, motion correction, and slicetiming correction were performed using FSL (FMRIB Software Library, FMRIB Centre, University of Oxford, UK).…”
Section: Preprocessingmentioning
confidence: 99%
“…Masks of white matter and cerebrospinal fluid (CSF) created from the anatomical scans were 'eroded' by thresholding tissue probability at 80% for CSF and 90% for white matter to minimize the probability of including gray matter (nonwhite, non-CSF) voxels and applied to each functional scan to extract the average time-series for white matter and CSF. This approach was favored over regressing global mean signal because of the tendency of the latter to introduce spurious anti-correlations (Weissenbacher et al, 2009), distort group differences and correlation patterns (Saad et al, 2012), and remove the dominant signal from the networks of interest . These time-series and the motion parameters obtained from motion correction were included as regressors.…”
Section: Preprocessingmentioning
confidence: 99%
“…Although adjustment for global signals is controversial, we opted to take a conservative approach and control for physiological noise (Fox et al, 2009). This approach may protect against false positives but may introduce spurious negative correlations (Murphy et al, 2013;Weissenbacher et al, 2009), so our analysis focused only on changes in positive correlations.…”
Section: Berns Et Almentioning
confidence: 99%
“…However, it has also been claimed that regression of the global signal does not remove breathing artifacts from functional data and may introduce artificial anti-correlations (Anderson et al, 2011;Carbonell et al, 2011;Murphy et al, 2009;Weissenbacher et al, 2009; but also see Chang and Glover, 2009;Chai et al 2012). Furthermore, it has recently been shown that global signal removal decreases 1 year test-retest reliability of seed-based FC measures (Guo et al, 2012).…”
Section: Introductionmentioning
confidence: 99%