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Abstract #3607

Disrupted small-world networks in children with attention-deficit/hyperactivity disorder: a DTI-based network analysis

Liuhui Wu1, Yingqian Chen1, Shu Su1, Zhiyun Yang1, Yan Dai1, and Long Qian2
1Diagnostic Radiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China, 2MR Research, GE Healthcare, Beijing, China


Attention-deficit/hyperactivity disorder (ADHD) is the most common neurodevelopmental disorder in school-age children, the pathogenesis is still unclear. In current study, 49 pediatric with ADHD and 51 age- and gender-matched typically developing (TD) children were included. Diffusion tensor imaging (DTI) and graph theory approaches was used. At the global level, patients with ADHD showed increased characteristic Lp, γ, σ and decreased Eglob; regionally, altered nodal profiles were mainly in the default mode, central executive network and basal ganglia. In particular, nodal betweenness of left caudate was negatively associated with the clinical symptom severity.

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