Studies of Interrelated Changes in Brain Activity During Social Interactions Using Hyperscanning

161

Abstract

The neurophysiological mechanisms underlying social behavior are still poorly understood. An increasing number of international studies uses hyperscanning for simultaneous recording of brain activation from several individuals during social interaction. Despite the outstanding school of Russian social psychology, the number of studies investigating the neurophysiological basis of social behavior in humans is still limited in the Russian literature. The goal of the present work was to review the hyperscanning methods, i.e., methods for simultaneous recording of physiological indices used to investigate inter-brain synchronization during social interactions. The paper discusses methods for recording and analysis of multi-subject data representing the changes in brain activity, existing experimental and naturalistic models, key results, as well as applied and fundamental aspects of the implementation of this technique in social psychology and neuroscience. Introduction of the methods which allow for a better understanding of physiological mechanisms of social interactions may significantly contribute to the development of innovative approaches to improving educational process, teamwork in various professional areas, social welfare, and psychosomatic health of people.

General Information

Keywords: social interaction, hyperscanning, synchronous brain activity, electroencephalography, magnetoencephalography, functional near-infrared spectroscopy, functional magnetic resonance imaging

Journal rubric: Psychophysiology

Article type: review article

DOI: https://doi.org/10.17759/exppsy.2021140411

Funding. The reported study was funded by Russian Foundation for Basic Research (RFBR), project number 19-115-50143.

Acknowledgements. The authors are grateful for anonymous reviewer for insightful suggestings and helpful comments on our manuscript.

Received: 17.08.2020

Accepted:

For citation: Murtazina E.P., Buyanova I.S. Studies of Interrelated Changes in Brain Activity During Social Interactions Using Hyperscanning. Eksperimental'naâ psihologiâ = Experimental Psychology (Russia), 2021. Vol. 14, no. 4, pp. 205–223. DOI: 10.17759/exppsy.2021140411. (In Russ., аbstr. in Engl.)

References

  1. Alexandrov Yu.I. Makrostruktura deyatel’nosti I ierarhiya funkcional’nyh system [Macrostructure of activity and hierarchy of functional systems]. Psihologicheskij Zhurnal. 1995. Vol. 16. № 1. pp. 26—30. (In Russ., а in Engl.).
  2. Anohin P.K. Uzlovye voprosy teorii funkcional’noj sistemy [Key questions of the theory of functional systems]. K. Anohin, Izd-vo «Nauka». 1980. 196 P. (In Russ.).
  3. Apanovich V.V., Bezdenezhnyh B.N., Znakov V.V., Sams M., Yaaskelajnen I., Aleksandrov Yu.I. Razlichiya mozgovogo obespecheniya individual’nogo, kooperativnogo I konkurentnogo povedeniya u sub”ektov s analiticheskim i holisticheskim kognitivnymi stilyami [Differences in the brain supply of individual, cooperative and competitive behavior in subjects with analytical and holistic cognitive styles]. Eksperimental’naya psihologiya. 2016. Vol. 9. № 2. pp. 5—22. DOI:10.17759/exppsy.2016090202 DOI:10.17759/exppsy.2016090202 (In Russ., а in Engl.)
  4. Zhuravlev A.L., Yurevich A.V. Vmesto vvedeniya: osnovnye tipy tendencij razvitiya psihologii [Instead of an introduction: the main types of trends in the development of psychology]. Novye tendencii I perspektivy psihologicheskoj nauki / Otv. red. A.L. Zhuravlev, A.V. Yurevich. : IP RAN. 2019. pp. 5—8. (In Russ.).
  5. Murtazina E.P., Matyul’ko I.S., Zhuravlev B.V. Somatovegetativnye komponenty social’nyh vzaimodejstvij (obzor) [Somato-vegetative components of social interactions (review)]. Zhurnal Mediko-Biologicheskih Issledovanij. 2019. Vol. 7. № 3. pp. 349—362. DOI:10.17238/issn2542-1298.2019.7.3.349. (In Russ., а in Engl.).
  6. Abe M.O., Koike T., Okazaki S., Sugawara S.K., Takahashi K., Watanabe K., Sadato N. Neural correlates of online cooperation during joint force production // NeuroImage. Vol. 191. P. 150—161. DOI:10.1016/j.neuroimage.2019.02.003
  7. Ahn S., Cho H., Kwon M., Kim K., Kwon H., Kim B.S., Chang W.S., Chang W.J., Jun S.Ch. Interbrain phase synchronization during turn-taking verbal interaction—a hyperscanning study using simultaneous EEG/MEG // Human Brain Mapping. Vol. 39. № 1. P. 171—188. DOI:10.1002/hbm.23834
  8. Allsop J.S., Vaitkus T., Marie D., Miles L. Coordination and collective performance: cooperative goals boost interpersonal synchrony and task outcomes // Frontiers in Psychology. Vol. 7. P. 1462. DOI:10.3389/fpsyg.2016.01462
  9. Anders S., Heinzle J., Weiskopf N., Ethofer T., John-Dylan Haynes J.-D. Flow of affective information between communicating brains // NeuroImage. Vol. 54. № 1. P. 439—446. DOI:10.1016/j. neuroimage.2010.07.004
  10. Ayrolles A., Brun F., Chen P., Djalovski A., Beauxis Y., Delorme R., Bourgeron T., Dikker S., Dumas G. HyPyP: a Hyperscanning Python Pipeline for inter-brain connectivity analysis // Soc Cogn Affect Neurosci. Vol. 16. № 1-2). P. 72-83. DOI:10.1093/scan/nsaa141
  11. Babiloni F., Astolfi L. Social neuroscience and hyperscanning techniques: past, present and future // Neuroscience and biobehavioral reviews. Vol. 44. P. 76—93. DOI:10.1016/j.neubiorev.2012.07.006
  12. Babiloni F., Astolfi L., Cincotti F., Mattia D., Tocci A., Tarantino A., Marciani Mg., Salinari S., Gao S., Colosimo A., De Vico Fallani F. Cortical activity and connectivity of human brain during the Prisoner’s Dilemma: an EEG hyperscanning study // 2007. 4953—4956. DOI:10.1109/IEMBS.2007.4353452
  13. Balconi M., Vanutelli M.E. Brains in competition: improved cognitive performance and inter-brain coupling by hyperscanning paradigm with functional near-infrared spectroscopy // Frontiers in Behavioral Neuroscience. Vol. 11. P. 163. DOI:10.3389/fnbeh.2017.00163
  14. Balconi M., Vanutelli M.E. Cooperation and competition with hyperscanning methods: review and future application to emotion domain // Frontiers in Computational Neuroscience. 2017. Vol. 11. P. 86. DOI:10.3389/fncom.2017.00086
  15. Bevilacqua D., Davidesco I., Wan L., Chaloner K., Rowland J., Ding M., Poeppel D., Dikker S. Brain-to-Brain synchrony and learning outcomes vary by student—teacher dynamics: evidence from a real-world classroom electroencephalography study // Journal of Cognitive Neuroscienc 2018. Vol. 31. № 3. P. 401— 411. DOI:10.1162/jocn_a_01274
  16. Bilek E., Ruf M., Schäfer A., Akdeniz C., Calhoun V.D., Schmahl C., Demanuele C., Tost H., Kirsch P., Meyer-Lindenberg A. Information flow between interacting human brains: Identification, validation, and relationship to social expertise // Proceedings of the National Academy of Sciences. Vol. 112. № 16. P. 5207—5212. DOI:10.1073/pnas.1421831112
  17. Caruana N., Brock J., Woolgar A. A frontotemporoparietal network common to initiating and responding to joint attention bids // NeuroImage. Vol. 108. P. 34—46. DOI:10.1016/j.neuroimage.2014.12.041
  18. Ciaramidaro A., Becchio C., Colle L., Bara B.G., Walter H. Do you mean me? Communicative intentions recruit the mirror and the mentalizing system // Social Cognitive and Affective Neuroscience. Vol. 9. № 7. P. 909—916. DOI:10.1093/scan/nst062
  19. Czeszumski A., Eustergerling S., Lang A., Menrath D., Gerstenberger M., Schuberth S., Schreiber F., Rendon Z.Z., König P. Hyperscanning: a valid method to study neural inter-brain underpinnings of social interaction // Frontiers in Human Neuroscience. Vol. 14. P. 39. DOI:10.3389/fnhum.2020.00039
  20. Davidesco I., Laurent E., Valk H., West T., Dikker S., Milne C., Poeppel D. Brain-to-brain synchrony between students and teachers predicts learning outcomes // bioRxiv. P. 644047. DOI:10.1101/644047
  21. Dikker S., Wan L., Davidesco I., Kaggen L., Oostrik M., James McClintock J., Rowland J., Michalareas G., Van Bavel J.J., Ding M., Poeppel D. Brain-to-brain synchrony tracks real-world dynamic group interactions in the classroom // Current Biology. Vol. 27. № 9. P. 1375—1380. DOI:10.1016/j.cub.2017.04.002
  22. Dmochowski J.P., Sajda P., Dias J., Parra L.C. Correlated components of ongoing eeg point to emotionally laden attention — a possible marker of engagement? // Frontiers in Human Neuroscience. Vol. 6. P. 112. DOI:10.3389/fnhum.2012.00112
  23. Duane T.D., Behrendt T. Extrasensory electroencephalographic induction between identical twins // Science (New York, N.Y.). Vol. 150. № 3694. P. 367. DOI:10.1126/science.150.3694.367
  24. Dumas G., Martinerie J., Soussignan R., Nadel J. Does the brain know who is at the origin of what in an imitative interaction? // Frontiers in Human Neuroscience. Vol. 6. P. 128. DOI:10.3389/ fnhum.2012.00128
  25. Dumas G., Nadel J., Soussignan R., Martinerie J., Garnero L. Inter-brain synchronization during social interaction // PLOS ONE. 2010. 5. № 8. P. e12166. DOI:10.1371/journal.pone.0012166
  26. Fallani F.D.V., Nicosia V., Sinatra R., Astolfi L., Cincotti F., Mattia D., Wilke C., Doud A., Latora V., He B., Babiloni F. Defecting or not defecting: how to “read” human behavior during cooperative games by EEG measurements // PLOS ONE. 2010. 5. № 12. P. e14187. DOI:10.1371/journal.pone.0014187
  27. Funane T., Kiguchi M., Atsumori H., Sato H., Kubota K., Koizumi H. Synchronous activity of two people’s prefrontal cortices during a cooperative task measured by simultaneous near-infrared spectroscopy // Journal of Biomedical Optics. Vol. 16. № 7. P. 077011. DOI:10.1117/1.3602853
  28. Gebauer L., Witek M.G., Hansen N.C., Thomas J., Konvalink, I., Vuust P. Oxytocin improves synchronisation in leader-follower interaction // Scientific Reports. Vol. 6. № 1. P. 38416. DOI:10.1038/srep38416
  29. Hari R., Kujala M. Brain basis of human social interaction: from concepts to brain imaging // Physiological reviews. Vol. 89. P. 453—79. DOI:10.1152/physrev.00041.2007
  30. Hasson U, Frith CD. Mirroring and beyond: coupled dynamics as a generalized framework for modelling social interactions // Philos Trans R Soc Lond B Biol Sci. 2016. 371. P. 1693. DOI:10.1098/rstb.2015.0366
  31. Hirsch J., Adam Noah J., Zhang X., Dravida S., Ono Y. A cross-brain neural mechanism for human-to-human verbal communication // Social Cognitive and Affective Neuroscience. Vol. 13. № 9. P. 907— 920. DOI:10.1093/scan/nsy070
  32. Hirsch J., Zhang X., Noah J.A., Ono Y. Frontal temporal and parietal systems synchronize within and across brains during live eye-to-eye contact // NeuroImage. Vol. 157. P. 314—330. DOI:10.1016/j. neuroimage.2017.06.018
  33. Hu Y., Hu Y., Li X., Pan Y., Cheng X. Brain-to-brain synchronization across two persons predicts mutual prosociality // Social Cognitive and Affective Neuroscience. 2017. Vol. 12. № 12. P. 1835—1844. DOI:10.1093/scan/nsx118
  34. Hu Y., Pan Y., Shi X., Cai Q., Li X., Cheng X. Inter-brain synchrony and cooperation context in interactive decision making // Biological Psychology. Vol. 133. P. 54—62. DOI:10.1016/j.biopsycho.2017.12.005
  35. Jiang J., Dai B., Peng D., Zhu C., Liu L., Lu C. Neural Synchronization during Face-to-Face Communication // Journal of Neuroscience. Vol. 32. № 45. P. 16064—16069. DOI:10.1016/j. neuroimage.2017.06.024
  36. Josef L., Goldstein P., Mayseless N., Ayalon L., Shamay-Tsoory S.G. The oxytocinergic system mediates synchronized interpersonal movement during dance // Scientific Reports. Vol. 9. № 1. P. 1894. DOI:10.1038/s41598-018-37141-1
  37. Kawasaki M., Yamada Y., Ushiku Y., Miyauchi E., Yamaguchi Y. Inter-brain synchronization during coordination of speech rhythm in human-to-human social interaction // Scientific Reports. Vol. 3. № 1. P. 1—8. DOI:10.1038/srep01692
  38. Koike T., Tanabe H.C., Okazaki S., Nakagawa E., Sasaki A.T., Shimada K., Sugawara S.K., Takahashi H.K., Yoshihara K., Bosch-Bayard J., Sadato N. Neural substrates of shared attention as social memory: A hyperscanning functional magnetic resonance imaging study // NeuroImage. Vol. 125. P. 401—412. DOI:10.1016/j.neuroimage.2015.09.076
  39. Kuhlen A.K., Allefeld C., Haynes J.-D. Content-specific coordination of listeners’ to speakers’ EEG during communication // Frontiers in Human Neuroscience. Vol. 6. P. 266. DOI:10.3389/fnhum.2012.00266
  40. Lachat F., Hugeville L., Lemarechal J.-D., Conty L., George N. Oscillatory brain correlates of live joint attention: a dual-EEG study // Frontiers in Human Neuroscience. Vol. 6. P. 156. DOI:10.3389/ fnhum.2012.00156
  41. Lee R.F., Dai W., Jones J. Decoupled circular-polarized dual-head volume coil pair for studying two interacting human brains with dyadic fMRI // Magnetic Resonance in Medicine. Vol. 68. № 4. P. 1087—1096. DOI:10.1002/mrm.23313
  42. Lee S., Cho H., Kim K., Jun S.C. Simultaneous EEG acquisition system for multiple users: development and related issues // Sensors. Vol. 19. № 20. P. 4592. DOI:10.3390/s19204592
  43. Leong V., Schilbach L. The promise of two-person neuroscience for developmental psychiatry: using interaction-based sociometrics to identify disorders of social interaction // The British Journal of Psychiatry. Vol. 215. № 5. P. 636—638. DOI:10.1192/bjp.2019.73.
  44. Levy J., Goldstein A., Feldman R. Perception of social synchrony induces mother—child gamma coupling in the social brain // Social Cognitive and Affective Neuroscience. Vol. 12. № 7. P. 1036— 1046. DOI:10.1093/scan/nsx032
  45. Li T., Li G., Xue T., Zhang J. Analyzing brain connectivity in the mutual regulation of emotion— movement using bidirectional granger causality // Frontiers in Neuroscience. Vol. 14. P. 369. DOI:10.3389/fnins.2020.00369
  46. Liu D., Liu S., Liu X., Zhang C., Li A., Jin C., Chen Y., Wang H., Zhang X. Interactive brain activity: review and progress on EEG-based hyperscanning in social interactions // Frontiers in Psychology. Vol. 9. P. 1862. DOI:10.3389/fpsyg.2018.01862
  47. Mandel A., Bourguignon M., Parkkonen L., Hari R. Sensorimotor activation related to speaker vs. listener role during natural conversation // Neuroscience Letters. Vol. 614. P. 99—104. DOI:10.1016/j. neulet.2015.12.054
  48. Montague P.R., Berns G.S., Cohen J.D.,King R.D., Apple N., Fisher R.E. Hyperscanning: simultaneous fMRI during linked social interactions // NeuroImage. Vol. 16. № 4. P. 1159—1164. DOI:10.1006/ nimg.2002.1150
  49. Mu Y., Guo C., Han S. Oxytocin enhances inter-brain synchrony during social coordination in male adults // Social Cognitive and Affective Neuroscience. Vol. 11. № 12. P. 1882—1893. DOI:10.1093/ scan/nsw106
  50. Müller V., Lindenberger U. Hyper-brain networks support romantic kissing in humans // PLoS ONE. 2014. 9. № 11. DOI:10.1371/journal.pone.0112080.
  51. Müller V., Sänger J., Lindenberger U. Intra- and inter-brain synchronization during musical improvisation on the guitar // PloS One. 2013. 8. № 9. P. e73852. DOI:10.1093/scan/nsw106
  52. Naeem M., Prasad G., Watson D.R., Kelso J.A.S. Functional dissociation of brain rhythms in social coordination // Clinical Neurophysiology. 2012b. Vol. 123. № 9. P. 1789—1797. DOI:10.1016/j. clinph.2012.02.065
  53. Nastase S.A., Gazzola V., Hasson U., Keysers C. Measuring shared responses across subjects using intersubject correlation // Social Cognitive and Affective Neuroscience. Vol. 14. № 6. P. 667—685. DOI:10.1093/scan/nsz037
  54. Novembre G., Knoblich G., Dunne L., Keller P.E. Interpersonal synchrony enhanced through 20 Hz phase-coupled dual brain stimulation // Social Cognitive and Affective Neuroscience. Vol. 12. № 4. P. 662—670. DOI:10.1093/scan/nsw172
  55. Novembre G., Sammler D., Keller P.E. Neural alpha oscillations index the balance between self-other integration and segregation in real-time joint action // Neuropsychologia. Vol. 89. P. 414—425. DOI:10.1016/j.neuropsychologia.2016.07.027
  56. Nozawa T., Sasaki Y., Sakaki K., Yokoyama R., Kawashima R. Interpersonal frontopolar neural synchronization in group communication: An exploration toward fNIRS hyperscanning of natural interactions // NeuroImage. Vol. 133. P. 484—497. DOI:10.1016/j.neuroimage.2016.03.059
  57. Pan Y., Cheng X. Two-person approaches to studying social interaction in psychiatry: uses and clinical relevance // Frontiers in Psychiatry. Vol. 11. P. 301. DOI:10.3389/fpsyt.2020.00301
  58. Pan Y., Cheng X., Zhang Z., Li X., Hu Y. Cooperation in lovers: An fNIRS-based hyperscanning study. // Human Brain Mapping. Vol. 38. № 2. P. 831—841. DOI:10.1002/hbm.23421
  59. Pan Y., Dikker S., Goldstein P., Zhu Y., Yang C., Hu Y. Instructor-learner brain coupling discriminates between instructional approaches and predicts learning // NeuroImage. Vol. 211. P. 116657. DOI:10.1016/j.neuroimage.2020.116657
  60. Poulsen A.T., Kamronn S., Dmochowski J., Parra L.C., Hansen L.K. EEG in the classroom: synchronised neural recordings during video presentation // Scientific Reports. Vol. 7. № 1. P. 43916. DOI:10.1038/ srep43916
  61. Redcay E., Dodell-Feder D., Pearrow M.J., Mavros P.L., Kleiner M., Gabrieli J.D.E., Saxe R. Live face-to-face interaction during fMRI: a new tool for social cognitive neuroscience // NeuroImage. Vol. 50. № 4. P. 1639—1647. DOI:10.1016/j.neuroimage.2010.01.052
  62. Redcay E., Schilbach L. Using second-person neuroscience to elucidate the mechanisms of social interaction // Nature Reviews Neuroscience. Vol. 20. № 8. P. 495—505. DOI:10.1038/s41583-019-0179-4
  63. Renvall V., Kauramäki J., Malinen S., Hari R., Nummenmaa L. Imaging real-time tactile interaction with two-person dual-coil fMRI // Frontiers in Psychiatry. Vol. 11. P. 279. DOI:10.3389/fpsyt.2020.00279
  64. Saito D.N., Tanabe H.C., Izuma K., Hayashi M.J., Morito Y., Komeda H., Uchiyama H., Kosaka H., Okazawa H., Fujibayashi Y., Sadato N. “Stay tuned”: inter-individual neural synchronization during mutual gaze and joint attention // Frontiers in Integrative Neuroscience. Vol. 4. P. 127. DOI:10.3389/ fnint.2010.00127
  65. Sänger J., Müller V., Lindenberger U. Intra- and interbrain synchronization and network properties when playing guitar in duets // Frontiers in Human Neuroscience. Vol. 6. P. 312. DOI:10.3389/ fnhum.2012.00312
  66. Schilbach L., Timmermans B., Reddy V., Costall A., Bente G., Schlicht T., Vogeley K. Toward a second-person neuroscience // Behavioral and Brain Sciences. Vol. 36. № 4. P. 393—414. DOI:10.1017/ S0140525X12000660
  67. Schilbach L., Wilms M., Eickhoff S.B., Romanzetti S., Tepest R., Bente G., Shah N.J., Fink G.R., Vogeley K. Minds made for sharing: initiating joint attention recruits reward-related neurocircuitry // Journal of Cognitive Neuroscience. Vol. 22. № 12. P. 2702—2715. DOI:10.1162/jocn.2009.21401
  68. Schirmer A, Fairhurst M, Hoehl S. Being ‘in sync’-is interactional synchrony the key to understanding the social brain? // Soc Cogn Affect Neurosci. 2021; Vol. 16. № 1-2. P. 1-4. DOI:10.1093/scan/nsaa148
  69. Stolk A., Noordzij M.L., Verhagen L., Volman I., Schoffelen J.-M., Oostenveld R., Hagoort P., Toni I. Cerebral coherence between communicators marks the emergence of meaning // Proceedings of the National Academy of Sciences. Vol. 111. № 51. P. 18183—18188. DOI:10.1073/pnas.1414886111
  70. Szymanski C., Müller V., Brick T.R., von Oertzen T., Lindenberger U. Hyper-transcranial alternating current stimulation: experimental manipulation of inter-brain synchrony // Frontiers in Human Neuroscience. Vol. 11. P. 539. DOI:10.3389/fnhum.2017.00539
  71. Szymanski C., Pesquita A., Brennan A.A., Perdikis D., Enns J.T., Brick T.R., Müller V., Lindenberger U. Teams on the same wavelength perform better: Inter-brain phase synchronization constitutes a neural substrate for social facilitation // NeuroImage. 2017. Vol. 152. P. 425—436. DOI:10.1016/j. neuroimage.2017.03.013
  72. Tomlin D., Kayali M.A., King-Casas B., Anen C., Camerer C.F., Quartz S.R., Montague P.R. Agent-specific responses in the cingulate cortex during economic exchanges // Science. Vol. 312. № 5776. P. 1047—1050. DOI:10.1126/science.1125596
  73. Toppi J., Borghini G., Petti M., He E.J., Giusti V.D., He B., Astolfi L., Babiloni F. Investigating cooperative behavior in ecological settings: an EEG hyperscanning study // PLOS ONE. 2016. 11. № 4. P. e0154236. DOI:10.1371/journal.pone.0154236
  74. Wang C., Zhang T., Shan Z., Liu J., Yuan D., Li X. Dynamic interpersonal neural synchronization underlying pain-induced cooperation in females // Human Brain Mapping. Vol. 40. № 11. P. 3222— 3232. DOI:10.1002/hbm.24592
  75. Xu J., Slagle J.M., Banerjee A., Bracken B., Weinger M.B. Use of a portable functional near-infrared spectroscopy (fNIRS) system to examine team experience during crisis event management in clinical simulations // Frontiers in Human Neuroscience. Vol. 13. P. 85. DOI:10.3389/fnhum.2019.00085
  76. Yun K., Chung D., Jeong J. Emotional interactions in human decision making using EEG hyperscanning // In Proceedings of the 6th International Conference on Cognitive Science. P. 327-330.
  77. Zhang M., Liu T., Pelowski M., Yu D. Gender difference in spontaneous deception: A hyperscanning study using functional near-infrared spectroscopy // Scientific Reports. Vol. 7. № 1. P. 7508. DOI:10.1038/s41598-017-06764-1
  78. Zhang Y., Meng T., Hou Y., Pan Y., Hu Y. Interpersonal brain synchronization associated with working alliance during psychological counseling // Psychiatry Research: Neuroimaging. V. 282. P. 103—109. DOI:10.1016/j.pscychresns.2018.09.007
  79. Zhdanov A., Nurminen J., Baess P., Hirvenkari L., Jousmäki V., Mäkelä P., Mandel A., Meronen L., Hari R., Parkkonen L. An internet-based real-time audiovisual link for dual MEG recordings // PLOS ONE. 2015. Vol. 10. № 6. P. e0128485. DOI:10.1371/journal.pone.0128485
  80. Zhou G., Bourguignon M., Parkkonen L., Hari R. Neural signatures of hand kinematics in leaders vs. followers: A dual-MEG study // NeuroImage. Vol. 125. P. 731—738. DOI:10.1016/j. neuroimage.2015.11.002

Information About the Authors

Elena P. Murtazina, PhD in Medicine, Leading Research Associate, P.K. Anokhin Institute of Normal Physiology, Moscow, Russia, ORCID: https://orcid.org/0000-0002-4243-8727, e-mail: e.murtazina@nphys.ru

Irina S. Buyanova, Junior Research Associate, P.K. Anokhin Institute of Normal Physiology, Moscow, Russia, ORCID: https://orcid.org/0000-0001-9105-3172, e-mail: irinamatulko@gmail.com

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