Hyperscanning: A Valid Method to Study Neural Inter-brain Underpinnings of Social Interaction
Social interactions are a crucial part of human life. Understanding the neural underpinnings of social interactions is a challenging task that the hyperscanning method has been trying to tackle over the last two decades. Here, we review the existing literature and evaluate the current state of the h...
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| Published in: | Frontiers in human neuroscience Vol. 14; p. 39 |
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| Main Authors: | , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Switzerland
Frontiers Research Foundation
28.02.2020
Frontiers Media S.A |
| Subjects: | |
| ISSN: | 1662-5161, 1662-5161 |
| Online Access: | Get full text |
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| Summary: | Social interactions are a crucial part of human life. Understanding the neural underpinnings of social interactions is a challenging task that the hyperscanning method has been trying to tackle over the last two decades. Here, we review the existing literature and evaluate the current state of the hyperscanning method. We review the type of methods (fMRI, M/EEG, and fNIRS) that are used to measure brain activity from more than one participant simultaneously and weigh their pros and cons for hyperscanning. Further, we discuss different types of analyses that are used to estimate brain networks and synchronization. Lastly, we present results of hyperscanning studies in the context of different cognitive functions and their relations to social interactions. All in all, we aim to comprehensively present methods, analyses, and results from the last 20 years of hyperscanning research. |
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Review-3 content type line 23 This article was submitted to Brain Imaging and Stimulation, a section of the journal Frontiers in Human Neuroscience Edited by: Zhen Yuan, University of Macau, China Reviewed by: Joy Hirsch, Yale University, United States; Tong Boon Tang, University of Technology Petronas, Malaysia |
| ISSN: | 1662-5161 1662-5161 |
| DOI: | 10.3389/fnhum.2020.00039 |