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Brain Sci. 2017, 7(7), 90; doi:10.3390/brainsci7070090

Brain Interaction during Cooperation: Evaluating Local Properties of Multiple-Brain Network

1
Department Anatomical, Histological, Forensic & Orthopedic Sciences, Sapienza University of Rome, 00185 Rome, Italy
2
BrainSigns, 00185 Rome, Italy
3
Department Molecular Medicine, Sapienza University of Rome, 00185 Rome, Italy
4
IRCCS Fondazione Santa Lucia, 00142 Rome, Italy
5
Singapore Institute for Neurotechnology, Centre for Life Sciences, National University of Singapore, Singapore 119077, Singapore
*
Author to whom correspondence should be addressed.
Academic Editors: Andrew Clarkson and Stephanie Cacioppo
Received: 12 May 2017 / Revised: 24 June 2017 / Accepted: 16 July 2017 / Published: 21 July 2017
(This article belongs to the Special Issue Best Practices in Social Neuroscience)
View Full-Text   |   Download PDF [2406 KB, uploaded 21 July 2017]   |  

Abstract

Subjects’ interaction is the core of most human activities. This is the reason why a lack of coordination is often the cause of missing goals, more than individual failure. While there are different subjective and objective measures to assess the level of mental effort required by subjects while facing a situation that is getting harder, that is, mental workload, to define an objective measure based on how and if team members are interacting is not so straightforward. In this study, behavioral, subjective and synchronized electroencephalographic data were collected from couples involved in a cooperative task to describe the relationship between task difficulty and team coordination, in the sense of interaction aimed at cooperatively performing the assignment. Multiple-brain connectivity analysis provided information about the whole interacting system. The results showed that averaged local properties of a brain network were affected by task difficulty. In particular, strength changed significantly with task difficulty and clustering coefficients strongly correlated with the workload itself. In particular, a higher workload corresponded to lower clustering values over the central and parietal brain areas. Such results has been interpreted as less efficient organization of the network when the subjects’ activities, due to high workload tendencies, were less coordinated. View Full-Text
Keywords: mental workload; cooperation; hyperscanning; EEG; human interaction; multiple-brain connectivity mental workload; cooperation; hyperscanning; EEG; human interaction; multiple-brain connectivity
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Sciaraffa, N.; Borghini, G.; Aricò, P.; Di Flumeri, G.; Colosimo, A.; Bezerianos, A.; Thakor, N.V.; Babiloni, F. Brain Interaction during Cooperation: Evaluating Local Properties of Multiple-Brain Network. Brain Sci. 2017, 7, 90.

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