Shaomin Zhang

This paper introduces fOCTA-rNVC, a functional OCT angiography method that detects premotor Parkinson's disease by measuring retinal capillary neurovascular coupling changes, achieving 100% accuracy with minimal midbrain dopaminergic neuron loss.

This study shows that combining reactivation-based learning with anodal tDCS in visual cortex enables complete learning generalization with fewer trials than conventional methods.