Weijie Huang

This study examines individual variability in human brain structural connectivity, finding higher variability in limbic regions and lower in sensorimotor areas, and proposes a model to predict cognition and generate individual brain maps.

This study examines how structural and functional brain connectivity develop and relates to cognitive functions and gene expression in humans.

DCP automates diffusion tensor imaging processing on Windows to construct brain structure networks, offering a GUI and integration of existing tools.

The paper uses diffusion tensor imaging and machine learning to predict cognitive decline rates in elderly individuals based on white matter network properties.