EEG Correlates of Ten Positive Emotions

被引:95
作者
Hu, Xin [1 ]
Yu, Jianwen [1 ]
Song, Mengdi [1 ]
Yu, Chun [2 ]
Wang, Fei [1 ]
Sun, Pei [1 ]
Wang, Daifa [3 ]
Zhang, Dan [1 ]
机构
[1] Tsinghua Univ, Sch Social Sci, Dept Psychol, Beijing, Peoples R China
[2] Tsinghua Univ, Dept Comp Sci & Technol, Beijing, Peoples R China
[3] Beihang Univ, Sch Biol Sci & Med Engn, Beijing, Peoples R China
关键词
positive emotion; EEG; film clips; classification; spectral power; ATTENTION; DISCRETE; BROADEN; SYSTEM; POSTERIOR;
D O I
10.3389/fnhum.2017.00026
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Compared with the well documented neurophysiological findings on negative emotions, much less is known about positive emotions. In the present study, we explored the EEG correlates of ten different positive emotions (joy, gratitude, serenity, interest, hope, pride, amusement, inspiration, awe, and love). A group of 20 participants were invited to watch 30 short film clips with their EEGs simultaneously recorded. Distinct topographical patterns for different positive emotions were found for the correlation coefficients between the subjective ratings on the ten positive emotions per film clip and the corresponding EEG spectral powers in different frequency bands. Based on the similarities of the participants' ratings on the ten positive emotions, these emotions were further clustered into three representative clusters, as 'encouragement' for awe, gratitude, hope, inspiration, pride, `playfulness' for amusement, joy, interest, and 'harmony' for love, serenity. Using the EEG spectral powers as features, both the binary classification on the higher and lower ratings on these positive emotions and the binary classification between the three positive emotion clusters, achieved accuracies of approximately 80% and above. To our knowledge, our study provides the first piece of evidence on the EEG correlates of different positive emotions.
引用
收藏
页数:12
相关论文
共 49 条
[31]   The human mirror neuron system: A link between action observation and social skills [J].
Oberman, Lindsay M. ;
Pineda, Jaime A. ;
Ramachandran, Vilayanur S. .
SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE, 2007, 2 (01) :62-66
[32]   EEG evidence for mirror neuron dysfunction in autism spectrum disorders [J].
Oberman, LM ;
Hubbard, EM ;
McCleery, JP ;
Altschuler, EL ;
Ramachandran, VS ;
Pineda, JA .
COGNITIVE BRAIN RESEARCH, 2005, 24 (02) :190-198
[33]   FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data [J].
Oostenveld, Robert ;
Fries, Pascal ;
Maris, Eric ;
Schoffelen, Jan-Mathijs .
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2011, 2011
[34]   New vistas for α-frequency band oscillations [J].
Palva, Satu ;
Palva, J. Matias .
TRENDS IN NEUROSCIENCES, 2007, 30 (04) :150-158
[35]   Emotion Research by the People, for the People [J].
Picard, Rosalind W. .
EMOTION REVIEW, 2010, 2 (03) :250-254
[36]   Toward machine emotional intelligence: Analysis of affective physiological state [J].
Picard, RW ;
Vyzas, E ;
Healey, J .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2001, 23 (10) :1175-1191
[37]   The functional significance of mu rhythms: Translating "seeing" and "hearing" into "doing" [J].
Pineda, JA .
BRAIN RESEARCH REVIEWS, 2005, 50 (01) :57-68
[38]   The Collective Benefits of Feeling Good and Letting Go: Positive Emotion and (dis)Inhibition Interact to Predict Cooperative Behavior [J].
Rand, David G. ;
Kraft-Todd, Gordon ;
Gruber, June .
PLOS ONE, 2015, 10 (01)
[39]   Assessing the effectiveness of a large database of emotion-eliciting films: A new tool for emotion researchers [J].
Schaefer, Alexandre ;
Nils, Frederic ;
Sanchez, Xavier ;
Philippot, Pierre .
COGNITION & EMOTION, 2010, 24 (07) :1153-1172
[40]  
Seligman M.E., 2014, POSITIVE PSYCHOL INT, P279, DOI 10.1037//0003-066X.55.1.5