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Neural correlates of emotional regulation processing: Evidence from ERP and source current density analysis
Wang, Zhen-Hao; Wang, Yi; Pan, Dong-Ni; Li, Xuebing
第一作者Wang, Zhen-Hao
2018-03-12
会议名称6th International Conference on Bioinformatics and Computational Biology, ICBCB 2018
会议录名称ACM International Conference Proceeding Series
页码150-156
会议日期March 12, 2018 - March 14, 2018
会议地点Chengdu
会议举办国China
会议录编者/会议主办者Sichuan University
出版者Association for Computing Machinery
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摘要The neural mechanism of emotion regulation had been widely concerned while still unclear. Therefore, the goal of the present study was to investigate and highlight common neural correlates of emotion regulation in healthy populations. During this task, 51 participants were required to down-regulate their emotion when viewing negative images with reappraisal and expressive suppression strategies. Using ERP and source current density analysis, the present study provided precise time frame and construct destiny sources map to show the temporal unfolding of neural events that occur during emotion regulation processes. Results showed that: (1) Emotion regulation processing starts from early attention selection to late emotion experiences processing, represented by decreased P2 and LPP to negative stimulus during emotion regulation. (2) LPP derived from prefrontal gyrus, with different neural circles involving in reappraisal and suppression emotion regulation. (3) There is conflict between the self-reporting and ERP results, indicating the necessary of using objective research methods in study of emotion regulation. © 2018 Association for Computing Machinery.
学科领域Bioinformatics
DOI10.1145/3194480.3194502
收录类别EI
语种英语
EI主题词Current density - Enterprise resource planning
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文献类型会议论文
条目标识符http://ir.psych.ac.cn/handle/311026/27750
专题健康与遗传心理学研究室
作者单位Institute of Psychology, Chinese Academy of Sciences, Department of Psychology, University of Chinese Academy of Sciences, China
推荐引用方式
GB/T 7714
Wang, Zhen-Hao,Wang, Yi,Pan, Dong-Ni,et al. Neural correlates of emotional regulation processing: Evidence from ERP and source current density analysis[C]//Sichuan University:Association for Computing Machinery,2018:150-156.
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