Affiliation:
1. Taiyuan University of Technology, Shanxi, China
Abstract
Objective: Brain network studies have revealed that the community structure of ADHD is altered. However, these studies have only focused on modular community structure, ignoring the core–periphery community structure. Method: This paper employed the weighted stochastic block model to divide the functional connectivity (FC) into 10 communities. And we adopted core score to define the core–periphery structure of FC. Finally, connectivity strength (CS) and disruption index (DI) were used to evaluate the changes of core–periphery structure in ADHD. Results: The core community of visual network showed reduced CS and a positive value of DI, while the CS of periphery community was enhanced. In addition, the interaction between core communities (involving the sensorimotor and visual network) and periphery community of attention network showed increased CS and a negative valve of DI. Conclusion: Anomalies in core–periphery community structure provide a new perspective for understanding the community structure of ADHD.
Subject
Clinical Psychology,Developmental and Educational Psychology