Zhengcao Cao

This study investigates the Kuleshov effect using authentic films and fMRI, confirming its existence through behavioral and neural responses to face-scene-face sequences.

This study evaluates a personalized network targeting model for TMS in psychiatric disorders using rsfMRI data, finding that 28-minute scans and clustering improve site identification stability.

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

This paper introduces a scalp geometry parameter-space (SGP) that combines the advantages of coordinate-dependent and 10-20 systems for optimizing and implementing TMS coil placement.