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安慰剂镇痛:预测编码视角。

Placebo analgesia: a predictive coding perspective.

机构信息

Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany; Department of Psychology, Stanford University, Stanford, CA 94305, USA.

Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany.

出版信息

Neuron. 2014 Mar 19;81(6):1223-1239. doi: 10.1016/j.neuron.2014.02.042.

Abstract

This Perspective reviews recent findings in placebo hypoalgesia and provides a conceptual account of how expectations and experience can lead to placebo hypoalgesia. In particular, we put forward the idea that the ascending and the descending pain system resembles a recurrent system that allows for the implementation of predictive coding-meaning that the brain is not passively waiting for nociceptive stimuli to impinge on it but is actively making inferences based on prior experience and expectations. The Bayesian formulation within the predictive coding framework can directly account for differences in the magnitude but also the precision of expectations that are known to influence the strength of placebo hypoalgesia. We discuss how modulatory neurotransmitters such as opioids might be related to the characterization of expectations with an emphasis on the precision of these expectations. Finally, we develop experimental strategies that are suited to test this framework at the behavioral and neuronal level.

摘要

这篇观点文章回顾了近期关于安慰剂镇痛作用的发现,并提供了一种概念性的解释,说明期望和经验如何导致安慰剂镇痛作用。特别是,我们提出了这样一种观点,即上行和下行疼痛系统类似于一个递归系统,允许进行预测编码——这意味着大脑不是被动地等待伤害性刺激作用于它,而是根据先前的经验和期望主动进行推断。预测编码框架内的贝叶斯公式可以直接解释影响安慰剂镇痛作用强度的期望大小和精度的差异。我们讨论了调制神经递质(如阿片类物质)如何与期望的特征相关,重点是这些期望的精度。最后,我们制定了适合在行为和神经元水平上测试这一框架的实验策略。

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