Xiaoyu Tong

This study identifies early functional connectivity changes in MDD patients treated with antidepressants or placebo, revealing common and distinct treatment effects.

The paper uses deep learning to identify brain-behavior dimensions and biotypes in youth with ADHD and anxiety disorders, revealing distinct symptom profiles and brain development patterns.

This paper identifies two neurophysiology-informed symptom dimensions in MDD using contrastive functional connectivity analysis of fMRI data.

The paper investigates neural dynamics in the limbic system of male mice during sexual and aggressive behaviors, identifying distinct network states associated with each behavior.

The paper identifies two EEG connectivity dimensions linked to ASD symptoms using contrastive learning and sparse canonical correlation analysis in 392 ASD samples.

This study uses a genetically encoded dopamine sensor to measure dopamine release in the nucleus accumbens during social behaviors in mice, revealing distinct patterns in different phases of social interaction.