Searching for Imaging Biomarkers of Psychotic Dysconnectivity.

ABSTRACT:

Background

Progress in precision psychiatry is predicated on identifying reliable individual-level diagnostic biomarkers. For psychosis, measures of structural and functional connectivity could be promising biomarkers given consistent reports of dysconnectivity across psychotic disorders using magnetic resonance imaging.

Methods

We leveraged data from four independent cohorts of patients with psychosis and control subjects with observations from approximately 800 individuals. We used group-level analyses and two supervised machine learning algorithms (support vector machines and ridge regression) to test within-, between-, and across-sample classification performance of white matter and resting-state connectivity metrics.

Results

Although we replicated group-level dif

SUBMITTER: Rodrigue AL 

PROVIDER: S-EPMC8206251 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature