Quanzheng Li

This paper develops a continuous resting-state EEG model to predict recovery from disorders of consciousness after acute brain injury, achieving high accuracy across multiple time horizons.

This paper quantifies functional brain connectomic changes in aMCI patients during cognitive training using a Gaussian embedding method, identifying key brain regions with significant variation.

This study uses multivariate pattern analysis on MEG data to show that gamma oscillations encode orientation information, with stronger decoding for cardinal than oblique orientations.