Qinmu Peng

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

This study correlates diffusion kurtosis imaging (DKI) measurements with neurofilament density in macaque brains, showing higher MK and ND in prefrontal/precentral-postcentral cortex compared to temporal cortex.

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.