Biotype Identification Based on Topological Deviations of Morphometric Similarity Network in ADHD

Brisbane Convention & Exhibition Centre 

Attention-Deficit/Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder characterized by considerable clinical heterogeneity across inattentive and hyperactive/impulsive symptom domains. Understanding the heterogeneous neural mechanisms underlying ADHD could enhance opportunities for individualized management. To this end, normative modeling offers an effective method for identifying individual deviations from typical development. While previous normative modeling studies on ADHD primarily focused on regional morphological alterations, how these alterations are coupled between regions is unclear. This study investigates whether a hub-oriented fusion framework-which integrates multimodal topological deviations in morphometric similarity networks based on normative modeling-can provide robust neuromarkers for ADHD subtyping.