Mapping ADHD Heterogeneity and Biotypes by Topological Deviations in Morphometric Similarity Networks

Can normative modeling of topological properties derived from brain morphometric similarity networks yield robust stratification biomarkers for pediatric populations with attention-deficit/hyperactivity disorder (ADHD)?This multisite case-control study included 1154 participants, characterizing ADHD heterogeneity through hub-centric topological deviations derived from morphometric similarity networks. Three distinct biotypes emerged, each exhibiting unique clinical-neural profiles with characteristic neurochemical and functional correlates, validated in an independent transdiagnostic cohort of 554 ADHD cases.The integration of normative modeling with heterogeneity through discriminative analysis (HYDRA) clustering yielded both dimensional and categorical insights into ADHD heterogeneity, thereby enhancing our understanding of the ADHD’s neurobiological complexity.

Corresponding Authors: Ying Chen, MD, PhD (chenying85285@163.com), and Qiyong Gong, MD, PhD (qiyonggong@hmrrc.org.cn), Department of Radiology, West China Xiamen Hospital of Sichuan University, No. 699 Jinyuan West Rd, Xiamen 361022, China.

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