Binke Yuan

This study investigates the functional roles and interactions of the left inferior frontal gyrus, posterior middle temporal gyrus, and dorsal medial prefrontal cortex in semantic control using fMRI and TMS.

This study uses dynamic meta-networking to identify distinct network correlates of positive and negative formal thought disorder in schizophrenia, showing treatment-related normalization.

This study identifies domain-specific language network degeneration in semantic dementia using a meta-networking framework, showing progressive atrophy beyond the anterior temporal lobe and its impact on language function.

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

This paper investigates the neural coding of articulatory dynamics during speech imagery and production, revealing a hierarchical spatiotemporal organization and developing a model to decode speech from neural signals.

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.

The paper identifies four low-dimensional states of resting-state language networks, showing domain-separated dynamics and cognitive relevance.