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 (12): 1979-1988.doi: 10.3724/SP.J.1042.2020.01979

• 研究构想 •    下一篇

高社交焦虑者识别动态情绪面孔的神经机制

冉光明1(), 李睿1, 张琪2   

  1. 1西华师范大学教育学院心理系
    2西华师范大学学前与初等教育学院, 四川 南充 637002
  • 收稿日期:2020-04-13 出版日期:2020-12-15 发布日期:2020-10-26
  • 通讯作者: 冉光明 E-mail:haiqi198649@163.com
  • 基金资助:
    国家自然科学基金青年项目(31900760)

Neural mechanism underlying recognition of dynamic emotional faces in social anxiety

RAN Guangming1(), LI Rui1, ZHANG Qi2   

  1. 1Department of Psychology, School of Education, China West Normal University, Nanchong 637002, China
    2College of Preschool and Primary Education, China West Normal University, Nanchong 637002, China
  • Received:2020-04-13 Online:2020-12-15 Published:2020-10-26
  • Contact: RAN Guangming E-mail:haiqi198649@163.com

摘要:

近年来, 大量的研究对高社交焦虑者的情绪面孔加工和社交焦虑的干预进行了考察, 取得了丰富成果, 但仍存在以下不足: (1) 在以往的中国动态情绪面孔库存中, 刺激材料的情绪类别、视频维度以及视频持续时间的种类偏少; (2) 高社交焦虑者识别动态情绪面孔的神经机制未被系统探讨; (3) 注意偏向训练的效果存在争议, 即一些研究者发现注意偏向训练对社交焦虑有明显的缓解作用, 而其他研究者却未发现注意偏向训练的效果。针对这些不足, 当前项目建设的中国人动态情绪面孔库拟增加刺激材料的情绪类别、视频维度以及视频持续时间的类型, 此外运用神经科学的技术系统探究高社交焦虑者对动态情绪面孔的识别机制, 最后采用工作记忆训练改善高社交焦虑者对动态生气面孔识别的注意偏向。本研究团队提出了高社交焦虑个体识别动态情绪面孔的神经机制模型, 该模型主要包括机制和干预两个部分。本项目的开展不仅为动态情绪面孔加工和社交焦虑研究提供了新视角, 还突破原有单一的研究方法, 拟从行为、电生理和脑成像三个层次进行研究。研究成果将促进社交焦虑干预工作的开展, 从而缓解社交焦虑个体的心理健康问题, 对于提高他们的幸福感和生命质量有重要价值。

关键词: 社交焦虑, 动态面孔, 情绪, 注意偏向, 工作记忆训练, ERP和fMRI

Abstract:

Abundant studies have explored the processing of emotional faces for high social anxiety participants and intervention work of social anxiety in recent years. Although there are rich findings, some limitations need to be considered. There are fewer types of emotion, dimensions of videos, and durations of videos in the previous dynamic emotional faces in Chinese. Furthermore, recognition of dynamic emotional faces for neural mechanisms in high social anxiety participants has not been examined systematically. The final limitation is that there are controversies on attentional bias training. More specifically, some researchers reported the effects of attentional bias training on participants’ social anxiety while others did not detect such effects.
To address these limitations, our dynamic emotional faces in Chinese will enrich types of emotion, dimensions of videos, and durations of videos. Then recognition of dynamic emotional faces for neural mechanisms in high social anxiety participants should be investigated systematically by techniques of neuroscience. Finally, we will employ a working memory training to improve attentional biases of the recognition of dynamic angry faces in high social anxiety participants. We propose a model of the neural mechanism for the recognition of dynamic emotional faces in participants with high social anxiety, which consists of a mechanism and intervention sub-model. Our studies provide a new perspective for the research of processing of dynamic emotional faces and social anxiety. In addition, these studies included three research method (behavioral, electrophysiological and brain imaging method). In sum, our findings contribute to the intervention work of social anxiety, decrease psychological health problems in high social anxiety participants, and ultimately decrease their happiness and quality of life.

Key words: social anxiety, dynamic faces, emotion, attentional bias, working memory training, ERP and fMRI

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