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Pain perception as hierarchical Bayesian inference: A test case for the theory of constructed emotion
Annals of the New York Academy of Sciences ( IF 4.1 ) Pub Date : 2024-06-05 , DOI: 10.1111/nyas.15141
Arnaud Poublan-Couzardot 1 , Deborah Talmi 2
Affiliation  

An intriguing perspective about human emotion, the theory of constructed emotion considers emotions as generative models according to the Bayesian brain hypothesis. This theory brings fresh insight to existing findings, but its complexity renders it challenging to test experimentally. We argue that laboratory studies of pain could support the theory because although some may not consider pain to be a genuine emotion, the theory must at minimum be able to explain pain perception and its dysfunction in pathology. We review emerging evidence that bear on this question. We cover behavioral and neural laboratory findings, computational models, placebo hyperalgesia, and chronic pain. We conclude that there is substantial evidence for a predictive processing account of painful experience, paving the way for a better understanding of neuronal and computational mechanisms of other emotions.

中文翻译:


作为分层贝叶斯推理的疼痛感知:构建情感理论的测试用例



建构情感理论是关于人类情感的一个有趣的观点,根据贝叶斯大脑假说,将情感视为生成模型。该理论为现有发现带来了新的见解,但其复杂性使得实验测试具有挑战性。我们认为,疼痛的实验室研究可以支持该理论,因为尽管有些人可能不认为疼痛是一种真正的情绪,但该理论至少必须能够解释疼痛感知及其病理功能障碍。我们回顾了与这个问题相关的新证据。我们涵盖行为和神经实验室研究结果、计算模型、安慰剂痛觉过敏和慢性疼痛。我们的结论是,有大量证据表明对痛苦经历的预测处理说明,为更好地理解其他情绪的神经元和计算机制铺平了道路。
更新日期:2024-06-05
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