Large-scale brain functional network topology disruptions underlie symptom heterogeneity in children with attention-deficit/hyperactivity disorder

作者：Xing Qian, F. Xavier Castellanos, Lucina Q. Uddin, Beatrice Rui Yi Loo, Siwei Liu, Hui Li Koh, Xue Wei Wendy Poh, Daniel Fung, Cuntai Guan, Tih-Shih Lee, Choon Guan Lim, Juan Zhou · 发表于：NeuroImage Clinical · 年份：2018 · DOI：10.1016/j.nicl.2018.11.010 · 被引用次数：97 · 研究领域：Functional Brain Connectivity Studies、Attention Deficit Hyperactivity Disorder、Heart Rate Variability and Autonomic Control

Accumulating evidence suggests brain network dysfunction in attention-deficit/hyperactivity disorder (ADHD). Whether large-scale brain network connectivity patterns reflect clinical heterogeneity in ADHD remains to be fully understood. This study aimed to characterize the differential within- and between-network functional connectivity (FC) changes in children with ADHD combined (ADHD-C) or inattentive (ADHD-I) subtypes and their associations with ADHD symptoms. We studied the task-free functional magnetic resonance imaging (fMRI) data of 58 boys with ADHD and 28 demographically matched healthy controls. We measured within- and between-network connectivity of both low-level (sensorimotor) and high-level (cognitive) large-scale intrinsic connectivity networks and network modularity. We found that children with ADHD-C but not those with ADHD-I exhibited hyper-connectivity within the anterior default mode network (DMN) compared with controls. Additionally, children with ADHD-C had higher inter-network FC between the left executive control (ECN) and the salience (SN) networks, between subcortical and visual networks, and between the DMN and left auditory networks than controls, while children with ADHD-I did not show differences compared with controls. Similarly, children with ADHD-C but not ADHD-I showed lower network modularity compared with controls. Importantly, these observed abnormal inter-network connectivity and network modularity metrics were associated with Child Behavi...