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Temporal Dynamics of the Neural Representation of Social Relationships
Journal of Neuroscience ( IF 5.3 ) Pub Date : 2020-11-18 , DOI: 10.1523/jneurosci.2818-19.2020
Sarah L. Dziura , James C. Thompson

Humans can rapidly encode information from faces to support social judgments and facilitate interactions with others. We can also recall complex knowledge about those individuals, such as their social relationships with others, but the time course of this process has not been examined in detail. This study addressed the temporal dynamics of emerging visual and social relationship information using EEG and representational similarity analysis. Participants (female = 23, male = 10) became familiar with a 10-person social network, and were then shown faces of that network's members while EEG was recorded. To examine the temporal dynamics of the cognitive processes related to face perception, we compared the similarity structure of neural pattern responses to models of visual processing, face shape similarity, person identity, and social relationships. We found that all types of information are associated with neural patterns after a face is seen. Visual models became significant early after image onset, and identity across a change in facial expression was uniquely associated with neural patterns at several points throughout the time course. Additionally, a model reflecting perceived frequency of social interaction was present beginning at ~110 ms, even in the absence of an explicit task to think about the relationships among the network members. This study highlights the speed and salience of social information relating to group dynamics that are present in the brain during person perception.

SIGNIFICANCE STATEMENT We live our lives in social groups where complex relationships form among and around us. It is likely that some of the information about social relationships that we observe is integral during person perception, to better help us interact in differing situations with a variety of people. However, when exactly this information becomes relevant has been unclear. In this study, we present evidence that information reflecting observed relationships among a social network is spontaneously represented in whole-brain patterns shortly following presentation of a face. These results are consistent with neuroimaging studies showing spontaneous spatial representation of social network characteristics, and contribute novel insights into the timing of these neural processes.



中文翻译:

社会关系的神经表征的时间动态

人类可以快速编码面部信息,以支持社会判断并促进与他人的互动。我们还可以回忆起有关这些人的复杂知识,例如他们与他人的社会关系,但是尚未详细研究此过程的时间过程。这项研究使用脑电图和表示相似性分析解决了新兴的视觉和社会关系信息的时间动态。参与者(女性= 23,男性= 10)熟悉10人社交网络,然后在记录EEG时向该参与者展示了该网络成员的面孔。为了检查与面部感知相关的认知过程的时间动态,我们比较了神经模式反应与视觉处理模型,面部形状相似性,人的身份,和社会关系。我们发现,看到面部后,所有类型的信息都与神经模式相关。视觉模型在图像发作后很早就变得很重要,并且在整个时间过程中的几个点上,面部表情变化中的身份独特地与神经模式相关。此外,即使没有明确的任务来考虑网络成员之间的关系,也可以在〜110 ms处开始建立反映社交互动感知频率的模型。这项研究强调了与人感知过程中大脑中存在的群体动力学有关的社会信息的速度和显着性。在整个时间过程中,面部表情变化中的身份与神经模式唯一相关。此外,即使没有明确的任务来考虑网络成员之间的关系,也可以从〜110 ms开始建立反映社交互动感知频率的模型。这项研究强调了与人感知过程中大脑中存在的群体动力学有关的社会信息的速度和显着性。在整个时间过程中,面部表情变化中的身份与神经模式唯一相关。此外,即使没有明确的任务来考虑网络成员之间的关系,也可以在〜110 ms处开始建立反映社交互动感知频率的模型。这项研究强调了与人感知过程中大脑中存在的群体动力学有关的社会信息的速度和显着性。

重要声明我们的生活生活在社会团体中,这些社会团体在我们之间及其周围形成复杂的关系。我们观察到的一些有关社会关系的信息可能在人的感知过程中是不可或缺的,以便更好地帮助我们在不同情况下与各种人互动。但是,尚不清楚该信息何时确切相关。在这项研究中,我们提供的证据表明,反映出社交网络之间观察到的关系的信息在出现面孔后不久即以全脑模式自发地表示。这些结果与神经影像学研究相一致,神经影像学研究显示了社交网络特征的自发性空间表现,并为这些神经过程的时间安排提供了新颖的见解。

更新日期:2020-11-19
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