Supervised machine learning classification of psychosis biotypes based on brain structure: findings from the Bipolar-Schizophrenia network for intermediate phenotypes (B-SNIP)
Abstract Traditional diagnostic formulations of psychotic disorders have low correspondence with underlying disease neurobiology.This has led to a growing interest in using brain-based biomarkers to capture biologically-informed psychosis constructs.Building upon our prior work on the B-SNIP Psychosis Biotypes, we aimed to examine whether structura