心理学
透视图(图形)
认知心理学
背景(考古学)
情绪分类
构造(python库)
脑电图
情感表达
人工智能
神经科学
计算机科学
生物
古生物学
程序设计语言
作者
Xin Hu,Fei Wang,Dan Zhang
出处
期刊:NeuroImage
[Elsevier]
日期:2021-12-14
卷期号:247: 118819-118819
被引量:34
标识
DOI:10.1016/j.neuroimage.2021.118819
摘要
Our daily emotional experience is a complex construct that usually involves multiple emotions blended in a context-dependent manner. However, the co-occurring and context-dependent nature of human emotions was understated in previous studies when addressing the individual difference in emotional experiences. The present study proposed a situated and blended ‘profile’ perspective to characterize individualized emotional experiences. Eighty participants watched a series of emotional videos with their EEG recorded, and the individual differences in their emotion profiles were measured as the vector distances between their multidimensional emotion ratings for these video stimuli. This measure was found to be a reliable descriptor of individualized emotional experiences and could efficiently predict classical emotional complexity indices. More importantly, inter-subject representational analyses revealed that similar emotion profiles were associated with similar delta-band activities over the prefrontal and temporo-parietal regions and similar theta-band activities over the frontal regions. Furthermore, left- and right-lateralized temporo-parietal representations were observed for positive and negative emotion profiles, respectively. Our findings demonstrate the potential of taking a ‘profile’ perspective for understanding individual differences in human emotions.
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