Exploring white matter functional networks in children with attention-deficit/hyperactivity disorder

作者：Xuan Bu, Kaili Liang, Qingxia Lin, Yingxue Gao, Andan Qian, Hong Chen, Wanying Chen, Meihao Wang, Chuang Yang, Xiaoqi Huang · 发表于：Brain Communications · 年份：2020 · DOI：10.1093/braincomms/fcaa113 · 被引用次数：24 · 研究领域：Functional Brain Connectivity Studies、Attention Deficit Hyperactivity Disorder、Advanced Neuroimaging Techniques and Applications

Attention-deficit/hyperactivity disorder has been identified to involve the impairment of large-scale functional networks within grey matter, and recent studies have suggested that white matter, which also encodes neural activity, can manifest intrinsic functional organization similar to that of grey matter. However, the alterations in white matter functional networks in attention-deficit/hyperactivity disorder remain unknown. We recruited a total of 99 children, including 66 drug-naive patients and 33 typically developing controls aged from 6 to 14, to characterize the alterations in functional networks within white matter in drug-naive children with attention-deficit/hyperactivity disorder. Using clustering analysis, resting-state functional MRI data in the white matter were parsed into different networks. Intrinsic activity within each network and connectivity between networks and the associations between network activity strength and clinical symptoms were assessed. We identified eight distinct white matter functional networks: the default mode network, the somatomotor network, the dorsal attention network, the ventral attention network, the visual network, the deep frontoparietal network, the deep frontal network and the inferior corticospinal-posterior cerebellum network. The default mode, somatomotor, dorsal attention and ventral attention networks showed lower spontaneous neural activity in patients. In particular, the default mode network and the somatomotor network ...