Abstract
The article assesses the intersubject synchronization of bioelectric activity during competitive performance in dyads of creative and non-creative verbal tasks. The study involved 22 pairs of volunteers from 18 to 23 years old. Participants synchronously performed creative (to create original ways to use everyday objects) and non-creative (to list objects from the proposed category) tasks in the conditions of competition with each other. Two methods of calculating the intersubject synchronization are considered: phase locking value and circular correlation coefficient. To detect non-random changes, a permutation approach was used, and artificially noisy comparison samples (controls) were generated by permutation the initial time series: (a) by epochs (2 s) and (b) by each separate time points. Circular correlation coefficients were more “stable” (gave reproducibly similar results) when compared with different controls generated by the permutation approach than phase locking value. We obtained by the analysis of circular correlation coefficients in comparison with the control data generated on the basis of permutation of separate time points: during creative activity, there was mainly an increase in intersubject synchronization in the theta (4–7.8 Hz), alpha-2 (10–13.4 Hz) and beta (13.5–30 Hz) EEG frequency bands, in alpha-1 (8–9.8 Hz), synchronization between the participants decreased. During the control task, bidirectional changes of intersubject synchronization were observed: decrease in theta and alpha-1 frequency bands, bidirectional changes in alpha-2 and beta bands. The comparison of the results shows that in creative activity, even in the conditions of competition, there is a greater intersubject synchronization than in non-creative activity.
REFERENCES
Stephens, G.J., Silbert, L.J., and Hasson, U., Speaker-listener neural coupling underlies successful communication, Proc. Natl. Acad. Sci. U.S.A., 2010, vol. 107, no. 32, p. 14425.
Babiloni, F. and Astolfi, L., Social neuroscience and hyperscanning techniques: past, present and future, Neurosci. Biobehav. Rev., 2014, vol. 44, p. 76.
Acquadro, M.A., Congedo, M., and De Riddeer, D., Music performance as an experimental approach to hyperscanning studies, Front. Hum. Neurosci., 2016, vol. 10, p. 242.
Hu, Y., Pan, Y., Shi, X., et al. Inter-brain synchrony and cooperation context in interactive decision making, Biol. Psychol., 2018, vol. 133, p. 54.
Xue, H., Lu, K., and Hao, N., Cooperation makes two less-creative individuals turn into a highly-creative pair, NeuroImage, 2018, vol. 172, p. 527.
Mayseless, N., Hawthorne, G., and Reiss, A.L., Real-life creative problem solving in teams: fNIRS based hyperscanning study, NeuroImage, 2019, vol. 203, p. 116161.
Lu, K., Xue, H., Nozawa, T., and Hao, N., Cooperation makes a group be more creative, Cereb. Cortex., 2019, vol. 29, no. 8, p. 3457.
Nagornova, Z.V. and Shemyakina, N.V., Impact of competitive conditions on amplitudes of event-related potentials during verbal creative and noncreative task performance, J. Evol. Biochem. Physiol., 2023, vol. 59, p. 33.
Vigario, R.N., Extraction of ocular artefacts from EEG using independent component analysis, Electroencephalogr. Clin. Neurophysiol., 1997, vol. 103, no. 3, p. 395.
Jung, T.P., Makeig, S., Westerfield, M., et al., Removal of eye activity artifacts from visual event-related potentials in normal and clinical subjects, Clin. Neurophysiol., 2000, vol. 111, no. 10, p. 1745.
Ifeachor, E.C. and Jervis, B.W., Digital Signal Processing: a Practical Approach, Prentice Hall, 2001, 2nd ed.
Oppenheim, A.V. and Schafer, R.W., Discrete-Time Signal Processing, Prentice Hall, 2009, 3rd ed.
Jammalamadaka, S.R. and Sengupta, A., Topics in Circular Statistics, River Edge, NJ: World Scientific, 2001.
Fay, M.P. and Proschan, M.A., Wilcoxon—Mann—Whitney or t-test? On assumptions for hypothesis tests and multiple interpretations of decision rules, Stat. Surv., 2010, vol. 4, p. 1.
Nazneen, T., Islam, I.B., Sajal, M.S.R, et al., Recent trends in non-invasive neural recording based brain-to-brain synchrony analysis on multidisciplinary human interactions for understanding brain dynamics: a systematic review, Front. Comput. Neurosci., 2022, vol. 16, p. 875282.
Burgess, A.P., On the interpretation of synchronization in EEG hyperscanning studies: a cautionary note, Front. Hum. Neurosci., 2013, vol. 7, p. 881.
Deng, X., Yang, M., Chen, X., and Zhan, Y., The role of mindfulness on theta inter-brain synchrony during cooperation feedback processing: an EEG-based hyperscanning study, Int. J. Clin. Health Psychol., 2023, vol. 23, no. 4, p. 100396.
ACKNOWLEDGMENTS
The authors express their gratitude to V.A. Vasenkina, A.V. Grokhotova, and V.A. Galkin for assistance in carrying out the experimental part of the work.
Funding
The work was supported by the Russian Science Foundation (grant No. 22-28-02012).
Author information
Authors and Affiliations
Corresponding authors
Ethics declarations
CONFLICT OF INTEREST
The authors declare that they have no conflicts of interest.
ETHICS APPROVAL AND CONSENT TO PARTICIPATE
Study was approved by the local bioethical committee of the Sechenov Institute of Evolutionary Physiology and Biochemistry of the Russian Academy of Sciences, St. Petersburg, Russia (#1-02, February 2, 2022).
Additional information
Publisher’s Note.
Pleiades Publishing remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Nagornova, Z.V., Zyryanov, N.A. & Shemyakina, N.V. Study of Intersubject Synchronization (Changes in Phase Locking Values and Circular Correlation Coefficients) When Performing Creative and Non-Creative Verbal Tasks in Hyperscanning Conditions. Hum Physiol 49 (Suppl 1), S13–S17 (2023). https://doi.org/10.1134/S0362119723700639
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S0362119723700639