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Neural coding of assessing another person’s knowledge based on nonverbal cues

机译:基于非语言线索评估他人知识的神经编码

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摘要

For successful communication, conversational partners need to estimate each other’s current knowledge state. Nonverbal facial and bodily cues can reveal relevant information about how confident a speaker is about what they are saying. Using functional magnetic resonance imaging, we aimed to identify brain regions that encode how confident a speaker is perceived to be. Participants viewed videos of people answering general knowledge questions and judged each respondent’s confidence in their answer. Our results suggest a distinct role of two neural networks known to support social inferences, the so-called mentalizing and the mirroring network. While activation in both networks underlies the processing of nonverbal cues, only activity in the mentalizing network, most notably the medial prefrontal cortex and the bilateral temporoparietal junction, is modulated by how confident the respondent is judged to be. Our results support an integrative account of the mirroring and mentalizing network, in which the two systems support each other in aiding pragmatic processing.
机译:为了成功进行交流,对话伙伴需要估计彼此的当前知识状态。非言语的面部和身体暗示可以揭示有关说话者对自己说话的自信程度的相关信息。使用功能性磁共振成像,我们旨在识别编码说话者自信程度的大脑区域。参与者观看了人们回答常识性问题的视频,并判断了每个受访者对其回答的信心。我们的结果表明,已知的两个支持社交推理的神经网络(所谓的心理网络和镜像网络)发挥着独特的作用。虽然两个网络中的激活都是处理非语言提示的基础,但只有在心理化网络中的活动(最显着的是内侧额前皮层和双侧颞顶交界处)才能通过判断受访者的信心来调节。我们的结果支持对镜像和心理网络的综合说明,其中两个系统在辅助务实处理方面相互支持。

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