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“为什么他们不更‘喜欢’我?”:比较社会和货币奖励加工的时间进程。

"Why don't they 'like' me more?": Comparing the time courses of social and monetary reward processing.

机构信息

Department of Psychological Sciences, Purdue University, United States.

Department of Psychological Sciences, Purdue University, United States.

出版信息

Neuropsychologia. 2017 Dec;107:48-59. doi: 10.1016/j.neuropsychologia.2017.11.001. Epub 2017 Nov 9.

DOI:10.1016/j.neuropsychologia.2017.11.001
PMID:29104079
Abstract

Humans possess a strong tendency towards social affiliation and interpersonal interaction. Yet, we know far less about how rewards in one's social environment affect functioning as we do with other types of rewards, presumably due to the inherent complexity of measuring social phenomena in laboratory settings. Here, we adapted a social reward paradigm (social incentive delay [SID]) for use in event-related potential (ERP) research, enabling a direct comparison of social and monetary reward processing. We found that social and monetary rewards elicit comparable ERP latencies and scalp topographies across several processing stages (reward cue, outcome anticipation, and outcome evaluation), highlighting the possibility of a common neural network. We also found evidence of latent reward sensitivity, as analogous monetary and social ERPs were correlated and associations were uniquely driven by reward signals. The SID is a promising and viable paradigm that is capable of disentangling multiple stages of social reward processing. The capacity to measure social processes will be critical as we broaden efforts to incorporate multiple contexts in reward sensitivity, which will enable us to gain important new insights into human functioning and dysfunction.

摘要

人类具有强烈的社交倾向和人际互动需求。然而,我们对社交环境中的奖励如何影响功能的了解远不及其他类型的奖励,这可能是由于在实验室环境中测量社交现象的固有复杂性所致。在这里,我们改编了一种社交奖励范式(社交激励延迟 [SID]),用于事件相关电位(ERP)研究,使我们能够直接比较社交和金钱奖励处理。我们发现,社交和金钱奖励在几个处理阶段(奖励线索、结果预期和结果评估)中引起类似的 ERP 潜伏期和头皮地形图,突出了共同神经网络的可能性。我们还发现了潜在奖励敏感性的证据,因为类似的金钱和社会 ERP 是相关的,并且关联仅由奖励信号驱动。SID 是一种有前途且可行的范式,能够分解社交奖励处理的多个阶段。衡量社交过程的能力至关重要,因为我们将努力将多个情境纳入奖励敏感性中,这将使我们能够深入了解人类的功能和功能障碍。

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