Hang Yang

The paper identifies a spatiotemporal continuum of structural connectivity development in youth, showing a shift from sensorimotor to association connectivity around age 15 and its links to cognition and psychopathology.

The paper identifies a connectional axis of functional connectivity variability across the human connectome, showing its structural correlates, developmental changes, and link to cognitive performance.

The paper uses graph neural networks to predict functional connectivity from structural connectivity in human brain networks, finding strong group-common structure-function coupling with some individual-specific effects.

This paper estimates individual coactivation patterns from resting-state fMRI data to improve subject identification, finding that longer scan durations enhance reliability.

This study examines frequency-specific coactivation patterns in resting-state fMRI and finds altered patterns in schizophrenia, improving classification accuracy when combining slow-4 and slow-5 bands.

This study evaluates the reproducibility and generalizability of coactivation patterns (CAPs) in brain networks across multiple cohorts and finds altered dynamic states in schizophrenia.