Chao Jiang

This paper shows that more surprising events cause whole-brain neural states to move further from non-surprise states, measured as boundary breakthrough depth in bits.

This study creates spatiotemporal transcriptomic maps of mouse brain after ICH to understand cellular responses and identify therapeutic targets.

The paper introduces a longitudinal dataset of school-age children and adolescents in China, detailing its design, sampling, and neuroimaging measurements.

The paper benchmarks ifNN methods to improve test-retest reliability of individual differences in spontaneous brain activity using the Human Connectome Project.

This study compares manual and automatic amygdala segmentation methods in children and adolescents, finding systematic volume differences and method-specific growth patterns.

The paper compares spontaneous cortical activity measurements across 3T and 7T MRI scanners, showing spatial-scale dependence and reliability differences.

DREAM is a toolbox for decoding brain rhythms that analyzes neural and neurobehavioral oscillations, revealing age and sex differences in head motion and frequency-specific reliability of neural oscillations.