ReviewThe lancet. Psychiatry2024
A new predictive coding model for a more comprehensive account of delusions.
Review in The lancet. Psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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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.
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Who cites it
9 citing papers in PubMed.
- Anticipatory slow potentials before auditory feedback show posterior predominance but limited condition effects in speech-in-noise.IBRO neuroscience reports · 2026Article
- Social expectations in early-stage psychosis: Less stereotypical facial expression predictions.Schizophrenia research. Cognition · 2026Article
- Errors or Adaptations? A Critical Review of Predictive Processing in Psychiatry.Behavioral sciences (Basel, Switzerland) · 2026Review
- A review and integration of models on delusion maintenance.Psychological medicine · 2026Review
- Imposter in the brain: aetiological, clinical and neuroimaging characteristics of Capgras syndrome.Brain : a journal of neurology · 2026Article
- Exploring the autism and functional neurological disorder association: Considerations from biopsychosocial, neuropsychological and computational models.Autism : the international journal of research and practice · 2026Review
- Islands of Inference: A Neurodevelopmental Architecture for Fixed Delusions.Psychopathology · 2026Review
- Using machine learning to predict persecutory beliefs based on aetiological models of delusions identified in a systematic literature search.Communications psychology · 2025Article
- Depth inversion illusion and its relationship to positive symptoms in clinical and non-clinical voice hearers.Cognitive neuropsychiatry · 2025Article
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6 authors.
Funding
Abstract
Attempts to understand psychosis-the experience of profoundly altered perceptions and beliefs-raise questions about how the brain models the world. Standard predictive coding approaches suggest that it does so by minimising mismatches between incoming sensory evidence and predictions. By adjusting predictions, we converge iteratively on a best guess of the nature of the reality. Recent arguments have shown that a modified version of this framework-hybrid predictive coding-provides a better model of how healthy agents make inferences about external reality. We suggest that this more comprehensive model gives us a richer understanding of psychosis compared with standard predictive coding accounts. In this Personal View, we briefly describe the hybrid predictive coding model and show how it offers a more comprehensive account of the phenomenology of delusions, thereby providing a potentially powerful new framework for computational psychiatric approaches to psychosis. We also make suggestions for future work that could be important in formalising this novel perspective.
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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 OpenQuestion graph.