Zhiqiang Sha

This study identifies shared genetic loci between psychiatric disorders and cortical brain structure using genome-wide association data from over 700,000 individuals.

This paper presents a normative framework for brain asymmetry across the lifespan using a large neuroimaging dataset, revealing distinct spatial patterns and providing tools for clinical and research applications.

The paper uses imaging genetics to analyze functional connectivity in language networks, identifying genetic loci linked to language abilities, dyslexia, and handedness.

The paper identifies region-specific laminar gene expression patterns in language-related cortical areas and links them to structural connectivity and dyslexia risk.

This study identifies copy number variants (CNVs) associated with child psychopathology and cognitive function using data from the ABCD study.

The paper analyzes cortical asymmetry across age and datasets, finding stable areal asymmetry and developmental changes in thickness asymmetry, with genetic and phenotypic associations.

The paper identifies 355 genomic loci associated with white matter connectivity in the human brain, linking them to neurodevelopmental processes and polygenic risk for brain disorders.

The paper examines hemispheric asymmetry in structural covariance networks in ASD across 43 datasets, finding altered topological features in specific brain regions.

The paper associates left-handedness with structural brain asymmetries in specific cortical regions using data from 31,864 individuals and identifies genetic links to these asymmetries.

The paper identifies 21 genetic loci associated with brain asymmetry using UK Biobank data and links them to microtubule-related genes and psychiatric traits.