Dynamic coarsened spatio-temporal graph convolutional networks for fMRI classification of addiction-induced sleep disorders
Substance use disorder is frequently characterized by persistent sleep disorders 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 imaging (fMRI) offers...
Jia-Qi Shen, Jia-Ying Meng, Jiu-Sun Zeng et al.
· Biomedical engineering and p... · 0 citations