Prediction, perception, and psychosis: Application of associative learning theories to schizophrenia research.

IF 1.6 4区 医学 Q3 BEHAVIORAL SCIENCES
Riria Suzuki, Yutaka Kosaki
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引用次数: 0

Abstract

In recent years, there have been significant advances in our understanding of the positive symptoms of schizophrenia, such as hallucinations and delusions. This progress has been significantly aided by the use of associative learning-based approaches in human subjects and preclinical animal models. Here, we first review experimental research focusing on the abnormal processing of absent stimuli using three different conditioning phenomena: conditioned hallucinations, mediated conditioning, and trace conditioning. We then review studies investigating the ability to reduce focal processing of physically present but informationally redundant stimuli using habituation, latent inhibition, and blocking. The results of these different lines of research are then summarized within the framework of Wagner's (1981) standard operating procedures model, an associative learning model with explicit reference to the internal representations of both present and absent stimuli. Within this framework, the central deficit associated with positive symptoms can be described as a failure to suppress the focal processing of both absent stimuli and present but irrelevant stimuli. This can explain the wide range of results obtained in different experimental settings. Finally, we briefly discuss the role of the hippocampus and its interaction with dopaminergic transmission in the emergence of such abnormal stimulus representations and learning. Overall, we hope that the theoretical framework and empirical findings offered by the associative learning approach will continue to facilitate and integrate analyses of schizophrenia conducted at the psychological and behavioral levels on the one hand, and at the neural and molecular levels on the other, by serving as a useful interface between them. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

预测、感知和精神病:联想学习理论在精神分裂症研究中的应用。
近年来,我们对幻觉和妄想等精神分裂症阳性症状的认识取得了重大进展。在人类受试者和临床前动物模型中使用基于联想学习的方法极大地促进了这一进展。在此,我们首先回顾了利用三种不同的条件反射现象(条件性幻觉、中介条件反射和追踪条件反射)对不存在的刺激进行异常处理的实验研究。然后,我们回顾了利用习惯化、潜在抑制和阻断来减少对物理上存在但信息上冗余的刺激的焦点处理能力的研究。然后,我们在瓦格纳(1981 年)的标准操作程序模型框架内总结了这些不同研究的结果,该模型是一个联想学习模型,明确参考了存在和不存在刺激的内部表征。在这一框架内,与阳性症状相关的中枢缺陷可被描述为未能抑制对不存在的刺激和存在但不相关的刺激的集中处理。这就可以解释在不同的实验环境下得到的各种结果。最后,我们简要讨论了海马体及其与多巴胺能传导的相互作用在出现这种异常刺激表征和学习中的作用。总之,我们希望联想学习方法所提供的理论框架和实证研究结果将继续促进和整合在心理和行为层面以及神经和分子层面对精神分裂症的分析,成为两者之间有用的接口。(PsycInfo Database Record (c) 2024 APA, 版权所有)。
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来源期刊
Behavioral neuroscience
Behavioral neuroscience 医学-行为科学
CiteScore
3.40
自引率
0.00%
发文量
51
审稿时长
6-12 weeks
期刊介绍: Behavioral Neuroscience publishes original research articles as well as reviews in the broad field of the neural bases of behavior.
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