The BMIgap tool to quantify transdiagnostic brain signatures of current and future weight.

ABSTRACT: Understanding the neurobiological underpinnings of weight gain could reduce excess mortality and improve long-term trajectories of psychiatric disorders. Using brain scans from healthy individuals (n = 1,504), we trained a model to predict body mass index (BMI) and applied it to individuals with schizophrenia (n = 146), clinical high-risk states for psychosis (n = 213) and recent-onset depression (ROD, n = 200). We computed BMIgap (BMI_predicted - BMI_measured), interrogated its brain-level overlaps with schizophrenia and explored whether BMIgap predicted weight gain at the 1-year and 2-year follow-ups. Schizophrenia (BMIgap = 1.05 kg m^{- 2}) and clinical high-risk individuals (BMIgap = 0.51 kg m^{- 2})

SUBMITTER: Khuntia A 

PROVIDER: S-EPMC12589130 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature