Zhang Dandan, Liu Yunzhe, Hou Xinlin, Sun Guoyu, Cheng Yawei, Luo Yuejia
Institute of Affective and Social Neuroscience, Shenzhen University Shenzhen, China ; State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University Beijing, China.
Department of Pediatrics, Peking University First Hospital Beijing, China.
Front Behav Neurosci. 2014 Dec 4;8:422. doi: 10.3389/fnbeh.2014.00422. eCollection 2014.
Appropriate processing of human voices with different threat-related emotions is of evolutionarily adaptive value for the survival of individuals. Nevertheless, it is still not clear whether the sensitivity to threat-related information is present at birth. Using an odd-ball paradigm, the current study investigated the neural correlates underlying automatic processing of emotional voices of fear and anger in sleeping neonates. Event-related potential data showed that the fronto-central scalp distribution of the neonatal brain could discriminate fearful voices from angry voices; the mismatch response (MMR) was larger in response to the deviant stimuli of anger, compared with the standard stimuli of fear. Furthermore, this fear-anger MMR discrimination was observed only when neonates were in active sleep state. Although the neonates' sensitivity to threat-related voices is not likely associated with a conceptual understanding of fearful and angry emotions, this special discrimination in early life may provide a foundation for later emotion and social cognition development.
对带有不同威胁相关情绪的人类声音进行适当处理，对个体生存具有进化适应性价值。然而，对威胁相关信息的敏感性在出生时是否存在仍不清楚。本研究采用奇偶数范式，调查了睡眠中新生儿对恐惧和愤怒情绪声音自动处理的神经相关性。事件相关电位数据表明，新生儿大脑额中央头皮分布能够区分恐惧声音和愤怒声音；与恐惧标准刺激相比，愤怒偏差刺激引发的失配反应（MMR）更大。此外，只有当新生儿处于主动睡眠状态时，才会观察到这种恐惧 - 愤怒MMR辨别。虽然新生儿对威胁相关声音的敏感性不太可能与对恐惧和愤怒情绪的概念理解相关，但这种早期生活中的特殊辨别可能为后期情绪和社会认知发展奠定基础。
