Siyuan Liu

The paper examines cell type-specific sex effects on gene expression in autism and finds a stronger overlap with autism than schizophrenia.

This study identifies genetic maps of human sulcal complexity using rare and common variants, revealing new mechanistic pathways for cortical morphogenesis.

This study identifies sex-biased gene expression patterns across multiple cortical regions and cell types in the human brain using single-cell transcriptomics.

The paper analyzes functional divergence between X and Y gametologs across human tissues and finds that evolutionary distance correlates with functional divergence and sex-biased biology.

This study compares sex differences in brain anatomy between humans and mice using neuroimaging, finding partial conservation of volumetric sex differences in cortical regions.

The paper examines how different gene dosage disorders affect the human brain using multimodal neuroimaging, revealing diverse cortical changes and a shared vulnerability axis aligned with psychiatric disorders.

This paper integrates multiscale cortical biology by generating spatially dense gene expression maps from postmortem data, revealing transcriptional zones linked to microstructure and neuroimaging features.

This study compares the effects of sex chromosome trisomies on brain anatomy in humans and mice, finding species-specific patterns and some conserved regional impacts.

This study improves prime editing efficiency and flexibility by introducing tethered and split pegRNAs, achieving 2-4-fold higher mutation rates in cell lines.

This study maps resting-state functional connectivity changes in Klinefelter syndrome and links them to brain anatomy and psychopathology.

The paper links genetic risks to spatial brain vulnerabilities in neurodevelopmental disorders using neuroimaging and gene expression data.

This study examines how childhood socioeconomic status relates to brain morphology changes from age 5 to 25, finding consistent positive associations with brain volume and specific cortical and subcortical regions.

This paper introduces a spatial permutation framework to test the significance of overlap between brain maps and demonstrates its application to task-based activity, resting-state networks, and anatomical landmarks.

The paper finds that larger-brained humans show preferential expansion of fronto-parietal cortical networks and related subcortical regions, at the expense of primary sensory/motor systems.

The paper introduces morphometric similarity networks to map cortical organization and shows they predict cognitive variation across individuals.