Tao Li

This study conducts a GWAS and cross-ethnic meta-analysis of schizophrenia phenotypes in Hong Kong Chinese and European populations, identifying genetic variants and building predictive models for clinical outcomes.

The paper identifies sgACC functional connectivity abnormalities in depression using large-scale brain imaging data and develops an individualized TMS targeting algorithm to improve treatment outcomes.

This study identifies 287 depression risk loci, 140 new, through cross-ancestry GWAS and integrates functional and pathway analyses to highlight potential therapeutic targets.

The paper performs long-read sequencing in 405 Chinese individuals to discover and characterize structural variants, finding novel SVs and their associations with phenotypes and diseases.

This paper identifies a common genetic factor across schizophrenia, bipolar disorder, and major depressive disorder using a trans-diagnostic, top-down approach, and links it to ZNF391 expression patterns in the brain that correlate with cognitive and neuroimaging traits.

This study uses two-sample Mendelian randomization to identify cytokines causally linked to schizophrenia and their effects on brain structure and function.

The paper analyzes resting-state fMRI data from 1,300 MDD patients and 1,128 controls to find reduced default mode network functional connectivity in recurrent MDD, not first-episode MDD.