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不确定性处理的不同计算机制解释了焦虑和冷漠中相反的探索行为。

Distinct Computational Mechanisms of Uncertainty Processing Explain Opposing Exploratory Behaviors in Anxiety and Apathy.

作者信息

Yan Xinyuan, Ebitz R Becket, Grissom Nicola, Darrow David P, Herman Alexander B

机构信息

Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, Minnesota.

Department of Neuroscience, Université de Montréal, Montreal, Quebec, Canada.

出版信息

Biol Psychiatry Cogn Neurosci Neuroimaging. 2025 Jan 11. doi: 10.1016/j.bpsc.2025.01.005.

Abstract

BACKGROUND

Decision making in uncertain environments can lead to varied outcomes, and how we process those outcomes may depend on our emotional state. Understanding how individuals interpret the sources of uncertainty is crucial for understanding adaptive behavior and mental well-being. Uncertainty can be broadly categorized into 2 components: volatility and stochasticity. Volatility describes how quickly conditions change. Stochasticity, on the other hand, refers to outcome randomness. We investigated how anxiety and apathy influenced people's perceptions of uncertainty and how uncertainty perception shaped explore-exploit decisions.

METHODS

Participants (N = 1001, nonclinical sample) completed a restless 3-armed bandit task that was analyzed using both latent state and process models.

RESULTS

Individuals with anxiety perceived uncertainty as resulting more from volatility, leading to increased exploration and learning rates, especially after reward omission. Conversely, individuals with apathy viewed uncertainty as more stochastic, resulting in decreased exploration and learning rates. The perceived volatility to stochasticity ratio mediated the anxiety-exploration relationship post adverse outcomes. Dimensionality reduction showed exploration and uncertainty estimation to be distinct but related latent factors shaping a manifold of adaptive behavior that is modulated by anxiety and apathy.

CONCLUSIONS

These findings reveal distinct computational mechanisms for how anxiety and apathy influence decision making, providing a framework for understanding cognitive and affective processes in neuropsychiatric disorders.

摘要

背景

在不确定环境中做出决策可能会导致不同的结果,而我们如何处理这些结果可能取决于我们的情绪状态。了解个体如何解释不确定性的来源对于理解适应性行为和心理健康至关重要。不确定性大致可分为两个组成部分:波动性和随机性。波动性描述条件变化的速度。另一方面,随机性指结果的随机性。我们研究了焦虑和冷漠如何影响人们对不确定性的认知,以及不确定性认知如何塑造探索-利用决策。

方法

参与者(N = 1001,非临床样本)完成了一项不停歇的三臂赌博任务,使用潜在状态和过程模型进行分析。

结果

焦虑个体认为不确定性更多源于波动性,导致探索和学习率增加,尤其是在奖励缺失后。相反,冷漠个体认为不确定性更具随机性,导致探索和学习率降低。在出现不利结果后,感知到的波动性与随机性比率介导了焦虑与探索之间的关系。降维显示探索和不确定性估计是塑造一系列适应性行为的不同但相关的潜在因素,这些行为受到焦虑和冷漠的调节。

结论

这些发现揭示了焦虑和冷漠影响决策的不同计算机制,为理解神经精神疾病中的认知和情感过程提供了一个框架。

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