Dynamic coarsened spatio-temporal graph convolutional networks for fMRI classification of addiction-induced sleep disorders
Abstract Substance Use Disorder (SUD) is frequently characterized by persistent sleep disturbances that hinder cognitive recovery. Accurately identifying these disruptions requires methods capable of tracking both spatial interactions and the temporal evolution of brain activity. While functional magnetic resonance ima...
Jiaqi Shen, Jiaying Meng, Jiusun Zeng et al.
· Biomedical Physics & Enginee... · 0 citations