ISSN 1671-3710
CN 11-4766/R
主办:中国科学院心理研究所
出版:科学出版社

心理科学进展 ›› 2020, Vol. 28 ›› Issue (1): 85-97.doi: 10.3724/SP.J.1042.2020.00085

• 研究前沿 • 上一篇    下一篇

情绪变化的自动化加工:来自EMMN的启示

丁小斌1, 刘建邑1(), 王亚鹏2(), 康铁君1, 党宸1   

  1. 1西北师范大学心理学院, 甘肃省行为与心理健康重点实验室, 兰州 730070
    2北京师范大学认知神经科学与学习国家重点实验室, 北京 100875
  • 收稿日期:2019-06-06 出版日期:2020-01-15 发布日期:2019-11-21
  • 通讯作者: 刘建邑,王亚鹏 E-mail:jianyiliu_nwnu@163.com;wangya_peng@163.com
  • 基金资助:
    国家自然科学基金地区项目(31960181)

The automatic processing of changes in emotion: Implications from EMMN

DING Xiaobin1, LIU Jianyi1(), WANG Yapeng2(), KANG Tiejun1, DANG Chen1   

  1. 1 Key Laboratory of Behavioral and Mental Health of Gansu Province, School of Psychology, Northwest Normal University, Lanzhou 730070, China
    2 State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
  • Received:2019-06-06 Online:2020-01-15 Published:2019-11-21
  • Contact: LIU Jianyi,WANG Yapeng E-mail:jianyiliu_nwnu@163.com;wangya_peng@163.com

摘要:

人脑如何自动化加工瞬息万变的情绪信息?研究者们在借鉴听觉通道的失匹配负波(mismatch negativity, MMN)研究的基础上, 进一步发展出了表情失匹配负波(expression mismatch negativity, EMMN), 以此作为视觉情绪信息前注意加工的重要指标。与以往的一般视觉线索的视觉失匹配负波(visual mismatch negativity, vMMN)有所区别, EMMN研究专注于人脑如何自动化加工瞬息万变的情绪信息。当前的研究主要探讨了不同类型的面部表情、不同性别、高低流体智力个体的EMMN差异, 以及自闭症、抑郁症、精神分裂症等异常个体EMMN的特点。此外, 从预测编码的角度阐释了EMMN的机制。今后的研究有必要聚焦EMMN在临床诊断和治疗中的应用, 考察不同情绪线索EMMN的特点, 并进一步揭示EMMN的神经机制。

关键词: 面部表情, 前注意加工, 失匹配负波, N170, oddball范式

Abstract:

How does the human brain automatically process changing emotional information? Based on the theory of mismatch negativity (MMN), which is generated from our auditory system, a new concept named expression mismatch negativity (EMMN) has been developed by researchers. EMMN is regarded as the index of pre-attentive processing. EMMN is primarily responsible for detecting the variation of information that contains emotional details, and this is where it differs from the visual mismatch negativity (vMMN) that accounts for processing common visual information. Current review mainly discusses how EMMN differs in regard to different facial expression, gender, and fluid intelligence. We also focused on EMMN in aberrated populations such as autism, major depression, and schizophrenia. In addition, we sheds light on the mechanism of EMMN through a perspective based on the predictive-coding theory. In addition to further exploring the neural mechanism of EMMN, future studies should focus particularly on the application of EMMN in clinical diagnosis and therapy, as well as pay close attention to the feature of EMMN in different emotional cues.

Key words: facial expression, pre-attentive processing, mismatch negativity, N170, oddball paradigm

中图分类号: