ReviewBiological psychiatry global open science2024
Understanding Cognitive Behavioral Therapy for Psychosis Through the Predictive Coding Framework.
Review in Biological psychiatry global open science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Metacognitive training (MCT) for psychosis: a systematic review and grade recommendations.European psychiatry : the journal of the Association of European Psychiatrists · 2025Pooled it
- Prior Expectations of Volatility Following Psychotherapy for Delusions: A Randomized Clinical Trial.JAMA network open · 2025Trial
- Social expectations in early-stage psychosis: Less stereotypical facial expression predictions.Schizophrenia research. Cognition · 2026Article
- Neurotransmitters in memory destabilization: An integrative perspective framed by prediction error and novelty.Cognitive, affective & behavioral neuroscience · 2026Review
- Safety behaviors maintain persecutory ideation in individuals with psychotic disorders: evidence from an ecological momentary assessment study.Psychological medicine · 2026Article
- Examining sex as a potential moderator of metacognitive training for psychosis efficacy on cognitive insight and jumping to conclusions bias: Evidence from a large-scale harmonized database.Schizophrenia research. Cognition · 2026Article
- Relating latent factors of reasoning, affect, and cognition to the delusional experience.Schizophrenia (Heidelberg, Germany) · 2026Article
- Distress as a bridge to suicidality in schizophrenia spectrum disorders: a network-based intervention simulation study.Research square · 2026Article
- Effects of Cognitive Behavioral Therapy for Worry Versus Befriending Therapy in Individuals with Persecutory Delusions: A Randomized Trial.Schizophrenia bulletin open · 2026Article
- Review
- Effectiveness of Psychological Intervention Methods for the Management of Positive and Negative Symptoms in Schizophrenia Patients: A Systematic Review and Network Meta-analysis.Indian journal of psychological medicine · 2025Review
- Delusional Unreality and Predictive Processing.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Psychological treatments for persecutory delusions, particularly cognitive behavioral therapy for psychosis, are efficacious; however, mechanistic theories explaining why they work rarely bridge to the level of cognitive neuroscience. Predictive coding, a general brain processing theory rooted in cognitive and computational neuroscience, has increasing experimental support for explaining symptoms of psychosis, including the formation and maintenance of delusions. Here, we describe recent advances in cognitive behavioral therapy for psychosis-based psychotherapy for persecutory delusions, which targets specific psychological processes at the computational level of information processing. We outline how Bayesian learning models employed in predictive coding are superior to simple associative learning models for understanding the impact of cognitive behavioral interventions at the algorithmic level. We review hierarchical predictive coding as an account of belief updating rooted in prediction error signaling. We examine how this process is abnormal in psychotic disorders, garnering noisy sensory data that is made sense of through the development of overly strong delusional priors. We argue that effective cognitive behavioral therapy for psychosis systematically targets the way sensory data are selected, experienced, and interpreted, thus allowing for the strengthening of alternative beliefs. Finally, future directions based on these arguments are discussed.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.