Zheng Li

This paper develops and validates a scalp-based MRI-guided method for personalized TMS targeting, showing comparable performance to neuronavigation systems.

This paper introduces PMDF-TBA, a transcranial brain atlas for fNIRS that improves spatial localization by using group-averaged PMDFs from MRI data, outperforming single-head model approaches.

This study compares four scalp-based targeting methods for DLPFC TMS, finding CPC F3 offers best reliability and training efficacy despite slower speed than EEG cap.

This study proposes and validates a network-based model for optimizing TMS coil placement in psychiatric disorders by targeting disease-specific brain networks.