Exploring Dynamic Temporal-Topological Structure of Brain Network Within ADHD

Abstract

The brain is a complex network with an anatomical and functional organization. The brain organization of attention-deficit/hyperactivity disorder (ADHD) is still not well understood. We used complex network method to investigate ADHD subject's brain network during resting state. Our results show that the node degree, clustering coefficient, local efficiency and global efficiency dynamically evolve during resting state, modularity, and the results also show the stable difference in brain network topological structure of ADHD subjects compared with normal subjects. These results would suggest the important role of the dynamic temporal-topological structure of ADHD linking to underlying dysfunctional neuronal activity.