A hierarchical graph learning framework for VR-based motor imagery decoding driven by MVMD and feature optimization.
VR-based AO+MI paradigm is found to enhance sensorimotor connectivity and promote large-scale network integration, indicating more coordinated neural dynamics during MI tasks, and a hierarchical graph learning framework tailored for VR-based MI decoding is proposed.