Beyond Anatomy: Explainable ASD Classification from rs-fMRI via Functional Parcellation and Graph Attention Networks
Authors: Syeda Hareem Madani, Noureen Bibi, Adam Rafiq Jeraj, Sumra Khan, Anas Zafar, Rizwan Qureshi
Source: arXiv 2603.02518
Key Findings Functional parcellation (MSDL atlas) in resting-state fMRI (rs-fMRI) data provides a 10.7% accuracy gain (from 73.3% to 84.0%) for Autism Spectrum Disorder (ASD) classification compared to traditional anatomical (AAL) atlases, ...
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2026-03-06