Zhang, Xun, Yang, Xun, Wu, Baolin, Pan, Nanfang, He, Min, Wang, Song, Kemp, Graham J 
ORCID: 0000-0002-8324-9666 and Gong, Qiyong
(2023)
Large-scale brain functional network abnormalities in social anxiety disorder.
PSYCHOLOGICAL MEDICINE, 53 (13).
pp. 6194-6204.
Abstract
<h4>Background</h4>Although aberrant brain regional responses are reported in social anxiety disorder (SAD), little is known about resting-state functional connectivity at the macroscale network level. This study aims to identify functional network abnormalities using a multivariate data-driven method in a relatively large and homogenous sample of SAD patients, and assess their potential diagnostic value.<h4>Methods</h4>Forty-six SAD patients and 52 demographically-matched healthy controls (HC) were recruited to undergo clinical evaluation and resting-state functional MRI scanning. We used group independent component analysis to characterize the functional architecture of brain resting-state networks (RSNs) and investigate between-group differences in intra-/inter-network functional network connectivity (FNC). Furtherly, we explored the associations of FNC abnormalities with clinical characteristics, and assessed their ability to discriminate SAD from HC using support vector machine analyses.<h4>Results</h4>SAD patients showed widespread intra-network FNC abnormalities in the default mode network, the subcortical network and the perceptual system (i.e. sensorimotor, auditory and visual networks), and large-scale inter-network FNC abnormalities among those high-order and primary RSNs. Some aberrant FNC signatures were correlated to disease severity and duration, suggesting pathophysiological relevance. Furthermore, intrinsic FNC anomalies allowed individual classification of SAD <i>v.</i> HC with significant accuracy, indicating potential diagnostic efficacy.<h4>Conclusions</h4>SAD patients show distinct patterns of functional synchronization abnormalities both within and across large-scale RSNs, reflecting or causing a network imbalance of bottom-up response and top-down regulation in cognitive, emotional and sensory domains. Therefore, this could offer insights into the neurofunctional substrates of SAD.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Functional network connectivity, independent component analysis, magnetic resonance imaging, psychoradiology, resting-state networks, social anxiety disorder, support vector machine |
| Divisions: | Faculty of Health and Life Sciences 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: | 12 May 2023 15:42 |
| Last Modified: | 31 Oct 2023 13:03 |
| DOI: | 10.1017/S0033291722003439 |
| Open Access URL: | http://doi.org/10.1017/S0033291722003439 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3170274 |
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