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 ›› 2017, Vol. 25 ›› Issue (8): 1289-1298.doi: 10.3724/SP.J.1042.2017.01289

• 研究前沿 • 上一篇    下一篇

 语篇情绪理解及其认知神经机制

张秀平1,2;  张玉萍1,2;  杨晓虹1; 杨玉芳1   

  1.  (1中国科学院心理研究所 行为科学重点实验室, 北京 100101) (2中国科学院大学, 北京 100049)
  • 收稿日期:2017-02-14 出版日期:2017-08-15 发布日期:2017-06-25
  • 通讯作者: 杨玉芳, E-mail: yangyf@psych.ac.cn E-mail:杨玉芳, E-mail: yangyf@psych.ac.cn
  • 基金资助:
     国家自然科学基金重点项目(61433018)、国家自然科学基金青年项目(31400968)、北京先进成像技术创新中心基金(BAICIT-2016018)资助。

 Emotion comprehension in discourse and its cognitive neural mechanism

 ZHANG Xiuping1,2; ZHANG Yuping1,2; YANG Xiaohong1; YANG Yufang1   

  1.  (1 Key Laboratory of Behavioral Science, Institute of psychology, Chinese Academy of Sciences, Beijing 100101, China) (2 University of Chinese Academy of Sciences, Beijing 100049, China)
  • Received:2017-02-14 Online:2017-08-15 Published:2017-06-25
  • Contact: YANG Yufang, E-mail: yangyf@psych.ac.cn E-mail:杨玉芳, E-mail: yangyf@psych.ac.cn
  • Supported by:
     

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摘要：  在心理语言学领域, 情绪信息加工是语篇理解的重要方面, 得到了广泛关注。目前的研究表明, 读者在语篇阅读中可以在线地、自动地推测出语篇情绪信息, 追踪情绪信息的变化, 并对其进行更新。语篇理解相关的模型及一些事件相关电位(ERP)的实证研究表明语篇情绪理解至少包括两个重要的加工过程：一是对语篇情绪信息的实时监控, 二是对当前情绪信息的评估与更新。相关的功能磁共振(fMRI)的研究表明语篇情绪理解除了需要经典的情绪加工网络, 还需要多个脑区网络的参与, 如, 语篇理解网络、心理理论(ToM)网络。未来研究还需更加深入地、更加细致地探讨语篇情绪理解的认知神经机制及其可能的影响因素, 研究成果也可以为情感计算领域提供一定的借鉴。

关键词: 语篇, 情绪理解, 认知过程, 神经机制

Abstract:  Emotion comprehension is of great significance for discourse comprehension and it is widely studied in psycholinguistics. Previous studies demonstrated that readers infer emotional information in discourse on-line and automatically. What’s more, readers can keep track of emotional change in discourse and update their situation model accordingly. Recently, some empirical ERP studies and related discourse comprehension theories showed that at least two processes are involved in emotion comprehension in discourse: one is the monitoring of emotional information and the other is the evaluation and updating of current emotional information. Related fMRI studies suggested that emotion comprehension in discourse activated not only emotion network, but also other networks, such as narrative comprehension network and theory of mind (ToM) network. In the future, more studies are needed to explore the influential factors of emotion comprehension and its cognitive neural mechanisms. The findings can be useful for the studies of emotion computing.

Key words:  discourse, emotion comprehension, cognitive processes, neural mechanism

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