Zhiheng Qu

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.

This study identifies a triple network model involving the language, sensorimotor, and default mode networks during situationally simulated inner speech.

This study evaluates seven dynamic functional connectivity methods using simulation data, finding that enhanced versions outperform originals based on spatiotemporal association.