ISSN 1671-3710
CN 11-4766/R

心理科学进展 ›› 2021, Vol. 29 ›› Issue (5): 761-772.doi: 10.3724/SP.J.1042.2021.00761

• 研究构想 •    下一篇


何蔚祺(), 李帅霞, 赵东方   

  1. 辽宁师范大学脑与认知神经科学研究中心;辽宁省脑与认知神经科学重点实验室, 大连 116029
  • 收稿日期:2020-09-01 出版日期:2021-05-15 发布日期:2021-03-30
  • 通讯作者: 何蔚祺
  • 基金资助:

Neural mechanism underlying the perception of crowd facial emotions

HE Weiqi(), LI Shuaixia, ZHAO Dongfang   

  1. Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian 116029, China;Key laboratory of Brain and Cognitive Neuroscience, Liaoning Province, Dalian 116029, China
  • Received:2020-09-01 Online:2021-05-15 Published:2021-03-30
  • Contact: HE Weiqi


如何揭示情绪性面孔加工的认知神经机制一直是心理学和社会神经科学的热点课题。以往研究主要采用单独面孔表情作为情绪诱发或呈现方式, 但对群体情绪知觉与体验的关注极其缺乏, 而群体面孔表情作为群体情绪的主要表达方式, 亟待深入关注。因此, 本项目将采用群体面孔(面孔群)表情作为群体情绪刺激, 拟通过事件相关电位(ERP)、核磁共振(fMRI)以及经颅磁刺激(TMS)等技术结合行为研究, 尝试从情绪信息(效价和强度)、朝向信息(正面、侧面、倒置)、完整性(局部呈现、完整呈现)、空间频率信息(完整、高频、低频)等方面探明群体面孔表情加工的时间动态特征和大脑激活模式。这将有助于全面认识和深入了解群体情绪识别的一般规律, 对于更好地优化社会互动也具有现实意义。

关键词: 面孔表情, 情绪加工, 群体情绪, 整体感知


Human facial expressions convey a wealth of information about individual or group's emotion, motivation, intention or behavioral tendency, and interpreting these cues successfully and efficiently is a fundamental social cognitive process necessary for adaptive social behavior. Exploring how facial expression is processed and its potential cognitive neural mechanism has always been the popular topic for psychology and social neuroscience. The majority of recent studies mainly used single facial expression as stimuli to unravel the neural correlates of emotional processing, which make a great contribution to understandings of face perception and emotion recognition on dyadic interactions. However, much less is known about the emotion perception and recognition when crowds of faces are encountered. Thus, using crowd facial expressions as experimental stimuli, the present project plans to systematically explore the neural correlates of processing crowd emotions from the perspectives of behavioral performance, temporal dynamics and brain activation patterns, through the combined applications of behavioral, ERP, fMRI, and TMS techniques. Firstly, considering that emotional information conveyed by facial expressions differs in valence and intensity, the study 1 intends to investigate the recognition advantage, cerebral temporal and spatial characteristics (i.e. brain regions engaged in the processing of crowd facial expressions) through an emotion discrimination task, in which the valence (positive, neutral, and negative) and intensity (high, medium, and low) of crowd facial expressions will be manipulated well, respectively. Secondly, given that configural and featural information of face can exert an influence on the perception and recognition of emotional facial expressions, the effects of configural and featural cues of crowd faces on emotion perception will be taken into consideration in the study two and three. Specifically, in order to confirm the influence of orientation information on the processing of crowd facial expressions, the study 2 will focus on the orientations (frontal, half profile and profile) and inversions (upright and inverted) of crowd faces of different valences. Additionally, the study 3 will focus on the spatially structural integrity of crowd faces, and two issues below can be to some extent addressed through a masking and exploratory date-driven technology, namely: (1) How does different parts of face influence the processing of crowd facial expressions? (2) What is the diagnostic neural correlates which the perception and recognition of crowd facial expression depends on? Furthermore, it has been well-documented that spatial frequency content has a robust effect on the processing of facial stimuli, and different spatial frequencies transmit different information regarding faces. In general, low spatial frequency (LSF) content conveys information about orientation and contour of a face, which is associated with configural face processing. High spatial frequency (HSF) content conveys information about local details of a face, which is associated with featural face processing. Therefore, in the study 4, the spatial frequencies (broad band, HSF, LSF) and emotional valences (positive and negative) of crowd faces will be manipulated to investigate the temporal and spatial characteristics underlying the influence of spatial frequency on the processing of crowd facial expressions. The implementation of this project, on the one hand, helps to clarify the specific and general brain mechanisms related to individual and crowd facial expressions processing and to extend our understanding of the general rules and characteristics of emotion perception and face processing, which will improve building a universal theoretical model of face recognition. On the other hand, it can provide theoretical guidance for group emotion regulation and intervention, improve group belonging and group cohesion to a large extent, promote prosocial behavior and make a contribution to the construction of a harmonious society.

Key words: facial expression, emotional processing, crowd emotion, ensemble perception