Xiaowei Gao

This study examines how language network dynamics change after stroke, showing initial disruptions that normalize over time with recovery.

NaDyNet provides a toolbox for dynamic network analysis of naturalistic stimuli, offering methods to isolate and analyze brain responses in real-time.

This study examines how cortical language network dynamics change after basal ganglia and thalamus stroke, finding normalization toward sub-optimal domain-segregation patterns during recovery.

The paper examines age-related changes in language network dynamics in autism, finding altered connectivity patterns linked to verbal IQ and communication, but not social behavior.