Wen, Keren, Zhao, Youjin ORCID: 0000-0002-5018-6953, Zhang, Feifei, Lui, Su, Kemp, Graham J ORCID: 0000-0002-8324-9666 and Gong, Qiyong
(2022)
Large-scale dysfunctional white matter and grey matter networks in patients with social anxiety disorder.
ISCIENCE, 25 (10).
105094-.
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Abstract
Dysfunction of large-scale brain networks has been implicated in social anxiety disorder (SAD); most work has focused on grey matter (GM) functional connectivity (FC) abnormalities, whereas white matter (WM) FC alterations remain unclear. Here, using a K-means clustering algorithm, we obtained 8 GM and 10 WM functional networks from a cohort dataset (48 SAD patients and 48 healthy controls). By calculating and comparing FC matrices between SAD group and healthy controls, we demonstrated disrupted connections between the limbic and dorsal prefrontal, lateral temporal, and sensorimotor networks, and between the visual and sensorimotor networks. Furthermore, there were negative correlations between HAMD scores and limbic-dorsal prefrontal and limbic-sensorimotor networks, and between illness duration and sensorimotor-visual networks. These findings reflect the critical role of limbic network, with its extensive connections to other networks, and the neurobiology of disordered cognition processing and emotional regulation in SAD.
Item Type: | Article |
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Additional Information: | Source info: EBIOM-D-22-00055 |
Uncontrolled Keywords: | Clinical neuroscience, Cognitive neuroscience, Neuroscience, Psychiatry |
Divisions: | Faculty of Health and Life Sciences Faculty of Humanities and Social Sciences > School of Management Faculty of Health and Life Sciences > Faculty of Health and Life Sciences Faculty of Health and Life Sciences > Institute of Life Courses and Medical Sciences |
Depositing User: | Symplectic Admin |
Date Deposited: | 31 Oct 2022 15:30 |
Last Modified: | 08 Feb 2023 10:59 |
DOI: | 10.1016/j.isci.2022.105094 |
Open Access URL: | https://doi.org/10.1016/j.isci.2022.105094 |
Related URLs: | |
URI: | https://livrepository.liverpool.ac.uk/id/eprint/3165897 |