PDF(Pubmed)
Abstract：
Understanding how the human brain maps different dimensions of social conceptualizations remains a key unresolved issue. We performed a functional magnetic resonance imaging (MRI) study in which participants were exposed to audio definitions of personality traits and asked to simulate experiences associated with the concepts. Half of the concepts were affective (e.g. empathetic), and the other half were non-affective (e.g. intelligent). Orthogonally, half of the concepts were highly likable (e.g. sincere) and half were socially undesirable (e.g. liar). Behaviourally, we observed that the dimension of social desirability reflected the participant\'s subjective ratings better than affect. FMRI decoding results showed that both social desirability and affect could be decoded in local patterns of activity through distributed brain regions including the superior temporal, inferior frontal, precuneus and key nodes of the default mode network in posterior/anterior cingulate and ventromedial prefrontal cortex. Decoding accuracy was better for social desirability than affect. A representational similarity analysis further demonstrated that a deep language model significantly predicted brain activity associated with the concepts in bilateral regions of superior and anterior temporal lobes. The results demonstrate a brain-wide representation of social knowledge, involving default model network systems that support the multimodal simulation of social experience, with a further reliance on language-related preprocessing.
摘要：
了解人类大脑如何映射社会概念化的不同维度仍然是一个悬而未决的关键问题。我们进行了功能性MRI研究，其中参与者被暴露于人格特质的音频定义，并要求模拟与概念相关的经验。一半的概念是情感的（例如移情），另一半是非情感的（例如智能）。正交,一半的概念是非常讨人喜欢的（例如真诚），一半是社会上不受欢迎的（例如骗子）。行为上,我们观察到，社会期望度的维度比情感更好地反映了参与者的主观评分。FMRI解码结果表明，社会期望和影响可以通过分布的大脑区域在局部活动模式中解码，包括上颞叶，下额叶，后/前扣带和腹内侧前额叶皮质默认模式网络的前肌和关键节点。解码准确性对于社会期望性比情感更好。代表性相似性分析进一步表明，深度语言模型可显着预测与颞叶和颞叶双侧区域的概念相关的大脑活动。结果显示了社会知识的全脑代表性，涉及支持社会体验多模态模拟的默认模型网络系统，进一步依赖于语言相关的预处理。
