Guosheng Ding

This study uses fMRI and HMM to analyze brain state dynamics during reading comprehension in children and adults, finding developmental differences in state transitions and their relation to reading performance.

The paper investigates how learning a second language affects the Visual Word Form Area (VWFA) by comparing brain responses to native and second language words in children at different literacy stages.

The paper develops population-specific brain charts for Chinese individuals, revealing distinct neurodevelopmental patterns compared to Western populations and showing better performance in predicting brain phenotypes.

The paper investigates how neural trajectories in latent spaces underpin natural language composition, revealing distinct coding strategies and syntactic relations in human neocortical responses.

This study uses fMRI and social transmission chains to examine how narrative structure and content are transmitted, finding that schematic transmission is more stable than paraphrastic transmission.

The paper uses Hidden Markov Modeling on fMRI data to show that brain state dynamics during spoken narrative comprehension involve a tripartite state space, with states linked to sensory-motor, temporal, and DMN regions, and predictive of comprehension scores.

The paper shows the default mode network (DMN) actively supports narrative speech comprehension, not just being suppressed, through neural couplings and hierarchical network interactions.

This study shows that older adults have reduced neural coupling with speakers during speech comprehension, which correlates with poorer speech understanding.

This study examines the neural mechanisms of reading acquisition and disabilities in French and Chinese children, finding similar brain circuits and activation patterns across writing systems.

The paper identifies a supramodal language network in the human brain using individual-specific activity patterns across different language modalities.