Zhiwen Jiang

The paper presents a connection-level genetic atlas of human cortical functional connectivity, identifying genetic loci associated with resting and task states.

This paper maps genetic, proteomic, and metabolomic effects along human white-matter tracts using UK Biobank data, revealing localized associations with neurodegenerative and psychiatric traits.

This paper introduces CBSS, a framework for analyzing structural connectomes across multiple cohorts, showing its reliability and utility in cross-cohort diffusion MRI studies.

This paper introduces RVGA, a framework for efficient genome-wide association analysis in imaging genetics, identifying novel loci and genetic correlations in brain structures using UK Biobank data.

The paper identifies rare protein-coding variants associated with multi-organ MRI traits using exome-wide association analysis in the UK Biobank.

The paper investigates the genetic impact of the X-chromosome and sex differences in the human brain, identifying 72 genome-wide significant trait-locus pairs linked to brain-related disorders.

The paper identifies 60 genetic loci associated with brain ventricular and subcortical shape features using shape measures from over 45,000 UK Biobank and ABCD study subjects.

The paper evaluates seven circadian rhythm detection algorithms using empirical datasets and simulations, providing guidelines for selecting methods based on data characteristics.