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人类小脑在奖励预期和结果处理中的作用:激活可能性估计荟萃分析。

The human cerebellum in reward anticipation and outcome processing: An activation likelihood estimation meta-analysis.

作者信息

Kruithof Eline S, Klaus Jana, Schutter Dennis J L G

机构信息

Department of Experimental Psychology, Helmholtz Institute, Utrecht University, Heidelberglaan 1, 3584 CS, Utrecht, the Netherlands.

Department of Experimental Psychology, Helmholtz Institute, Utrecht University, Heidelberglaan 1, 3584 CS, Utrecht, the Netherlands.

出版信息

Neurosci Biobehav Rev. 2023 Jun;149:105171. doi: 10.1016/j.neubiorev.2023.105171. Epub 2023 Apr 13.

DOI:10.1016/j.neubiorev.2023.105171
PMID:37060968
Abstract

The cerebellum generates internal prediction models and actively compares anticipated and actual outcomes in order to reach a desired end state. In this process, reward can serve as a reinforcer that shapes internal prediction models, enabling context-appropriate behavior. While the involvement of the cerebellum in reward processing has been established in animals, there is no detailed account of which cerebellar regions are involved in reward anticipation and outcome processing in humans. To this end, an activation likelihood estimation meta-analysis of functional neuroimaging studies was performed to investigate cerebellar functional activity patterns associated with reward anticipation and outcome processing in healthy adults. Results showed that reward anticipation (k = 31) was associated with regional activity in the bilateral anterior lobe, bilateral lobule VI, left Crus I and the posterior vermis, while reward outcome (k = 16) was associated with regional activity in the declive and left lobule VI. These findings demonstrate distinct involvement of the cerebellum in reward anticipation and outcome processing as part of a predictive coding routine.

摘要

小脑生成内部预测模型,并积极比较预期结果和实际结果,以达到期望的最终状态。在这个过程中,奖励可以作为一种强化物,塑造内部预测模型,从而产生适合情境的行为。虽然小脑在奖励处理中的作用在动物研究中已经得到证实,但目前尚无关于人类小脑哪些区域参与奖励预期和结果处理的详细描述。为此,我们进行了一项功能神经影像学研究的激活可能性估计元分析,以调查健康成年人中与奖励预期和结果处理相关的小脑功能活动模式。结果显示,奖励预期(k = 31)与双侧前叶、双侧小叶VI、左侧小脑脚I和小脑后蚓部的区域活动相关,而奖励结果(k = 16)与斜坡和左侧小叶VI的区域活动相关。这些发现表明,作为预测编码程序的一部分,小脑在奖励预期和结果处理中有着不同的参与。

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