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A robust implicit measure of facial attractiveness discrimination

机译:鲁棒的隐式面部吸引力判别方法

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摘要

Decisions of attractiveness from the human face are made instantly and spontaneously, but robust implicit neural measures of facial attractiveness discrimination are currently lacking. Here we applied fast periodic visual stimulation coupled with electroencephalography (EEG) to objectively measure the neural coding of facial attractiveness. We presented different pictures of faces at 6 Hz, i.e. six faces/second, for a minute while participants attended to a central fixation cross and indicated whether the cross shortly changed color. Every other face in the stimulation was attractive and was replaced by a relatively less attractive face. This resulted in alternating more/less attractive faces at a 3 Hz rate, eliciting a significant increase in occipito-temporal EEG amplitude at 3 Hz both at the group and the individual participant level. This response was absent in two control conditions where either only attractive or only less attractive faces were presented. These observations support the view that face-sensitive visual areas discriminate attractiveness implicitly and rapidly from the human face.
机译:可以立即自发地做出人脸吸引力的决策,但是目前尚缺乏有效的面部吸引力歧视的内隐神经测量方法。在这里,我们应用快速定期视觉刺激与脑电图(EEG)结合,客观地测量面部吸引力的神经编码。在参与者参加中央注视十字时,我们在一分钟内以6 Hz(即每秒六张面部)呈现了不同的面部图片,并指出该十字是否很快改变了颜色。刺激中的其他每张脸都很吸引人,并被相对不那么吸引人的脸代替。这导致以3 Hz的频率交替出现更多或更少的吸引人的面孔,从而在小组和个体参与者水平上均以3 Hz的频率显着增加枕颞EEG幅度。在仅呈现出吸引人的脸部或仅呈现出较少吸引人的脸部的两个对照条件下,没有这种反应。这些观察结果支持了这样的观点,即面部敏感的视觉区域隐式且快速地将吸引力与人脸区分开。

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