Yuehua Xu

This paper introduces FOCA, a framework to analyze spatial coordination of functional brain networks, revealing convergent and divergent patterns and their developmental origins.

The paper maps personalized functional topography in the neonatal human brain using neuroimaging data and links it to neurocognitive outcomes in early childhood.

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 neonatal brain connectome dynamics using resting-state fMRI and finds that these dynamics predict cognitive and language outcomes at age 2.

The paper shows that a sensorimotor-to-visual connectome gradient present at birth predicts cognitive outcomes at 2 years of age in preterm and term babies.

The paper examines the longitudinal development of brain network dynamics during childhood and adolescence, linking changes to gene expression profiles and ion transport-related genes.