ArticleTranslational psychiatry2025
Identifying individuals at clinical high risk for psychosis using a battery of tasks sensitive to symptom mechanisms.
Article in Translational psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- The effect of monetary versus point-based rewards on effort-cost decision making in individuals at clinical high risk for psychosis.Schizophrenia research · 2026Trial
- The problem of recognition of clinical high-risk states is hampering the prevention of schizophrenia.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026Article
- Phantom vibrations: An understudied marker of clinical risk for psychosis.Schizophrenia research · 2026Article
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16 authors.
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Abstract
The clinical high risk for psychosis (CHR-P) population is important for understanding disease progression and treatment; however, standard approaches to identifying CHR-P individuals are expensive and labor-intensive. Focusing on neurocognitive mechanisms that underlie individual psychosis symptoms (positive, negative, and disorganization) may improve screening and identification. The present study examines whether a behavioral task battery that assays symptom mechanisms can identify CHR-P individuals and predict risk severity. Participants (N = 621) were recruited from clinics and the community as part of the Computerized Assessment of Psychosis Risk (CAPR) consortium study. Structured clinical interviews, a dimensional risk calculator, and behavioral tasks were administered. Clinical interviews identified the following groups: (a) CHR-P (n = 273), (b) non-CHR-P individuals with limited psychosis like experiences (PLEs; n = 120), (c) participants with mental disorders and no PLEs (CLN; n = 82), and (d) healthy controls (HC; n = 146). Multinomial logistic regression indicated that the task battery differentiated groups (p < 0.001), with utility for identifying CHR-P individuals (Sensitivity = 0.87, PPV = 0.51, NPV = 0.77), though with high false positives that varied based on comparison group (Specificity = 0.21-0.43). Tasks also predicted psychosis risk calculator scores (Adjusted R
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