Predicting cognitive functioning in early psychosis: factors supporting and limiting generalizability of connectome-based models.

ABSTRACT: Cognitive impairment is a core, intractable aspect of psychotic disorders that impacts functional outcomes. Establishing reliable neural predictors of cognitive functioning at the individual level is an important goal of precision psychiatry and may accelerate personalized treatment development. Connectome-based predictive models (CPMs) have shown promise in identifying brain connectivity patterns that predict cognitive outcomes, however, such models do not produce accurate predictions for all individuals or groups, limiting their generalizability. Here, we used CPMs to identify brain network patterns predictive of cognitive functioning in patients with early psychosis and examined individual clinical and sociodemographic factors that may impact prediction accuracy. Leveraging the imaging

SUBMITTER: O'Neill AG 

PROVIDER: S-EPMC12133584 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature