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Annual Review of Neuroscience

Volume 47, 2024

Predictive Processing: A Circuit Approach to Psychosis

  • Georg B. Keller1,2 and Philipp Sterzer3
  • 1Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland; email: [email protected] 2Faculty of Natural Science, University of Basel, Basel, Switzerland 3Department of Psychiatry, University of Basel, Basel, Switzerland
  • Vol. 47:85-101 (Volume publication date August 2024)
  • First published as a Review in Advance on February 29, 2024
  • Copyright © 2024 by the author(s).
    This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See credit lines of images or other third-party material in this article for license information.

Abstract

Predictive processing is a computational framework that aims to explain how the brain processes sensory information by making predictions about the environment and minimizing prediction errors. It can also be used to explain some of the key symptoms of psychotic disorders such as schizophrenia. In recent years, substantial advances have been made in our understanding of the neuronal circuitry that underlies predictive processing in cortex. In this review, we summarize these findings and how they might relate to psychosis and to observed cell type–specific effects of antipsychotic drugs. We argue that quantifying the effects of antipsychotic drugs on specific neuronal circuit elements is a promising approach to understanding not only the mechanism of action of antipsychotic drugs but also psychosis. Finally, we outline some of the key experiments that should be done. The aims of this review are to provide an overview of the current circuit-based approaches to psychosis and to encourage further research in this direction.

Keyword(s): antipsychotics, neuronal circuits, prediction errors, schizophrenia
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2024-08-08
2025-06-19
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Predictive Processing: A Circuit Approach to Psychosis
Annual Review of Neuroscience 47, 85 (2024); https://doi.org/10.1146/annurev-neuro-100223-121214
/content/journals/10.1146/annurev-neuro-100223-121214
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