Literature DB >> 28457867

Brain-to-Brain Synchrony Tracks Real-World Dynamic Group Interactions in the Classroom.

Suzanne Dikker1, Lu Wan2, Ido Davidesco3, Lisa Kaggen3, Matthias Oostrik4, James McClintock5, Jess Rowland3, Georgios Michalareas6, Jay J Van Bavel3, Mingzhou Ding2, David Poeppel7.   

Abstract

The human brain has evolved for group living [1]. Yet we know so little about how it supports dynamic group interactions that the study of real-world social exchanges has been dubbed the "dark matter of social neuroscience" [2]. Recently, various studies have begun to approach this question by comparing brain responses of multiple individuals during a variety of (semi-naturalistic) tasks [3-15]. These experiments reveal how stimulus properties [13], individual differences [14], and contextual factors [15] may underpin similarities and differences in neural activity across people. However, most studies to date suffer from various limitations: they often lack direct face-to-face interaction between participants, are typically limited to dyads, do not investigate social dynamics across time, and, crucially, they rarely study social behavior under naturalistic circumstances. Here we extend such experimentation drastically, beyond dyads and beyond laboratory walls, to identify neural markers of group engagement during dynamic real-world group interactions. We used portable electroencephalogram (EEG) to simultaneously record brain activity from a class of 12 high school students over the course of a semester (11 classes) during regular classroom activities (Figures 1A-1C; Supplemental Experimental Procedures, section S1). A novel analysis technique to assess group-based neural coherence demonstrates that the extent to which brain activity is synchronized across students predicts both student class engagement and social dynamics. This suggests that brain-to-brain synchrony is a possible neural marker for dynamic social interactions, likely driven by shared attention mechanisms. This study validates a promising new method to investigate the neuroscience of group interactions in ecologically natural settings.
Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  brain synchrony; classroom engagement; educational neuroscience; group affinity; hyper-scanning; oscillations; portable EEG; real-world experimentation; social neuroscience

Mesh:

Year:  2017        PMID: 28457867     DOI: 10.1016/j.cub.2017.04.002

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  102 in total

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3.  Synchronized eye movements predict test scores in online video education.

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Authors:  Frank A Fishburn; Vishnu P Murty; Christina O Hlutkowsky; Caroline E MacGillivray; Lisa M Bemis; Meghan E Murphy; Theodore J Huppert; Susan B Perlman
Journal:  Soc Cogn Affect Neurosci       Date:  2018-09-05       Impact factor: 3.436

6.  Affiliative bonding between teachers and students through interpersonal synchronisation in brain activity.

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Journal:  Soc Cogn Affect Neurosci       Date:  2020-01-30       Impact factor: 3.436

Review 7.  Interpersonal Synchrony in Autism.

Authors:  Kathryn A McNaughton; Elizabeth Redcay
Journal:  Curr Psychiatry Rep       Date:  2020-02-05       Impact factor: 5.285

8.  In Vivo Magnetic Recording of Neuronal Activity.

Authors:  Laure Caruso; Thomas Wunderle; Christopher Murphy Lewis; Joao Valadeiro; Vincent Trauchessec; Josué Trejo Rosillo; José Pedro Amaral; Jianguang Ni; Patrick Jendritza; Claude Fermon; Susana Cardoso; Paulo Peixeiro Freitas; Pascal Fries; Myriam Pannetier-Lecoeur
Journal:  Neuron       Date:  2017-08-30       Impact factor: 17.173

9.  Enhancement of teaching outcome through neural prediction of the students' knowledge state.

Authors:  Lifen Zheng; Chuansheng Chen; Wenda Liu; Yuhang Long; Hui Zhao; Xialu Bai; Zhanjun Zhang; Zaizhu Han; Li Liu; Taomei Guo; Baoguo Chen; Guosheng Ding; Chunming Lu
Journal:  Hum Brain Mapp       Date:  2018-03-25       Impact factor: 5.038

10.  Multivariate model for cooperation: bridging social physiological compliance and hyperscanning.

Authors:  Nicolina Sciaraffa; Jieqiong Liu; Pietro Aricò; Gianluca Di Flumeri; Bianca M S Inguscio; Gianluca Borghini; Fabio Babiloni
Journal:  Soc Cogn Affect Neurosci       Date:  2021-01-18       Impact factor: 3.436

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