Correlations and anticorrelations in resting-state functional connectivity MRI: A quantitative comparison of preprocessing strategies

Weißenbacher, Andreas; Kasess, Christian H.; Gerstl, F.; Lanzenberger, Rupert; Moser, Ewald; Windischberger, Christian

doi:10.1016/j.neuroimage.2009.05.005

Cited by 743 publications

(674 citation statements)

References 28 publications

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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%

“…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%

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Altered Resting-State Functional Connectivity of Basolateral and Centromedial Amygdala Complexes in Posttraumatic Stress Disorder

Brown

LaBar²,

Haswell

et al. 2013

Neuropsychopharmacol

243

198

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The amygdala is a major structure that orchestrates defensive reactions to environmental threats and is implicated in hypervigilance and symptoms of heightened arousal in posttraumatic stress disorder (PTSD). The basolateral and centromedial amygdala (CMA) complexes are functionally heterogeneous, with distinct roles in learning and expressing fear behaviors. PTSD differences in amygdala-complex function and functional connectivity with cortical and subcortical structures remain unclear. Recent military veterans with PTSD (n ¼ 20) and matched trauma-exposed controls (n ¼ 22) underwent a resting-state fMRI scan to measure task-free synchronous blood-oxygen level dependent activity. Whole-brain voxel-wise functional connectivity of basolateral and CMA seeds was compared between groups. The PTSD group had stronger functional connectivity of the basolateral amygdala (BLA) complex with the pregenual anterior cingulate cortex (ACC), dorsomedial prefrontal cortex, and dorsal ACC than the trauma-exposed control group (po0.05; corrected). The trauma-exposed control group had stronger functional connectivity of the BLA complex with the left inferior frontal gyrus than the PTSD group (po0.05; corrected). The CMA complex lacked connectivity differences between groups. We found PTSD modulates BLA complex connectivity with prefrontal cortical targets implicated in cognitive control of emotional information, which are central to explanations of core PTSD symptoms. PTSD differences in resting-state connectivity of BLA complex could be biasing processes in target regions that support behaviors central to prevailing laboratory models of PTSD such as associative fear learning. Further research is needed to investigate how differences in functional connectivity of amygdala complexes affect target regions that govern behavior, cognition, and affect in PTSD.

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Section: Preprocessingmentioning

confidence: 99%

Section: Preprocessingmentioning

confidence: 99%

Altered Resting-State Functional Connectivity of Basolateral and Centromedial Amygdala Complexes in Posttraumatic Stress Disorder

Brown

LaBar²,

Haswell

et al. 2013

Neuropsychopharmacol

243

198

View full text Add to dashboard Cite

show abstract

“…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%

Short- and Long-Term Effects of a Novel on Connectivity in the Brain

et al. 2013

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We sought to determine whether reading a novel causes measurable changes in resting-state connectivity of the brain and how long these changes persist. Incorporating a within-subjects design, participants received restingstate functional magnetic resonance imaging scans on 19 consecutive days. First, baseline resting state data for a ''washin'' period were taken for each participant for 5 days. For the next 9 days, participants read 1/9th of a novel during the evening and resting-state data were taken the next morning. Finally, resting-state data for a ''washout'' period were taken for 5 days after the conclusion of the novel. On the days after the reading, significant increases in connectivity were centered on hubs in the left angular/supramarginal gyri and right posterior temporal gyri. These hubs corresponded to regions previously associated with perspective taking and story comprehension, and the changes exhibited a timecourse that decayed rapidly after the completion of the novel. Longterm changes in connectivity, which persisted for several days after the reading, were observed in bilateral somatosensory cortex, suggesting a potential mechanism for ''embodied semantics.''

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“…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%

Save the Global: Global Signal Connectivity as a Tool for Studying Clinical Populations with Functional Magnetic Resonance Imaging

et al. 2014

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The global signal is commonly removed from resting-state data, as it was presumed to reflect physiological noise. However, removal of the global signal is now under debate, as this signal may reflect important neuronal components, and its removal may introduce artifacts into the data. Here, we show that the functional connectivity (FC) of the global signal is of functional relevance, as it differentiates between schizophrenia patients and healthy controls during rest. We also demonstrate that other reported findings related to various clinical populations may actually reflect alternations in global signal FC. The evidence of the clinical relevance of the global signal propose its usage as a research tool, and extend previously reported perils of global signal removal in resting-state data of clinical populations.

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Correlations and anticorrelations in resting-state functional connectivity MRI: A quantitative comparison of preprocessing strategies

Cited by 743 publications

References 28 publications

Altered Resting-State Functional Connectivity of Basolateral and Centromedial Amygdala Complexes in Posttraumatic Stress Disorder

Altered Resting-State Functional Connectivity of Basolateral and Centromedial Amygdala Complexes in Posttraumatic Stress Disorder

Short- and Long-Term Effects of a Novel on Connectivity in the Brain

Save the Global: Global Signal Connectivity as a Tool for Studying Clinical Populations with Functional Magnetic Resonance Imaging

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