Xiaobo Liu

This paper introduces BrainMetaGCN, a memory-augmented graph learning framework for AMDD diagnosis using rs-fMRI, achieving better performance than baseline models.

This paper identifies data-driven spectral coordination modes in cortical dynamics, showing they are distinct from hierarchical gradients and reveal shared organizational patterns across scales.

This study shows that positive affect speeds up decision-making and changes neural patterns during social decisions, using music to induce emotion.

This paper uses MEG data to create cross-frequency neurophysiological gradients that represent cortical organization, showing alignment with known functional and structural axes and disruptions in Parkinson's disease.