The association between social rewards and anxiety: Links from neurophysiological analysis in virtual reality and social interaction game

IF 4.7 2区 医学 Q1 NEUROIMAGING
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Abstract

Individuals’ affective experience can be intricate, influenced by various factors including monetary rewards and social factors during social interaction. However, within this array of factors, divergent evidence has been considered as potential contributors to social anxiety. To gain a better understanding of the specific factors associated with anxiety during social interaction, we combined a social interaction task with neurophysiological recordings obtained through an anxiety-elicitation task conducted in a Virtual Reality (VR) environment. Employing inter-subject representational similarity analysis (ISRSA), we explored the potential linkage between individuals’ anxiety neural patterns and their affective experiences during social interaction. Our findings suggest that, after controlling for other factors, the influence of the partner's emotional cues on individuals’ affective experiences is specifically linked to their neural pattern of anxiety. This indicates that the emergence of anxiety during social interaction may be particularly associated with the emotional cues provided by the social partner, rather than individuals’ own reward or prediction errors during social interaction. These results provide further support for the cognitive theory of social anxiety and extend the application of VR in future cognitive and affective studies.

社交奖励与焦虑之间的关联:虚拟现实和社交互动游戏中神经生理学分析的关联。
个人的情感体验可能是错综复杂的,受到各种因素的影响,包括社会交往中的金钱回报和社会因素。然而,在这一系列因素中,不同的证据被认为是导致社交焦虑的潜在因素。为了更好地了解社交互动过程中与焦虑相关的具体因素,我们将社交互动任务与在虚拟现实(VR)环境中进行的焦虑诱发任务所获得的神经生理学记录相结合。利用受试者间表征相似性分析(ISRSA),我们探索了个体的焦虑神经模式与他们在社交互动过程中的情感体验之间的潜在联系。我们的研究结果表明,在控制了其他因素之后,伴侣的情感暗示对个体情感体验的影响与个体的焦虑神经模式具体相关。这表明,社交焦虑的出现可能与社交伙伴提供的情感暗示特别相关,而不是个体自身在社交互动中的奖励或预测错误。这些结果进一步支持了社交焦虑的认知理论,并拓展了 VR 在未来认知和情感研究中的应用。
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来源期刊
NeuroImage
NeuroImage 医学-核医学
CiteScore
11.30
自引率
10.50%
发文量
809
审稿时长
63 days
期刊介绍: NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.
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