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在威胁下快速连续运动中的运动错误背后存在无模型决策。

Model-free decision-making underlies motor errors in rapid sequential movements under threat.

作者信息

Sankhe Pranav, Haruno Masahiko

机构信息

Center for Information and Neural Networks, NICT, 1-4 Yamadaoka, Suita, Osaka, 565-0871, Japan.

Institute of Cognitive Neuroscience, University College London, 17-19 Queen Square, London, WC1N 3AZ, UK.

出版信息

Commun Psychol. 2024 Aug 27;2(1):81. doi: 10.1038/s44271-024-00123-3.

Abstract

Our movements, especially sequential ones, are usually goal-directed, i.e., coupled with task-level goals. Consequently, cognitive strategies for decision-making and motor performance are likely to influence each other. However, evidence linking decision-making strategies and motor performance remains elusive. Here, we designed a modified version of the two-step task, named the two-step sequential movement task, where participants had to conduct rapid sequential finger movements to obtain rewards (n = 40). In the shock session, participants received an electrical shock if they made an erroneous or slow movement, while in the no-shock session, they only received zero reward. We found that participants who prioritised model-free decision-making committed more motor errors in the presence of the shock stimulus (shock sessions) than those who prioritised model-based decision-making. Using a mediation analysis, we also revealed a strong link between the balance of the model-based and the model-free learning strategies and sequential movement performances. These results suggested that model-free decision-making produces more motor errors than model-based decision-making in rapid sequential movements under the threat of stressful stimuli.

摘要

我们的动作,尤其是连续动作,通常是目标导向的,即与任务层面的目标相关联。因此,决策和运动表现的认知策略可能会相互影响。然而,将决策策略与运动表现联系起来的证据仍然难以捉摸。在这里,我们设计了一个两步任务的修改版本,称为两步连续运动任务,参与者必须进行快速连续的手指运动以获得奖励(n = 40)。在有电击的环节中,如果参与者动作错误或缓慢,就会受到电击,而在无电击的环节中,他们只会得到零奖励。我们发现,与优先采用基于模型决策的参与者相比,优先采用无模型决策的参与者在有电击刺激(有电击环节)的情况下会犯更多的运动错误。通过中介分析,我们还揭示了基于模型和无模型学习策略的平衡与连续运动表现之间的紧密联系。这些结果表明,在有压力刺激的威胁下,无模型决策在快速连续运动中比基于模型决策产生更多的运动错误。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b7b/11347585/f9eb19d883e3/44271_2024_123_Fig1_HTML.jpg

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