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Social and emotional relevance in face processing: happy faces of future interaction partners enhance the late positive potential

机译:脸部处理中的社交和情感相关性:未来互动伙伴的快乐面孔可增强后期积极潜力

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摘要

Human face perception is modulated by both emotional valence and social relevance, but their interaction has rarely been examined. Event-related brain potentials (ERP) to happy, neutral, and angry facial expressions with different degrees of social relevance were recorded. To implement a social anticipation task, relevance was manipulated by presenting faces of two specific actors as future interaction partners (socially relevant), whereas two other face actors remained non-relevant. In a further control task all stimuli were presented without specific relevance instructions (passive viewing). Face stimuli of four actors (2 women, from the KDEF) were randomly presented for 1s to 26 participants (16 female). Results showed an augmented N170, early posterior negativity (EPN), and late positive potential (LPP) for emotional in contrast to neutral facial expressions. Of particular interest, face processing varied as a function of experimental tasks. Whereas task effects were observed for P1 and EPN regardless of instructed relevance, LPP amplitudes were modulated by emotional facial expression and relevance manipulation. The LPP was specifically enhanced for happy facial expressions of the anticipated future interaction partners. This underscores that social relevance can impact face processing already at an early stage of visual processing. These findings are discussed within the framework of motivated attention and face processing theories.
机译:人脸感知受情绪价和社交相关性的调节,但很少研究它们之间的相互作用。记录与社交相关程度不同的快乐,中性和愤怒表情相关的事件相关脑电势(ERP)。为了执行社会预期任务,通过将两个特定角色的面孔作为未来的交互伙伴(社会相关)呈现出来来操纵相关性,而其他两个面部角色仍然不相关。在进一步的控制任务中,所有刺激均在没有具体相关说明的情况下呈现(被动观看)。随机向4名演员(来自KDEF的2名女性)的脸部刺激向1名26位参与者(16名女性)呈现1秒。结果显示,与中性的面部表情相比,N170的情绪增强,早期后阴性(EPN)和晚期正电位(LPP)增强了情绪。特别有趣的是,面部处理随实验任务而变化。不管指示的相关性如何,都观察到了P1和EPN的任务效果,而LPP幅度是通过情感面部表情和相关性操作来调节的。 LPP专门增强了预期的未来交互伙伴的面部表情。这强调了社交相关性已经可以在视觉处理的早期阶段影响面部处理。这些发现将在动机关注和面部处理理论的框架内进行讨论。

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