Neuroscape@NeuroTech Platform and Service de Neurologie, Département des Neurosciences Cliniques, Centre Hospitalier Universitaire Vaudois, 1011 Lausanne, Switzerland;
Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, WC1N 3BG London, United Kingdom.
Proc Natl Acad Sci U S A. 2020 Aug 25;117(34):20868-20873. doi: 10.1073/pnas.2007141117. Epub 2020 Aug 6.
Adaptive social behavior and mental well-being depend on not only recognizing emotional expressions but also, inferring the absence of emotion. While the neurobiology underwriting the perception of emotions is well studied, the mechanisms for detecting a lack of emotional content in social signals remain largely unknown. Here, using cutting-edge analyses of effective brain connectivity, we uncover the brain networks differentiating neutral and emotional body language. The data indicate greater activation of the right amygdala and midline cerebellar vermis to nonemotional as opposed to emotional body language. Most important, the effective connectivity between the amygdala and insula predicts people's ability to recognize the absence of emotion. These conclusions extend substantially current concepts of emotion perception by suggesting engagement of limbic effective connectivity in recognizing the lack of emotion in body language reading. Furthermore, the outcome may advance the understanding of overly emotional interpretation of social signals in depression or schizophrenia by providing the missing link between body language reading and limbic pathways. The study thus opens an avenue for multidisciplinary research on social cognition and the underlying cerebrocerebellar networks, ranging from animal models to patients with neuropsychiatric conditions.
适应性社会行为和心理健康不仅依赖于识别情绪表达,还依赖于推断情绪的缺失。虽然情绪感知的神经生物学基础得到了很好的研究,但检测社会信号中缺乏情绪内容的机制在很大程度上仍不清楚。在这里,我们使用前沿的大脑有效连接分析,揭示了区分中性和情感肢体语言的大脑网络。数据表明,与情感肢体语言相比,非情感肢体语言会引起右杏仁核和中线小脑蚓部的更大激活。最重要的是,杏仁核和岛叶之间的有效连接可以预测人们识别缺乏情绪的能力。这些结论通过表明边缘有效连接在识别肢体语言阅读中缺乏情绪方面的参与,大大扩展了当前的情绪感知概念。此外,该结果可能通过提供肢体语言阅读和边缘通路之间缺失的联系,为抑郁症或精神分裂症中对社会信号的过度情绪化解释提供了一个新的认识途径。因此,该研究为从动物模型到神经精神疾病患者的社会认知和潜在的脑-脑网络的跨学科研究开辟了道路。