Abnormal large-scale brain functional network dynamics in social anxiety disorder.

ABSTRACT:

Aims

Although static abnormalities of functional brain networks have been observed in patients with social anxiety disorder (SAD), the brain connectome dynamics at the macroscale network level remain obscure. We therefore used a multivariate data-driven method to search for dynamic functional network connectivity (dFNC) alterations in SAD.

Methods

We conducted spatial independent component analysis, and used a sliding-window approach with a k-means clustering algorithm, to characterize the recurring states of brain resting-state networks; then state transition metrics and FNC strength in the different states were compared between SAD patients and healthy controls (HC), and the relationship to SAD clinical characteristics was explored.

Results

Four distinct recurring s

SUBMITTER: Zhang X 

PROVIDER: S-EPMC11303268 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature