State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
School of Systems Science, Beijing Normal University, Beijing, China.
Elife. 2024 Jun 14;12:RP89025. doi: 10.7554/eLife.89025.
People form impressions about others during daily social encounters and infer personality traits from others' behaviors. Such trait inference is thought to rely on two universal dimensions: competence and warmth. These two dimensions can be used to construct a 'social cognitive map' organizing massive information obtained from social encounters efficiently. Originating from spatial cognition, the neural codes supporting the representation and navigation of spatial cognitive maps have been widely studied. Recent studies suggest similar neural mechanism subserves the map-like architecture in social cognition as well. Here we investigated how spatial codes operate beyond the physical environment and support the representation and navigation of social cognitive map. We designed a social value space defined by two dimensions of competence and warmth. Behaviorally, participants were able to navigate to a learned location from random starting locations in this abstract social space. At the neural level, we identified the representation of distance in the precuneus, fusiform gyrus, and middle occipital gyrus. We also found partial evidence of grid-like representation patterns in the medial prefrontal cortex and entorhinal cortex. Moreover, the intensity of grid-like response scaled with the performance of navigating in social space and social avoidance trait scores. Our findings suggest a neurocognitive mechanism by which social information can be organized into a structured representation, namely cognitive map and its relevance to social well-being.
人们在日常社交中会对他人形成印象,并从他人的行为中推断出其个性特征。这种特征推断被认为依赖于两个普遍的维度:能力和温暖。这两个维度可以用来构建一个“社会认知图”,有效地组织从社交互动中获得的大量信息。源于空间认知,支持空间认知地图表示和导航的神经编码已经得到了广泛的研究。最近的研究表明,类似的神经机制也支持社会认知中的图谱结构。在这里,我们研究了空间编码如何超越物理环境,支持社会认知地图的表示和导航。我们设计了一个由能力和温暖两个维度定义的社会价值空间。行为上,参与者能够从这个抽象的社会空间中的随机起始位置导航到已学习的位置。在神经水平上,我们在楔前叶、梭状回和中枕叶中识别了距离的表示。我们还在内侧前额叶皮层和内嗅皮层中发现了网格状表示模式的部分证据。此外,网格状反应的强度与在社会空间中导航的表现和社交回避特质得分相关。我们的发现表明了一种神经认知机制,通过这种机制,社会信息可以组织成一种结构化的表示,即认知地图,以及它与社会幸福感的关系。