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道德、风险和模糊决策中任务参与和选择反应的不同神经网络:一项激活可能性估计元分析。

Distinct neural networks of task engagement and choice response in moral, risky, and ambiguous decision-making: An ALE meta-analysis.

作者信息

Ambrase Aiste, Müller Veronika I, Camilleri Julia A, Wong Hong Yu, Derntl Birgit

机构信息

Department of Psychiatry and Psychotherapy, Tübingen Centre for Mental Health, University of Tübingen, Tübingen, Germany.

Institute of Neuroscience and Medicine: Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany.

出版信息

Imaging Neurosci (Camb). 2024 Aug 30;2. doi: 10.1162/imag_a_00277. eCollection 2024.

Abstract

Moral, risky, and ambiguous decision-making are likely to be characterized by common and distinct cognitive processes and thus show partly overlapping neural correlates. Previously, two different analysis approaches have been used to assess the neural correlates in all three domains: (a) comparing general engagement in an experimental task versus a control task () or (b) comparing actual opposite choices made during the experimental task (). Several coordinate-based activation likelihood estimation meta-analyses were performed to delineate consistent activations across experiments of the two analysis categories and the different decision-making domains. Our results show thatandcapture different aspects of salience network involvement and reward-related striatum processing during decision-making. When assessing domains separately, we discovered that moral cues are processed in a multi-modal social cognition network, while risk and ambiguity require engagement of the salience and the frontoparietal attention networks. This is the first meta-analysis to disentangle the two analysis approaches yielding new insight into common and distinct neural correlates of different kinds of decision-making.

摘要

道德、风险和模糊决策可能具有共同且独特的认知过程特征,因此显示出部分重叠的神经关联。此前,两种不同的分析方法已被用于评估这三个领域中的神经关联:(a)比较实验任务与对照任务中的总体参与度()或(b)比较实验任务中实际做出的相反选择()。进行了几项基于坐标的激活可能性估计元分析,以描绘两个分析类别和不同决策领域的实验中的一致激活情况。我们的结果表明,并且在决策过程中捕捉到了显著性网络参与和奖励相关纹状体处理的不同方面。当分别评估各个领域时,我们发现道德线索在多模态社会认知网络中进行处理,而风险和模糊性则需要显著性和额顶叶注意力网络的参与。这是首次进行元分析以区分这两种分析方法,从而对不同类型决策的共同和独特神经关联产生新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e7f/12290865/9657606e6e19/imag_a_00277_fig1.jpg

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