Mapping Neurochemical Signatures onto Brain Structure for Neurotransmitter-Informed Discrimination of Schizophrenia Patients from Healthy Controls.

ABSTRACT:

Background

Schizophrenia (SCZ) is associated with widespread gray matter volume (GMV) reductions, yet the underlying mechanisms driving these alterations remain unclear. This study investigates whether SCZ-related GMV changes co-localize with normative neurotransmitter (NT) density maps derived from healthy individuals. We further examine the diagnostic utility and transdiagnostic relevance of these NT-informed structural patterns within a machine learning (ML) framework.

Methods

Structural imaging from 445 SCZ patients and 414 matched healthy controls (HC) were used to train two ML models: (1) an NT-informed model based on spatial cortical and subcortical correlations between GMV and 25 normative NT maps, and (2) an 'NT-unaware' control model using 50 principal components o

SUBMITTER: Hahn L 

PROVIDER: S-EPMC12704632 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature