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EEG Signal Indicator for Emotional Reactivity

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Brain Informatics (BI 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11976))

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Abstract

The main purpose of this study was to seek indicators that could effectively describe an individual’s subjective emotional reactivity with objective physiological signals. The study used VR to present two valences of stimuli to induce certain emotions, meanwhile collecting multimode physiological data. Then three dimensions of emotional reactivity, namely emotional intensity, emotional sensitivity and emotional persistence, measured by a self-assessment questionnaire, were correlated with individual’s EEG signals. Results showed that emotional persistence was significantly positively correlated with the change rate of both alpha bands under HVHA stimulus and beta bands under LVHA stimulus between two cerebral hemispheres. These findings are in accord with the frontal EEG lateralization theory that the left and right prefrontal cortex hemispheres process differently for multiple emotions. The change rate in alpha/beta ratio of the left hemisphere between the baseline and after HVHA stimulus was also found significantly positively correlated with emotional reactivity along with the sensitivity and intensity dimensions. This indicate that the relative power spectrum ratio of two frequency bands is more effective.

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References

  1. Gross, J.J.: Antecedent-and response-focused emotion regulation: divergent consequences for experience, expression, and physiology. J. Pers. Soc. Psychol. 74(1), 224–237 (1998)

    Article  Google Scholar 

  2. Davidson, R.J.: Anxiety and affective style: role of prefrontal cortex and amygdala. Biol. Psychiat. 51(1), 68–80 (2002)

    Article  Google Scholar 

  3. Rothbart, M.K., Ahadi, S.A., Evans, D.E.: Temperament and personality: origins and outcomes. J. Pers. Soc. Psychol. 78(1), 122–135 (2000)

    Article  Google Scholar 

  4. Larsen, R.J., Diener, E.: Affect intensity as an individual difference characteristic: a review. J. Res. Pers. 21(1), 1–39 (1988)

    Article  Google Scholar 

  5. Davidson, R.J.: Emotion and affective style: hemispheric substrates. Psychol. Sci. 3(1), 39–43 (1992)

    Article  Google Scholar 

  6. Davidson, R.J.: Affective style and affective disorders: perspectives from affective neuroscience. Cogn. Emot. 12(3), 307–330 (1998)

    Article  Google Scholar 

  7. Linehan, M.M.: Cognitive-behavioral treatment of borderline personality disorder. Curr. Psychiatry Rep. 6(3), 225–231 (1993)

    Google Scholar 

  8. Nock, M.K., Wedig, M.M., Holmberg, E.B., Hooley, J.M.: The emotion reactivity scale: development, evaluation, and relation to self-injurious thoughts and behaviors. Behav. Ther. 39(2), 107–116 (2008)

    Article  Google Scholar 

  9. Evans, S.C., Blossom, J.B., Canter, K.S., Poppert-Cordts, K., Kanine, R., Garcia, A.: Self-reported emotion reactivity among early-adolescent girls: evidence for convergent and discriminant validity in an urban community sample. Behav. Ther. 47, 299–311 (2016)

    Article  Google Scholar 

  10. Simon, S.C., Greitemeyer, T.: The impact of immersion on the perception of pornography: a virtual reality study. Comput. Hum. Behav. 93, 141–148 (2019)

    Article  Google Scholar 

  11. Weidner, F., et al.: Comparing VR and non-VR driving simulations: an experimental user study. In: 2017 IEEE Virtual Reality (2017)

    Google Scholar 

  12. Naz, A., Kopper, R., Mcmahan, R.P.: Emotional qualities of VR space. In: 2017 IEEE Virtual Reality (2017)

    Google Scholar 

  13. Corrêa, C.G.: Evaluation of VR medical training applications under the focus of professionals of the health area. In: ACM Symposium on Applied Computing (2009)

    Google Scholar 

  14. Picard, R.W.: Affective Computing. MIT Press, Cambridge (1997)

    Google Scholar 

  15. Radenkovic, MC.: Machine learning approaches in detecting the depression from resting-state electroencephalogram (EEG): a review study (2019)

    Google Scholar 

  16. Coan, J.A., Allen, J.J.B.: Frontal EEG asymmetry as a moderator and mediator of emotion. Biol. Psychol. 67(1–2), 7–50 (2004)

    Article  Google Scholar 

  17. Lin, Y.P., Wang, C.H., Jung, T.P., Wu, T.L., Chen, J.H.: EEG-based emotion recognition in music listening. IEEE Trans. Biomed. Eng. 57(7), 1798–1806 (2010)

    Article  Google Scholar 

  18. Liang, G.D., Li, Y.X., Liao, D., Hu, H.C., Zhang, Y.Y., Xu, X.M.: The relationship between EEG and depression under induced emotions using VR scenes. In: IMBioC (2019)

    Google Scholar 

  19. Rong, W.T.: Research on the brain cognition rule and EEG analysis method for image. Dissertation, Harbin Institute of Technology (2018)

    Google Scholar 

  20. Liao, D., et al.: Arousal evaluation of VR affective scenes based on HR and SAM. In: IMBioC (2019)

    Google Scholar 

  21. Li, G.: Research on the dynamics of emotional response and its influencing factors. Dissertation, Capital Normal University (2008)

    Google Scholar 

  22. Fingelkurts, A.A., Fingelkurts, A.A.: Timing in cognition and EEG brain dynamics: discreteness versus continuity. Cogn. Process. 7(3), 135–162 (2006)

    Article  Google Scholar 

  23. Lannoy, S., Heeren, A., Rochat, L., Rossignol, M., Van der Linden, M., Billieux, J.: Is there an all-embracing construct of emotion reactivity? Adaptation and validation of the emotion reactivity scale among a French-speaking community sample. Compr. Psychiatry 55(8), 1960–1967 (2014)

    Article  Google Scholar 

  24. Shapero, B.G., Abramson, L.Y., Alloy, L.B.: Emotional reactivity and internalizing symptoms: moderating role of emotion regulation. Cogn. Ther. Res. 40(3), 328–340 (2016)

    Article  Google Scholar 

  25. Laurence, C., Smits, D., Bijttebier, P.: The Dutch version of the emotion reactivity scale (2014)

    Google Scholar 

  26. Li, Y.: Reliability and validity of the emotion reactivity scale in Chinese undergraduates. Chin. J. Clin. Psychol. 26(02), 59–62 (2018)

    Google Scholar 

  27. Jadhav, N., Manthalkar, R., Joshi, Y.: Electroencephalography-based emotion recognition using gray-level co-occurrence matrix features. In: Proceedings of International Conference on Computer Vision and Image Processing (2017)

    Google Scholar 

  28. Simon, S., Greitemeyer, T.: The impact of immersion on the perception of pornography: a virtual reality study. Comput. Hum. Behav. 93, 141–148 (2018)

    Article  Google Scholar 

  29. Ralph, M.: Deep immersion with Kasina—an exploration of meditation and concentration within virtual reality environments. In: Computing Conference, London (2017)

    Google Scholar 

  30. Quoidbach, J., Berry, E.V., Hansenne, M.: Positive emotion regulation and well-being: comparing the impact of eight savoring and dampening strategies. Pers. Individ. Differ. 49(5), 368–373 (2010)

    Article  Google Scholar 

  31. Weidner, F., Hoesch, A., Poeschl, S., Broll, W.: Comparing VR and non-VR driving simulations: an experimental user study. In: Virtual Reality (2017)

    Google Scholar 

  32. Reich, J.W., Zautra, A.J., Davis, M.: Dimensions of affect relationships: models and their integrative implications. Rev. Gen. Psychol. 7(1), 66–83 (2003)

    Article  Google Scholar 

  33. Faith, M., Thayer, J.F.: A dynamical systems interpretation of a dimensional model of emotion. Scand. J. Psychol. 42(2), 121–133 (2010)

    Article  Google Scholar 

  34. Davidson, R.J.: Affective neuroscience and psychophysiology: toward a synthesis. Psychophysiology 40(5), 655 (2003)

    Article  Google Scholar 

  35. Xin, L., Xiaoying, Q., Yanxiu, T., Xiaoqi, S., Mengdi, F., Erjuan, C.: Application of the feature extraction based on combination of permutation entropy and multi-fractal index to emotion recognition. High Technol. Lett. 26(7), 617–624 (2016)

    Google Scholar 

  36. Zhang, L.: Effects of beta band binaural beats on brain physiological status. Manned Spacefl. 22(2), 254–261 (2016)

    Google Scholar 

  37. Van Bockstaele, B., et al.: The effects of attentional bias modification on emotion regulation. J. Behav. Ther. Exp. Psychiatry 62, 38–48 (2018)

    Article  Google Scholar 

  38. Lu, J.X.: Research on the emotional priming effect in the two hemispheres of the brain. Dissertation, Nanjing Normal University (2011)

    Google Scholar 

  39. Thompson, R.A.: Emotion and self-regulation. In: Nebraska Symposium on Motivation, vol. 36, p. 367 (1988)

    Google Scholar 

  40. Thompson, R.A.: Emotion regulation: a theme in search of definition. Monogr. Soc. Res. Child Dev. 59(2-3), 25–52 (2010)

    Article  Google Scholar 

  41. Zhang, J., Li, Y.S., Zhou, R.L.: The lateralization of the human brain to the processing of high and low arousal emotion pictures: research from event-related potentials. Chinese Psychological Society (2007)

    Google Scholar 

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Acknowledgements

This work is supported by “Science and Technology Program of Guangzhou” (201704020043), and “Natural Science Foundation of Guangdong Province, China” (2018A030310407).

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Authors and Affiliations

  1. South China University of Technology, Guangzhou, 510006, China

    Guodong Liang, Xiangmin Xu & Zicong Zheng

  2. Guangdong Brainview Intelligent Technology Co., Ltd., Foshan, 528200, China

    Xiaojie Xing

  3. Guangzhou Huiai Hospital, Guangzhou, 510370, China

    Jianxiong Guo

Authors
  1. Guodong Liang
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  2. Xiangmin Xu
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  3. Zicong Zheng
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  4. Xiaojie Xing
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  5. Jianxiong Guo
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Corresponding authors

Correspondence to Xiangmin Xu or Jianxiong Guo .

Editor information

Editors and Affiliations

  1. Capital Normal University, Beijing, China

    Peipeng Liang

  2. York University, Toronto, ON, Canada

    Vinod Goel

  3. Shanghai University of Traditional Chinese Medicine, Shanghai, China

    Chunlei Shan

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Liang, G., Xu, X., Zheng, Z., Xing, X., Guo, J. (2019). EEG Signal Indicator for Emotional Reactivity. In: Liang, P., Goel, V., Shan, C. (eds) Brain Informatics. BI 2019. Lecture Notes in Computer Science(), vol 11976. Springer, Cham. https://doi.org/10.1007/978-3-030-37078-7_1

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  • DOI: https://doi.org/10.1007/978-3-030-37078-7_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37077-0

  • Online ISBN: 978-3-030-37078-7

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