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

Affiliation

Department of Psychology, Yale University, 2 Hillhouse Ave., New Haven, CT 06520-8205, United States; Department of Psychiatry, Yale University, 300 George St., New Haven, CT 06511, United States. Electronic address: [Email]

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,

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