Abnormal dynamics of brain functional networks in children with Tourette syndrome. (March 2023)

• Record Type: Journal Article
• Authors: Xin, Xiaoyang; Feng, Yixuan; Lou, Yuting; Feng, Jianhua; Gao, Xiaoqing
• Is Part Of: Journal of psychiatric research. Volume 159(2023)
• Page Start: 249
• Page End: 257
• Publication Date: 2023-03
• Subjects: Tourette syndrome -- Dynamic functional connectivity -- Resting-state functional magnetic resonance imaging -- Graph theory -- Independent component analysis; TS Tourette syndrome -- dFC Dynamic functional connectivity -- rfMRI Resting-state functional magnetic resonance imaging; Psychiatry -- Periodicals; Mental Disorders -- Periodicals; Maladies mentales -- Périodiques; Psychiatry; Electronic journals; Periodicals; 616.89005
• DOI: 10.1016/j.jpsychires.2023.01.046
• Languages: English
• ISSNs: 0022-3956

Abstract

Abstract: Tourette syndrome (TS) is a childhood-onset neurodevelopmental disorder characterized by the presence of multiple motor and vocal tics. Research using resting-state functional magnetic resonance imaging (rfMRI) have found aberrant static functional connectivity (FC) and its topological properties in the brain networks of TS. Our study is the first to investigate the dynamic functional connectivity (dFC) in the whole brain network of TS patients, focusing on the temporal properties of dFC states and the temporal variability of topological organization. The rfMRI data of 36 male children with TS and 27 matched healthy controls were collected and further analyzed by group spatial independent component analysis, sliding windows approach based dFC analysis, k-means clustering analysis, and graph theory analysis. The clustering analysis identified three dFC states. Of these states, state 2, characterized by increased inter-network connections in subcortical network (SCN), sensorimotor network (SMN), and default mode network (DMN), and decreased inter-network connections between salience network (SAN) and executive control network (ECN), was found to have higher fractional window and dwell time in TS, which was also positively correlated with tic severity. TS patients also exhibited higher temporal variability of whole-brain-network global efficiency and local efficiency, and higher temporal variability of nodal efficiency and local efficiency in SCN, DMN, ECN, SAN, and SMN. Additionally, temporal variability of the efficiency and local efficiency in insula was positively correlated with tic severity. Our findings revealed abnormal temporal property of dFC states and temporal variability of topological organization in TS, providing new insights into clinical diagnoses and neuropathology of TS.