Yini He

TransBrain translates brain-wide phenotypes between humans and mice, improving homology mapping and enabling cross-species analysis of brain organization and function.

PI-FC uses state-invariant contrastive learning to extract stable individual brain signatures from fMRI, improving phenotypic prediction accuracy and reducing scanning time across multiple datasets.

The paper proposes that neuroticism variability can be structured into two dimensions, one linked to longevity and the other to well-being, with distinct neural and genetic underpinnings.

This paper introduces STIM, a framework for analyzing brain dynamics during naturalistic stimuli, revealing individual differences in neural landscapes and their links to cognition and mental health.