Adding a neuroanatomical biomarker to an individualized risk calculator for psychosis: A proof-of-concept study

Schizophr Res. 2019 Jun;208:41-43. doi: 10.1016/j.schres.2019.01.026. Epub 2019 Feb 7.

Abstract

In a recent study, a neuroanatomical-based age prediction model observed neuromaturational deviance among clinical high-risk individuals who developed psychosis. Here we aimed to investigate whether incorporating "brain age gap" (discrepancy between neuroanatomical-based predicted age and chronological age) to the North American Prodromal Longitudinal Study risk calculator would enhance prediction of psychosis conversion. The effect of brain age gap was significant (HR = 1.21, P = 0.047), but its predictive variance was found to overlap entirely with age at ascertainment, consistent with the view that greater brain-age gap and earlier age at onset of prodromal symptoms are correlated indicators of insidious-onset forms of psychosis.

Keywords: Biomarker; Brain age; Clinical high risk; Psychosis prodrome; Risk calculator; Structural MRI.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Age Factors
  • Age of Onset
  • Biomarkers
  • Brain* / diagnostic imaging
  • Brain* / growth & development
  • Brain* / pathology
  • Child
  • Humans
  • Longitudinal Studies
  • Magnetic Resonance Imaging
  • Prodromal Symptoms*
  • Proof of Concept Study
  • Psychotic Disorders / diagnosis*
  • Psychotic Disorders / diagnostic imaging
  • Psychotic Disorders / pathology
  • Risk Assessment / methods*
  • Schizophrenia / diagnosis*
  • Schizophrenia / diagnostic imaging
  • Schizophrenia / pathology

Substances

  • Biomarkers