Volatility priors may reveal delusion severity in schizophrenia
Expectations of environmental instability declined alongside delusional symptoms during 6 months following an acute psychotic episode.
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By
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Andrea Surnit
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August 25, 2026
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Clinical Scorecard: Volatility priors may reveal delusion severity in schizophrenia
At a Glance
| Category | Detail |
|---|
| Condition | Schizophrenia-spectrum disorders |
| Key Mechanisms | Volatility priors as a state-sensitive marker of delusional thinking |
| Target Population | Patients recovering from acute psychotic episodes |
| Care Setting | Psychiatric treatment settings |
Key Highlights
- Higher volatility priors associated with greater delusion severity over 6 months
- Patients with schizophrenia had elevated volatility priors compared to nonclinical participants
- Clinician-rated delusion severity and self-reported paranoia decreased among patients
- Volatility priors tracked paranoia and delusional ideation longitudinally
- No significant associations found between volatility priors and depression or well-being
Guideline-Based Recommendations
Diagnosis
- Assess delusional thought content in patients with schizophrenia-spectrum disorders
Management
- Monitor volatility priors as a potential marker for delusion severity
Monitoring & Follow-up
- Evaluate changes in clinician-rated delusions and self-reported paranoia over time
Risks
- Consider potential confounding factors such as attrition and practice effects
Patient & Prescribing Data
Patients with schizophrenia-spectrum disorders experiencing acute psychotic episodes
Volatility priors may inform treatment strategies targeting delusions and paranoia
Clinical Best Practices
- Utilize probabilistic reversal-learning tasks to assess volatility priors
- Conduct longitudinal assessments to track changes in delusion severity and paranoia
- Incorporate findings from computational psychiatry into clinical evaluations
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