Xiaobo Li

The paper uses ensemble learning on multimodal MRI data to identify biomarkers of pediatric TBI linked to psychopathology, finding a significant association in TBI patients.

This study examines neural network differences in children with binge eating compared to controls, finding altered efficiency and connectivity in inhibitory control brain regions.

GAT-FD is a MATLAB toolbox for analyzing task-related functional brain dynamics, enabling quantitative evaluation of functional network properties and their temporal changes.

This study identifies altered functional network properties in white and gray matter associated with attention deficits after traumatic brain injury.

This study uses ensemble learning techniques on multimodal neuroimaging data to predict adult outcomes in childhood ADHD, achieving improved classification performance for ADHD vs. controls and remitters vs. persisters.