2017
DOI: 10.1038/s41598-017-02277-z
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Aberrant functional connectivity in depression as an index of state and trait rumination

Abstract: Depression has been shown to be related to a variety of aberrant brain functions and structures. Particularly the investigation of alterations in functional connectivity (FC) in major depressive disorder (MDD) has been a promising endeavor, since a better understanding of pathological brain networks may foster our understanding of the disease. However, the underling mechanisms of aberrant FC in MDD are largely unclear. Using functional near-infrared spectroscopy (fNIRS) we investigated FC in the cortical parts… Show more

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Cited by 64 publications
(74 citation statements)
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“…Recent research indicates that only some depressed individuals report ruminating during resting-state scans. However, both state and trait measures of rumination have been found to be associated with functional connectivity (Kaiser et al, 2016;Rosenbaum et al, 2017). Accordingly, future studies should consider implementing a state measure of rumination assessing cognition during the resting-state scan to provide a link between the ruminative state and neural underpinnings during functional connectivity scans.…”
Section: Discussionmentioning
confidence: 99%
“…Recent research indicates that only some depressed individuals report ruminating during resting-state scans. However, both state and trait measures of rumination have been found to be associated with functional connectivity (Kaiser et al, 2016;Rosenbaum et al, 2017). Accordingly, future studies should consider implementing a state measure of rumination assessing cognition during the resting-state scan to provide a link between the ruminative state and neural underpinnings during functional connectivity scans.…”
Section: Discussionmentioning
confidence: 99%
“…For each item, subjects indicate the frequency of each event on a scale ranging from 0 ("almost never") to 3 ("almost always"), yielding a range of possible scores from 0-30. The brooding subscale has high reliability (a=0.77-0.92)(Erdur-Bakera & Bugaya, 2010), is well-validated within depressed populations (Treynor et al, 2003), decontaminated of any explicitly depressive content (Treynor et al, 2003), and the sub-scale of choice for most neurobiological studies of DR (Hamilton et al, 2011;Nejad et al, 2013;Ordaz et al, 2016;Rosenbaum et al, 2017;Southworth et al, 2017). For these reasons, we used the brooding subscale exclusively to measure DR.…”
Section: Depressive Rumination Measurementmentioning
confidence: 99%
“…Four IC's were manually identified as noise and removed from further examination. Of the remaining twenty-one networks, all were identified using visual inspection by way of reference to the 17 RSN's delineated by the Yeo et al 2011atlas (Yeo et al, 2011, thus allowing for identification of the three IC's of the triple-network that were introduced above -the pDMN (Hamilton et al, 2011;Rosenbaum et al, 2017), the coSN (Wu et al, 2016), and the fECN (Bernstein et al, 2017;Dutta et al, 2014;Watkins & Brown, 2002).…”
Section: Rsfmri: Group Independent-components Analysis (Ica) / Dual-rmentioning
confidence: 99%
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