S. Kristian Hill

This study identifies three psychosis neurosubtypes using imaging data, showing distinct connectivity patterns and supporting their biological validity through relative alignment.

The paper analyzes psychosis biotypes using ancestry-adjusted polygenic risk scores and identifies genomic associations with specific biotypes in brain transcriptomes.

The paper identifies brain-wide bi-directional connectivity alterations in cortico-striato-cerebellar circuits in schizophrenia using resting-state fMRI and validates findings with clustering and classification methods.