Facial identity influences facial expression recognition: A high-density ERP study

Facial identity influences facial expression recognition: A high-density ERP study
复制标题

DOI:
10.1016/j.neulet.2020.134911
复制
发表时间:
2020-04-23
影响因子:
2.5
通讯作者:
Tobimatsu,Shozo
Tobimatsu,Shozo
中科院分区:
医学4区
文献类型:
--
作者:
Komatsu,Sahoko;Yamada,Emi;Tobimatsu,Shozo

文献摘要

相似文献

面部同一性和面部表情加工之间的关系长期以来一直存在争议。虽然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(加纳范式)的心理学研究揭示了身份感知和面部情绪表达之间的不对称关系:虽然面部表情不影响面部身份识别,但面部身份影响面部表情识别。我们使用加纳范式并记录高密度事件相关电位(ERPs)来研究面部身份对面部表情识别的影响。20名参与者判断面部表情,而身份的无关维度要么保持不变(控制条件),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个通道的脑电图。我们分析了早期视觉阶段的两个主要组成部分: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,面部身份影响N170的面部表情识别,反映了面部的结构编码。因此,可以基于各个面部的独特结构来计算关于面部表情的信息。
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.