Minhui Ouyang

The paper identifies a spatiotemporal pattern of cerebral blood flow in infants that correlates with cortical specialization and developmental functioning.

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.

This study investigates infant cerebral blood flow dynamics and their role in the emergence of functional networks like the default-mode network using multi-modal MRI.

The paper uses diffusion MRI to predict 2-year-old neurodevelopmental outcomes from neonate cortical microstructure using support vector regression.

This paper introduces RNcut, a method for robust and homogeneous brain network parcellation in neonates and adults, showing improved performance over existing methods in simulated and real rs-fMRI data.

This study examines structural network maturation in preterm and term-born neonates using diffusion MRI, finding faster increases in hub and rich-club connectivity during the third trimester.