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Electroencephalogram Dynamics during Social Communication among Multiple Persons

  • Naoyuki Sato
  • Taiki Sato
  • Takeya Okazaki
  • Mitsuru Takami
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8226)

Abstract

The brain dynamics of social behavior are important for understanding the group intelligence that occurs in humans. Coordinated behavior between two subjects has been used as an experimental model of social behavior, but the creativity occurring in a group of multiple persons has not yet been discussed. In this study, a rhythmic communication task was proposed as a model of social communication, and simultaneous electroencephalogram (EEG) of three subjects were evaluated. Results showed that the decrease of theta-band power in the EEG was correlated with the rhythm delay in the ensemble pattern, and the decreases of upper and lower alpha-band power were associated with the rhythm tempo and the rareness of ensemble pattern. This suggests that the theta- and alpha-band powers in the EEG associate with social communication and cross-frequency EEG dynamics is essential for understanding the creativity in the social behavior.

Keywords

brain oscillations electroencephalogram creativity social coordination music synchronization 

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References

  1. 1.
    Adolphs, R.: Cognitive neuroscience of human social behaviour. Nat. Rev. Neurosci. 4, 165–178 (2003)CrossRefGoogle Scholar
  2. 2.
    Tognoli, E., Lagarde, J., DeGuzman, G.C., Kelso, J.A.: The phi complex as a neuromarker of human social coordination. Proc. Natl. Acad. Sci. USA 104, 8190–8195 (2007)CrossRefGoogle Scholar
  3. 3.
    Hasson, U., Ghazanfar, A.A., Galantucci, B., Garrod, S., Keysers, C.: Brain-to-brain coupling: a mechanism for creating and sharing a social world. Trends Cogn. Sci. 16, 114–121 (2012)CrossRefGoogle Scholar
  4. 4.
    Dietrich, A., Kanso, R.: A review of EEG, ERP, and neuroimaging studies of creativity and insight. Psychol. Bull. 136, 822–848 (2010)CrossRefGoogle Scholar
  5. 5.
    Repp, B.H.: Sensorimotor synchronization: a review of the tapping literature. Psychon. Bull. Rev. 12, 969–992 (2005)CrossRefGoogle Scholar
  6. 6.
    Sammler, D., Grigutsch, M., Fritz, T., Koelsch, S.: Music and emotion: electrophysiological correlates of the processing of pleasant and unpleasant music. Psychophysiology 44, 293–304 (2007)CrossRefGoogle Scholar
  7. 7.
    Schmidt, L.A., Trainor, L.J.: Frontal brain electrical activity (EEG) distinguishes valence and intensity of musical emotions. Cognition and Emotion 15, 487–500 (2001)Google Scholar
  8. 8.
    Krumhansl, C.L.: An exploratory study of musical emotions and psychophysiology. Can. J. Exp. Psychol. 51, 336–353 (1997)CrossRefGoogle Scholar
  9. 9.
    Nakahara, H., Furuya, S., Obata, S., Masuko, T., Kinoshita, H.: Emotion-related changes in heart rate and its variability during performance and perception of music. Ann. New York Acad. Sci. 1169, 359–362 (2009)CrossRefGoogle Scholar
  10. 10.
    Jacobs, J., Hwang, G., Curran, T., Kahana, M.J.: EEG oscillations and recognition memory: theta correlates of memory retrieval and decision making. NeuroImage 32, 978–987 (2006)CrossRefGoogle Scholar
  11. 11.
    Klimesch, W.: EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis. Brain Res. Brain Res. Rev. 29, 169–195 (1999)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Naoyuki Sato
    • 1
  • Taiki Sato
    • 1
  • Takeya Okazaki
    • 1
  • Mitsuru Takami
    • 1
  1. 1.Department of Complex and Intelligent Systems, School of Systems Information ScienceFuture University HakodateHakodate-shiJapan

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