Abnormalities in the structural covariance of emotion regulation networks in major depressive disorder

Wu, Huawang; Sun, Hui; Wang, Chao; Lin, Yongcheng; Li, Yilan; Peng, Hongjun; Lu, Xiaobing; Hu, Qingmao; Ning, Yuping; Jiang, Tianzi; Xu, Jinping; Wang, Jiaojian

doi:10.1016/j.jpsychires.2016.10.001

Cited by 49 publications

(32 citation statements)

References 45 publications

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“…Here we report a network (Component A) with similar topology extending beyond the caudate with extreme loading on Huntington's disease. In a separate study, Wu et al () investigated SCov in MDD within functional networks involved in emotion regulation. They observed a SCov increase of the right amygdala and right angular gyrus in MDD.…”

Section: Discussionmentioning

confidence: 99%

BrainMap VBM: An environment for structural meta‐analysis

Vanasse

Fox

Barron

et al. 2018

Human Brain Mapping

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The BrainMap database is a community resource that curates peer-reviewed, coordinate-based human neuroimaging literature. By pairing the results of neuroimaging studies with their relevant meta-data, BrainMap facilitates coordinate-based meta-analysis (CBMA) of the neuroimaging literature en masse or at the level of experimental paradigm, clinical disease, or anatomic location. Initially dedicated to the functional, task-activation literature, BrainMap is now expanding to include voxel-based morphometry (VBM) studies in a separate sector, titled: BrainMap VBM. VBM is a whole-brain, voxel-wise method that measures significant structural differences between or within groups which are reported as standardized, peak x-y-z coordinates. Here we describe BrainMap VBM, including the meta-data structure, current data volume, and automated reverse inference functions (region-to-disease profile) of this new community resource. CBMA offers a robust methodology for retaining true-positive and excluding false-positive findings across studies in the VBM literature. As with BrainMap's functional database, BrainMap VBM may be synthesized en masse or at the level of clinical disease or anatomic location. As a use-case scenario for BrainMap VBM, we illustrate a trans-diagnostic data-mining procedure wherein we explore the underlying network structure of 2,002 experiments representing over 53,000 subjects through independent components analysis (ICA). To reduce data-redundancy effects inherent to any database, we demonstrate two data-filtering approaches that proved helpful to ICA. Finally, we apply hierarchical clustering analysis (HCA) to measure network- and disease-specificity. This procedure distinguished psychiatric from neurological diseases. We invite the neuroscientific community to further exploit BrainMap VBM with other modeling approaches.

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Section: Discussionmentioning

confidence: 99%

BrainMap VBM: An environment for structural meta‐analysis

Vanasse

Fox

Barron

et al. 2018

Human Brain Mapping

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“…Furthermore, evidence from hemodialysis patients has shown altered amygdala-related functional connectivity Li et al, 2018). The amygdala plays a critical role in interactive processing of affective and cognitive networks based on shared underlying neuro-circuitry (Mechelli et al, 2005;Soriano-Mas et al, 2013;Wu et al, 2017). Simultaneously, brain vascular supply can be assessed by cerebral blood flow (CBF) computed from arterial spin labeling (ASL) .…”

Section: Introductionmentioning

confidence: 99%

Disturbed neurovascular coupling in hemodialysis patients

Jin

Wang

et al. 2020

PeerJ

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Background: Altered cerebral blood flow (CBF) and amplitude of low-frequency fluctuation (ALFF) have been reported in hemodialysis patients. However, neurovascular coupling impairments, which provide a novel insight into the human brain, have not been reported in hemodialysis patients. Methods: We combined arterial spin labeling (ASL) and blood oxygen level dependent (BOLD) techniques to investigate neurovascular coupling alterations and its relationships with demographic and clinical data in 46 hemodialysis patients and 47 healthy controls. To explore regional neuronal activity, ALFF was obtained from resting-state functional MRI. To measure cerebral vascular response, CBF was calculated from ASL. The across-voxel CBF-ALFF correlations for global neurovascular coupling and CBF/ALFF ratio for regional neurovascular coupling were compared between hemodialysis patients and healthy controls. Two-sample t-tests were used to compare the intergroup differences in CBF and ALFF. Multiple comparisons were corrected using a voxel-wise false discovery rate (FDR) method (P < 0.05). Results: All hemodialysis patients and healthy controls showed significant across-voxel correlations between CBF and ALFF. Hemodialysis patients showed a significantly reduced global CBF-ALFF coupling (P = 0.0011) compared to healthy controls at the voxel-level. Of note, decreased CBF/ALFF ratio was exclusively located in the bilateral amygdala involved in emotional regulation and cognitive processing in hemodialysis patients. In hemodialysis patients, the decreased CBF (right olfactory cortex, anterior cingulate gyrus and bilateral insula) and ALFF (bilateral precuneus and superior frontal gyrus) were mainly located in the default mode network and salience network-related regions as well as increased CBF in the bilateral thalamus. Conclusions: These novel findings reveal that disrupted neurovascular coupling may be a potential neural mechanism in hemodialysis patients.

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“…Recent studies have shown that MDD exhibits not only affective deficits, but also cognitive impairments and somatic symptoms, which are driven by different functional networks (Disner, Beevers, Haigh, & Beck, ; Drevets, ; Veer et al, ; Zhang et al, ). Increasingly, MDD is being recognized as a disorder of dysregulated interconnected brain networks, rather than a disruption in one single brain area (Wang, Hermens, Hickie, & Lagopoulos, ; Wu et al, ).…”

Section: Introductionmentioning

confidence: 99%

Functional reorganization of intra‐ and internetwork connectivity in major depressive disorder after electroconvulsive therapy

Wang

Wei

Wang

et al. 2017

Human Brain Mapping

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101

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Electroconvulsive therapy (ECT) is an effective and rapid treatment for major depressive disorder (MDD). However, the neurobiological underpinnings of ECT are still largely unknown. Recent studies have identified dysregulated brain networks in MDD. Therefore, we hypothesized that ECT may improve MDD symptoms through reorganizing these networks. To test this hypothesis, we used resting-state functional connectivity to investigate changes to the intra- and internetwork architecture of five reproducible resting-state networks: the default mode network (DMN), dorsal attention network (DAN), executive control network (CON), salience network (SAL), and sensory-motor network. Twenty-three MDD patients were assessed before and after ECT, along with 25 sex-, age-, and education-matched healthy controls. At the network level, enhanced intranetwork connectivities were found in the CON in MDD patients after ECT. Furthermore, enhanced internetwork connectivities between the DMN and SAL, and between the CON and DMN, DAN, and SAL were also identified. At the nodal level, the posterior cingulate cortex had increased connections with the left posterior cerebellum, right posterior intraparietal sulcus (rpIPS), and right anterior prefrontal cortex. The rpIPS had increased connections with the medial PFC (mPFC) and left anterior cingulate cortex. The left lateral parietal had increased connections with the dorsal mPFC (dmPFC), left anterior prefrontal cortex, and right anterior cingulate cortex. The dmPFC had increased connection with the left anterolateral prefrontal cortex. Our findings indicate that enhanced interactions in intra- and internetworks may contribute to the ECT response in MDD patients. These findings provide novel and important insights into the neurobiological mechanisms underlying ECT.

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Abnormalities in the structural covariance of emotion regulation networks in major depressive disorder

Cited by 49 publications

References 45 publications

BrainMap VBM: An environment for structural meta‐analysis

BrainMap VBM: An environment for structural meta‐analysis

Disturbed neurovascular coupling in hemodialysis patients

Functional reorganization of intra‐ and internetwork connectivity in major depressive disorder after electroconvulsive therapy

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