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Predictive Processing, Source Monitoring, and Psychosis
Annual Review of Clinical Psychology ( IF 18.4 ) Pub Date : 2017-05-08 00:00:00 , DOI: 10.1146/annurev-clinpsy-032816-045145
Juliet D. Griffin 1 , Paul C. Fletcher 1
Affiliation  

A comprehensive understanding of psychosis requires models that link multiple levels of explanation: the neurobiological, the cognitive, the subjective, and the social. Until we can bridge several explanatory gaps, it is difficult to explain how neurobiological perturbations can manifest in bizarre beliefs or hallucinations, or how trauma or social adversity can perturb lower-level brain processes. We propose that the predictive processing framework has much to offer in this respect. We show how this framework may underpin and complement source monitoring theories of delusions and hallucinations and how, when considered in terms of a dynamic and hierarchical system, it may provide a compelling model of several key clinical features of psychosis. We see little conflict between source monitoring theories and predictive coding. The former act as a higher-level description of a set of capacities, and the latter aims to provide a deeper account of how these and other capacities may emerge.

中文翻译:


预测处理,源监控和精神病

对精神病的全面理解需要建立模型,该模型将多种层次的解释联系起来:神经生物学的,认知的,主观的和社会的。除非我们能弥合几个解释性的鸿沟,否则很难解释神经生物学的扰动如何以怪异的信念或幻觉表现出来,或者外伤或社交逆境如何扰乱较低级的大脑过程。我们建议在这方面,预测处理框架可以提供很多帮助。我们展示了该框架如何支持和补充幻觉和幻觉的源监控理论,以及如何从动态和分级系统的角度考虑,为精神病的几个关键临床特征提供令人信服的模型。我们发现源监视理论与预测编码之间几乎没有冲突。

更新日期:2017-05-08
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