Journal
SCHIZOPHRENIA RESEARCH
Volume 208, Issue -, Pages 41-43Publisher
ELSEVIER
DOI: 10.1016/j.schres.2019.01.026
Keywords
Clinical high risk; Risk calculator; Brain age; Structural MRI; Psychosis prodrome; Biomarker
Categories
Funding
- National Institute of Mental Health at the National Institutes of Health [NIH 1R01MH107250-02:S1, MH081902, MH081857, MH081988, MH081928, MH082004, MH082022, MH081984, U01 MH076989]
- NIMH [P50 MH066286, R01MH107250-S1, P50 MH080272]
- Staglin Music Festival for Mental Health
- Commonwealth of Massachusetts [SCDMH82101008006]
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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 over-lap 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.
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