Zhengjia Dai

This paper constructs sex-specific lifespan brain charts using neuroimaging data from 59,915 individuals, revealing dynamic sex differences in brain development and improving detection of neuropsychiatric abnormalities.

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 analyzes functional and structural MRI data from 33,250 individuals to map lifespan changes in the functional connectome, identifying key developmental stages and differences in neurological disorders.

This study examines how age affects overlapping functional modular organization in the human brain using resting-state fMRI data from a healthy cohort, finding age-related decreases in overlapping modularity and increases in overlapping nodes.

This study introduces a hybrid communication model for brain structural networks, showing it outperforms single-strategy models in predicting functional connectivity and reveals regional differences in routing preferences.

The paper investigates the relationship between gene expression and intersubject variability in intrinsic functional connectivity using fMRI and gene expression data.