Department of Clinical Neurophysiology, Neurological Institute, Faculty of Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan; Faculty of Welfare and Information, Tokuyama University, Gakuendai, Shunan, Yamaguchi 745-8566, Japan.
Department of Clinical Neurophysiology, Neurological Institute, Faculty of Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan.
Neurosci Lett. 2020 Apr 23;725:134911. doi: 10.1016/j.neulet.2020.134911. Epub 2020 Mar 18.
The relationship between facial identity and facial expression processing has long been debated. Although previous facial recognition models indicate that facial identity and facial expression processing are independent, psychological studies using the selective attention task (the Garner paradigm) have revealed an asymmetrical relationship between the perception of identity and emotional expressions in faces: while facial expression does not influence facial identity recognition, facial identity influences facial expression recognition. We used the Garner paradigm and recorded high-density event-related potentials (ERPs) to investigate the influence of facial identity on facial expression recognition. Twenty participants judged the expression of faces, while the irrelevant dimension of identity was either held constant (control condition) or varied (orthogonal condition). We recorded 128-channel EEGs while participants completed the facial expression task. We analyzed the two major components of early visual stages: P1 and N170. ERP results revealed a significant main effect of condition on the N170 latency. These results suggest that facial identity influences facial expression recognition in the N170 that reflects the structural encoding of faces. Thus, information on facial expression might be computed based on the unique structure of individual faces.
面部身份与面部表情处理之间的关系一直存在争议。尽管先前的面部识别模型表明面部身份和面部表情处理是独立的，但使用选择性注意任务（加内尔范式）的心理学研究揭示了面部身份知觉和情感表达之间的不对称关系：虽然面部表情不会影响对面部身份的识别，但面部身份会影响对面部表情的识别。我们使用加内尔范式并记录了高密度事件相关电位（ERPs），以研究面部身份对面部表情识别的影响。二十名参与者判断面孔的表情，而身份的不相关维度要么保持不变（对照条件），要么变化（正交条件）。当参与者完成面部表情任务时，我们记录了 128 通道的 EEG。我们分析了早期视觉阶段的两个主要成分：P1 和 N170。ERP 结果显示条件对 N170 潜伏期有显著的主效应。这些结果表明，面部身份会影响 N170 对面部表情的识别，这反映了对面部的结构编码。因此，面部表情的信息可能是基于个体面部的独特结构计算出来的。
