Zhaowen Liu

VISGP identifies spatially variable genes and cellular interactions from spatial transcriptomics data, outperforming existing methods in detecting ligand-receptor pairs.

The paper identifies three depression subtypes using plasma proteomics, linked to inflammation, aging, and metabolic factors, with distinct clinical and neurobiological features.

The paper examines how static and dynamic structure-function coupling in the brain relates to cognitive decline and Alzheimer's risk in 34,067 adults.

The paper examines the association between psychiatric polygenic scores and healthcare utilization and comorbidity burden in individuals of European ancestry, finding significant links for major depressive disorder.

The paper models genetic relationships between cortical thickness and surface area using Genomic SEM, identifies gene categories associated with pleiotropy, and links these traits to psychiatric and cognitive outcomes.

This study uses T-SEM to identify gene expression patterns linked to genetic overlap and disorder-specific risk in psychiatric disorders, finding potential drug repurposing targets.

The paper maps dynamic brain lateralization patterns using resting-state fMRI data, revealing associations with cognitive functions and heritability.

The paper identifies shared circuit-level abnormalities between MECP2 transgenic monkeys and a subgroup of human autism patients, highlighting the need for a multimodal approach to study genetic effects in a primate model.

The paper identifies genes associated with dynamic brain network changes and links them to neuroplasticity processes, showing that temporal variability predicts cognitive outcomes.

The paper introduces a toolbox to generate functional and genetic annotations for neuroimaging data, demonstrating its utility in interpreting brain regions and psychiatric disorders.