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The two-brain approach: how can mutually interacting brains teach us something about social interaction?
Measuring brain activity simultaneously from two people interacting is intuitively appealing if one is interested in putative neural markers of social interaction. However, given the complex nature of interactions, it has proven difficult to carry out two-person brain imaging experiments in a method...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2012
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3402900/ https://www.ncbi.nlm.nih.gov/pubmed/22837744 http://dx.doi.org/10.3389/fnhum.2012.00215 |
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author | Konvalinka, Ivana Roepstorff, Andreas |
author_facet | Konvalinka, Ivana Roepstorff, Andreas |
author_sort | Konvalinka, Ivana |
collection | PubMed |
description | Measuring brain activity simultaneously from two people interacting is intuitively appealing if one is interested in putative neural markers of social interaction. However, given the complex nature of interactions, it has proven difficult to carry out two-person brain imaging experiments in a methodologically feasible and conceptually relevant way. Only a small number of recent studies have put this into practice, using fMRI, EEG, or NIRS. Here, we review two main two-brain methodological approaches, each with two conceptual strategies. The first group has employed two-brain fMRI recordings, studying (1) turn-based interactions on the order of seconds, or (2) pseudo-interactive scenarios, where only one person is scanned at a time, investigating the flow of information between brains. The second group of studies has recorded dual EEG/NIRS from two people interacting, in (1) face-to-face turn-based interactions, investigating functional connectivity between theory-of-mind regions of interacting partners, or in (2) continuous mutual interactions on millisecond timescales, to measure coupling between the activity in one person's brain and the activity in the other's brain. We discuss the questions these approaches have addressed, and consider scenarios when simultaneous two-brain recordings are needed. Furthermore, we suggest that (1) quantification of inter-personal neural effects via measures of emergence, and (2) multivariate decoding models that generalize source-specific features of interaction, may provide novel tools to study brains in interaction. This may allow for a better understanding of social cognition as both representation and participation. |
format | Online Article Text |
id | pubmed-3402900 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-34029002012-07-26 The two-brain approach: how can mutually interacting brains teach us something about social interaction? Konvalinka, Ivana Roepstorff, Andreas Front Hum Neurosci Neuroscience Measuring brain activity simultaneously from two people interacting is intuitively appealing if one is interested in putative neural markers of social interaction. However, given the complex nature of interactions, it has proven difficult to carry out two-person brain imaging experiments in a methodologically feasible and conceptually relevant way. Only a small number of recent studies have put this into practice, using fMRI, EEG, or NIRS. Here, we review two main two-brain methodological approaches, each with two conceptual strategies. The first group has employed two-brain fMRI recordings, studying (1) turn-based interactions on the order of seconds, or (2) pseudo-interactive scenarios, where only one person is scanned at a time, investigating the flow of information between brains. The second group of studies has recorded dual EEG/NIRS from two people interacting, in (1) face-to-face turn-based interactions, investigating functional connectivity between theory-of-mind regions of interacting partners, or in (2) continuous mutual interactions on millisecond timescales, to measure coupling between the activity in one person's brain and the activity in the other's brain. We discuss the questions these approaches have addressed, and consider scenarios when simultaneous two-brain recordings are needed. Furthermore, we suggest that (1) quantification of inter-personal neural effects via measures of emergence, and (2) multivariate decoding models that generalize source-specific features of interaction, may provide novel tools to study brains in interaction. This may allow for a better understanding of social cognition as both representation and participation. Frontiers Media S.A. 2012-07-24 /pmc/articles/PMC3402900/ /pubmed/22837744 http://dx.doi.org/10.3389/fnhum.2012.00215 Text en Copyright © 2012 Konvalinka and Roepstorff. http://www.frontiersin.org/licenseagreement This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc. |
spellingShingle | Neuroscience Konvalinka, Ivana Roepstorff, Andreas The two-brain approach: how can mutually interacting brains teach us something about social interaction? |
title | The two-brain approach: how can mutually interacting brains teach us something about social interaction? |
title_full | The two-brain approach: how can mutually interacting brains teach us something about social interaction? |
title_fullStr | The two-brain approach: how can mutually interacting brains teach us something about social interaction? |
title_full_unstemmed | The two-brain approach: how can mutually interacting brains teach us something about social interaction? |
title_short | The two-brain approach: how can mutually interacting brains teach us something about social interaction? |
title_sort | two-brain approach: how can mutually interacting brains teach us something about social interaction? |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3402900/ https://www.ncbi.nlm.nih.gov/pubmed/22837744 http://dx.doi.org/10.3389/fnhum.2012.00215 |
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