2020
DOI: 10.1016/j.jad.2020.05.058
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Connectomic signatures of working memory deficits in depression, mania, and euthymic states of bipolar disorder

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Cited by 24 publications
(13 citation statements)
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“…This study denotes a diminished global efficiency of the FPN in patients with MDD, but no whole-brain topology alteration was observed. Prior studies have suggested that WM deficits are common to affective and psychotic illnesses (Lewandowski et al, 2014), and we have reported altered whole-brain topology in schizophrenia and bipolar depression during WM processing in our prior work (Yang et al, 2020a, 2020b). The absence of the whole-brain connectomic deficits in MDD during task performance may underlie the smaller effect sizes of WM impairments in MDD compared with the other two mental disorders.…”
Section: Discussionsupporting
confidence: 51%
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“…This study denotes a diminished global efficiency of the FPN in patients with MDD, but no whole-brain topology alteration was observed. Prior studies have suggested that WM deficits are common to affective and psychotic illnesses (Lewandowski et al, 2014), and we have reported altered whole-brain topology in schizophrenia and bipolar depression during WM processing in our prior work (Yang et al, 2020a, 2020b). The absence of the whole-brain connectomic deficits in MDD during task performance may underlie the smaller effect sizes of WM impairments in MDD compared with the other two mental disorders.…”
Section: Discussionsupporting
confidence: 51%
“…In the construction process of functional connection matrix, we only concatenated the 80 fMRI volumes obtained under the four blocks of 2-back performance (He et al, 2012) in line with our prior works (Yang et al, 2020a, 2020b), for the 0-back is not considered to be a real WM task. The mean time series was extracted from each of the 264 nodes using 6 mm spheres defined by the Power atlas (Power et al, 2011).…”
Section: Methodsmentioning
confidence: 99%
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“…Network measures at each density (sparsity) were calculated on the 264×264 weighted adjacency matrices, which were acquired by thresholding the symmetric matrices at a series of network densities, ranging from top 10 to 50% of all connections, with 2% increments, in line with our prior studies. 27 , 29 The reason for choosing this density range is that network measures are less prone to non-biological artefacts and noise in this density range. 30 Negative correlations were set to zero, in line with other studies of functional connectome construction.…”
Section: Methodsmentioning
confidence: 99%
“…Nuisance covariates including 12 head motion parameters (6 head motions and their temporal first derivatives), global mean signals, white matter, and cerebrospinal fluid (CSF) signals were regressed out from the blood oxygen level-dependent (BOLD) signals. In line with our prior study, displaced volumes (framewise displacement > 0.5 mm) were interpolated by nearest-neighbor interpolation ( 29 ). The exclusion criteria for sample selection included: (1) Head motions larger than a 2.5-mm translation or 2.5° rotation in any direction; (2) More than 48 volumes were scrubbed (i.e., >20% of the acquired analysis); (3) Functional MRI (fMRI) data failed to normalize to MNI space which is visually inspected by an experienced data analyst.…”
Section: Methodsmentioning
confidence: 99%