Wei Wei

The paper investigates individual uniqueness in brain connectivity gradients using resting-state fMRI data, finding that network complexity and dispersion influence identification rates.

The paper identifies individualized functional connectivity markers in Parkinson's disease patients that predict both motor and mood symptoms using functional MRI data.

This study compares machine learning models using functional connectivity and its derivatives to predict schizophrenia, finding that raw connectivity outperforms low-dimensional features.