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人际信任的分层神经预测。

Hierarchical Neural Prediction of Interpersonal Trust.

机构信息

School of Economics and Management, Fuzhou University, Fuzhou, 350108, China.

Institute of Psychological and Cognitive Sciences, Fuzhou University, Fuzhou, 350108, China.

出版信息

Neurosci Bull. 2021 Apr;37(4):511-522. doi: 10.1007/s12264-021-00628-5. Epub 2021 Feb 9.

Abstract

Exploring neural markers that predict trust behavior may help us to identify the cognitive process underlying trust decisions and to develop a new approach to promote interpersonal trust. It remains unknown how trust behavior may be predicted early in the decision process. We used electrophysiology to sample the brain activity while participants played the role of trustor in an iterative trust game. The results showed that during the trust generation stage, the trust condition led to higher frontocentral beta band activity related to cognitive inhibition compared to the distrust condition (item level). Moreover, individuals with higher frontocentral beta band activity were more likely to perform trust choices at the single-trial level (individual level). Furthermore, after receiving reciprocity feedback on trial, compared to the betrayal feedback and the distrust choice, the frontocentral beta band oscillation had a stronger predictive effect regarding trust choices on trial. These findings indicate that beta band oscillations during the decision generation stage contribute to subsequent trust choices.

摘要

探索预测信任行为的神经标志物可以帮助我们识别信任决策背后的认知过程,并开发促进人际信任的新方法。目前尚不清楚信任行为如何在决策过程的早期得到预测。我们使用电生理学技术在参与者进行迭代信任博弈时采样大脑活动。结果表明,在信任产生阶段,与不信任条件相比(项目水平),信任条件导致更高的额-中央β波段活动,与认知抑制有关(个体水平)。此外,个体的额-中央β波段活动越高,在单次试验水平上进行信任选择的可能性就越大。此外,在收到互惠性反馈后,与背叛反馈和不信任选择相比,额-中央β波段的振荡对试验中的信任选择具有更强的预测作用。这些发现表明,决策产生阶段的β波段振荡有助于后续的信任选择。

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Hierarchical Neural Prediction of Interpersonal Trust.人际信任的分层神经预测。
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