The recognition of dynamic-emotional faces in individuals with high and low social anxiety: An ERP study

IF 2.5 4区 医学 Q3 NEUROSCIENCES
Rui Li , Guangming Ran , Qi Zhang
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引用次数: 0

Abstract

Individuals with high social anxiety (HSA) show abnormal processing of emotional faces, which may increase their social anxiety. A growing number of event-related potential (ERP) studies have explored the neural mechanisms underlying the static-emotional face processing of HSA individuals. In view of the ecological validity of dynamic faces, this study will further explore the time course of dynamic-emotional face processing in individuals with HSA. To this end, 30 high and 30 low social anxiety (LSA) participants were asked to perform an identification task of dynamic-emotional faces while their brain responses were recorded using an ERP technique. The behavioral results showed the recognition accuracy of dynamic faces was higher than static faces when these faces were happy. For the P100 component, HSA participants showed higher P100 mean amplitudes of dynamic than static faces in the left hemisphere when they viewed happy, but not angry faces. In addition, increased N170 mean amplitudes of dynamic-happy faces were showed. Furthermore, the LPP mean amplitudes of dynamic faces were smaller than those of static faces. In sum, this study could provide a better understanding of the time course of dynamic-emotional face processing in HSA individuals.

高、低社交焦虑个体对动态情绪面孔的识别:ERP研究
高社交焦虑个体表现出对情绪面孔的异常处理,这可能会增加他们的社交焦虑。越来越多的事件相关电位(ERP)研究探索了HSA个体静态情绪面孔加工的神经机制。鉴于动态面孔的生态效度,本研究将进一步探讨HSA个体动态情绪面孔加工的时间过程。为此,30名高社交焦虑和30名低社交焦虑(LSA)的参与者被要求执行一项识别动态情绪面孔的任务,同时他们的大脑反应被用ERP技术记录下来。行为实验结果表明,当动态面孔处于快乐状态时,动态面孔的识别准确率高于静态面孔。对于P100分量,当HSA参与者看到快乐而不是愤怒的面孔时,他们的左半球动态面孔的P100平均振幅高于静态面孔。此外,动态快乐面孔的N170平均振幅增加。动态面LPP平均振幅小于静态面LPP平均振幅。综上所述,本研究可以更好地理解高焦虑个体动态情绪面孔加工的时间过程。
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来源期刊
Neuroscience Letters
Neuroscience Letters 医学-神经科学
CiteScore
5.20
自引率
0.00%
发文量
408
审稿时长
50 days
期刊介绍: Neuroscience Letters is devoted to the rapid publication of short, high-quality papers of interest to the broad community of neuroscientists. Only papers which will make a significant addition to the literature in the field will be published. Papers in all areas of neuroscience - molecular, cellular, developmental, systems, behavioral and cognitive, as well as computational - will be considered for publication. Submission of laboratory investigations that shed light on disease mechanisms is encouraged. Special Issues, edited by Guest Editors to cover new and rapidly-moving areas, will include invited mini-reviews. Occasional mini-reviews in especially timely areas will be considered for publication, without invitation, outside of Special Issues; these un-solicited mini-reviews can be submitted without invitation but must be of very high quality. Clinical studies will also be published if they provide new information about organization or actions of the nervous system, or provide new insights into the neurobiology of disease. NSL does not publish case reports.
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