A Bayesian perspective on sensory and cognitive integration in pain perception and placebo analgesia.

A Bayesian perspective on sensory and cognitive integration in pain perception and placebo analgesia.
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DOI:
10.1371/journal.pone.0117270
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发表时间:
2015
期刊:
影响因子:
3.7
通讯作者:
Zanon M
Zanon M
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Anchisi D;Zanon M

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安慰剂效应是任何治疗(有效或无效)反应的组成部分,但我们仍然忽略了它存在的原因。我们认为,安慰剂止痛是痛觉的一个方面,其他方面是情绪、认知和过去经验的调节作用,我们认为对疼痛的计算理解可能为这些现象提供一个统一的解释。在这里,我们展示了贝叶斯决策理论如何解释这些特征,并描述了一个针对实验数据进行测试的疼痛模型。我们的模型不仅与安慰剂止痛法一致,而且还预测学习会以其他意想不到的方式影响疼痛感知,这一点得到了实验证据的支持。最后,该模型还可以反映疼痛感知所使用的策略,表明不同因素的调节是疼痛过程的内在机制。
The placebo effect is a component of any response to a treatment (effective or inert), but we still ignore why it exists. We propose that placebo analgesia is a facet of pain perception, others being the modulating effects of emotions, cognition and past experience, and we suggest that a computational understanding of pain may provide a unifying explanation of these phenomena. Here we show how Bayesian decision theory can account for such features and we describe a model of pain that we tested against experimental data. Our model not only agrees with placebo analgesia, but also predicts that learning can affect pain perception in other unexpected ways, which experimental evidence supports. Finally, the model can also reflect the strategies used by pain perception, showing that modulation by disparate factors is intrinsic to the pain process.
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