Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland; email:
Faculty of Natural Science, University of Basel, Basel, Switzerland.
Annu Rev Neurosci. 2024 Aug;47(1):85-101. doi: 10.1146/annurev-neuro-100223-121214. Epub 2024 Jul 1.
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.
预测加工是一种计算框架，旨在通过对环境做出预测并最小化预测误差来解释大脑如何处理感觉信息。它也可以用来解释精神分裂症等精神障碍的一些关键症状。近年来，我们对皮层中预测加工所基于的神经元回路有了更深入的了解。在这篇综述中，我们总结了这些发现，以及它们如何与精神病和观察到的抗精神病药物对特定细胞类型的影响相关。我们认为，量化抗精神病药物对特定神经元回路元件的影响是一种很有前途的方法，不仅可以了解抗精神病药物的作用机制，还可以了解精神病。最后，我们概述了一些应该进行的关键实验。本综述的目的是提供一个当前基于回路的精神病学方法概述，并鼓励在这一方向上进行进一步的研究。
