ReviewSchizophrenia research2022
The promise of layer-specific neuroimaging for testing predictive coding theories of psychosis.
Review in Schizophrenia research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
30 citing papers in PubMed.
- Errors or Adaptations? A Critical Review of Predictive Processing in Psychiatry.Behavioral sciences (Basel, Switzerland) · 2026Review
- Assessment of Sport-Related Brain Injuries with Rapid Objective Perimetry.Bioengineering (Basel, Switzerland) · 2026Article
- Predictive acoustical processing in human cortical layers.Nature communications · 2026Article
- Functional MRI of the Human Hippocampus at 10.5T: Pushing the Boundaries of Spatial Resolution.bioRxiv : the preprint server for biology · 2026Article
- Vision Fine-Tunes Predictions of Bimanual Self-Touch.The European journal of neuroscience · 2026Article
- The phantastic organ: predictive processing in the brain.Frontiers in psychology · 2026Review
- The potential of laminar functional MRI in refining the understanding of epilepsy in humans.Brain : a journal of neurology · 2025Review
- Electroencephalography Alpha Traveling Waves as Early Predictors of Treatment Response in Major Depressive Episodes: Insights from Intermittent Photic Stimulation.Biomedicines · 2025Article
- Predictive coding in psychopathology: mechanistic model or metaphorical re-description?Frontiers in human neuroscience · 2025Review
- The Future of Perceptual Dysregulation in Psychiatric Nosology.Current topics in behavioral neurosciences · 2025Review
- How Layer-Specific fMRI Can Contribute to Understanding Perceptual Disturbances Across Psychiatric Disorders.Current topics in behavioral neurosciences · 2025Review
- Closed-loop fMRI at the mesoscopic scale of columns and layers: Can we do it and why would we want to?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- Antipsychotic drugs selectively decorrelate long-range interactions in deep cortical layers.eLife · 2024Article
- Evidence for Reduced Sensory Precision and Increased Reliance on Priors in Hallucination-Prone Individuals in a General Population Sample.Schizophrenia bulletin · 2024Article
- A novel model of divergent predictive perception.Neuroscience of consciousness · 2024Article
- RDoC Framework Through the Lens of Predictive Processing: Focusing on Cognitive Systems Domain.Computational psychiatry (Cambridge, Mass.) · 2024Review
- Priors and prejudice: hierarchical predictive processing in intergroup perception.Frontiers in psychology · 2024Article
- Expectation Cues and False Percepts Generate Stimulus-Specific Activity in Distinct Layers of the Early Visual Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Review
- Bayesian accounts of perceptual decisions in the nonclinical continuum of psychosis: Greater imprecision in both top-down and bottom-up processes.PLoS computational biology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Predictive coding potentially provides an explanatory model for understanding the neurocognitive mechanisms of psychosis. It proposes that cognitive processes, such as perception and inference, are implemented by a hierarchical system, with the influence of each level being a function of the estimated precision of beliefs at that level. However, predictive coding models of psychosis are insufficiently constrained-any phenomenon can be explained in multiple ways by postulating different changes to precision at different levels of processing. One reason for the lack of constraint in these models is that the core processes are thought to be implemented by the function of specific cortical layers, and the technology to measure layer specific neural activity in humans has until recently been lacking. As a result, our ability to constrain the models with empirical data has been limited. In this review we provide a brief overview of predictive processing models of psychosis and then describe the potential for newly developed, layer specific neuroimaging techniques to test and thus constrain these models. We conclude by discussing the most promising avenues for this research as well as the technical and conceptual challenges which may limit its application.
Indexed as
Identifiers
What OpenQuestion holds
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.