Influence of verbal and nonverbal signals on an interlocutor’s electroencephalogram

Zhukova, O.V., Shelepin, Y.E., Shchemeleva, О.V., Vasiliev, P.P., Moiseenko, G.A.

Full text «Opticheskii Zhurnal»

Full text on elibrary.ru

Publication in Journal of Optical Technology

For Russian citation (Opticheskii Zhurnal):

Жукова О.В., Шелепин Ю.Е., Щемелева О.В., Васильев П.П., Моисеенко Г.А. Воздействие вербальных и невербальных сигналов на электроэнцефалограмму собеседника // Оптический журнал. 2018. Т. 85. № 8. С. 13–21. http://doi.org/10.17586/1023-5086-2018-85-08-13-21

Zhukova O.V., Shelepin Yu.E., Shchemeleva O.V., Vasiliev P.P., Moiseenko G.A. Influence of verbal and nonverbal signals on an interlocutor’s electroencephalogram [in Russian] // Opticheskii Zhurnal. 2018. V. 85. № 8. P. 13–21. http://doi.org/10.17586/1023-5086-2018-85-08-13-21

For citation (Journal of Optical Technology):

O. V. Zhukova, Yu. E. Shelepin, O. V. Shchemeleva, P. P. Vasil’ev, and G. A. Moiseenko, "Influence of verbal and nonverbal signals on an interlocutor’s electroencephalogram," Journal of Optical Technology. 85(8), 455-462 (2018). https://doi.org/10.1364/JOT.85.000455

Abstract:

A technique and a hardware–software complex have been developed for simultaneously recording the electrical activity of the brains of two people. It is shown that statistically significant differences appear between the various regimes and interaction conditions of the interlocutors in all frequency ranges except for the alpha range if the interlocutors are placed back-to-back. It is shown that mimicry plays a very important role in social interaction. Under definite conditions, mimicry can appear both in the role of noise, smoothing out the differences between the various interaction regimes, and on the other hand, emphasizing and amplifying these differences.

Keywords:

spectrum analysis, frequency, mimicry, speech, social interaction, electroencephalography

Acknowledgements:

The research was supported by the Fundamental Scientific Research Program of State Academies in 2013–2020 (GP-14, Section 63).

OCIS codes: 070.2615, 070.4790, 070.500

References:

1. C. Cherry, On Human Communication: A Review, a Survey, and a Criticism (MIT Press, Cambridge, Mass., 1978; Svyaz’, Moscow, 1972).
2. V. M. Bondarko, M. V. Danilova, S. D. Solnushkin, and V. N. Chikhman, “The crowding effect and attention,” Fiziol. Chel. 38(1), 33–40 (2010).
3. Yu. E. Shelepin, Introduction to Neuroiconics: A Monograph (Troitskiı˘ Most, St. Petersburg, 2017).
4. M. Tamietto and B. de Gelder, “Neural bases of the non-conscious perception of emotional signals,” Nat. Rev. Neurosci. 11(10), 697–709 (2010).
5. J. Jiang, B. Dai, D. Peng, C. Zhu, L. Liu, and C. Lu, “Neural synchronization during face-to-face communication,” J. Neurosci. 32(45), 16064–16069 (2012).
6. V. A. Ponomarev, “Latent sources of the electroencephalogram and event-associated potentials and their significance,” Author’s Abstract of Doctoral Dissertation, St. Petersburg, N. P. Bekhterova Institute of the Human Brain, 2016.
7. F. Perrin, J. Pernier, O. Bertrand, and J. F. Echallier, “Spherical splines for scalp potential and current density mapping,” Electroencephalogr. Clin. Neurophysiol. 72, 184–187 (1989).
8. S. D. Muthukumaraswamy, B. W. Johnson, and N. A. McNair, “Murhythm modulation during observation of an object-directed grasp,” Cognit. Brain Res. 19, 195–201 (2004).
9. J. A. Pineda, “The functional significance of mu rhythms: translating ‘seeing’ and ‘hearing’ into ‘doing’,” Brain Res. Rev. 50, 57–68 (2005).
10. B. C. M. Van Wijk, P. J. Beek, and A. Daffertshofer, “Neural synchrony within the motor system: what have we learned so far?” Front. Hum. Neurosci. 6, 1–15 (2012).
11. N. Swann, N. Tandon, R. Canolty, T. M. Ellmore, L. K. McEvoy, S. Dreyer, M. DiSano, and A. R. Aron, “Intracranial EEG reveals a time and frequency—specific role for the right inferior frontal gyrus and primary motor cortex in stopping initiated responses,” J. Neurosci. 29, 12675–12685 (2009).
12. A. Posada, E. Hugues, N. Franck, P. Vianin, and J. Kilner, “Augmentation of induced visual gamma activity by increased task complexity,” Eur. J. Neurosci. 18, 2351–2356 (2003).