Cargando…

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

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 fac...

Descripción completa

Detalles Bibliográficos
Autores principales: Sciaraffa, Nicolina, Borghini, Gianluca, Aricò, Pietro, Di Flumeri, Gianluca, Colosimo, Alfredo, Bezerianos, Anastasios, Thakor, Nitish V., Babiloni, Fabio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5532603/
https://www.ncbi.nlm.nih.gov/pubmed/28753986
http://dx.doi.org/10.3390/brainsci7070090
_version_ 1783253492042825728
author Sciaraffa, Nicolina
Borghini, Gianluca
Aricò, Pietro
Di Flumeri, Gianluca
Colosimo, Alfredo
Bezerianos, Anastasios
Thakor, Nitish V.
Babiloni, Fabio
author_facet Sciaraffa, Nicolina
Borghini, Gianluca
Aricò, Pietro
Di Flumeri, Gianluca
Colosimo, Alfredo
Bezerianos, Anastasios
Thakor, Nitish V.
Babiloni, Fabio
author_sort Sciaraffa, Nicolina
collection PubMed
description 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.
format Online
Article
Text
id pubmed-5532603
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-55326032017-08-07 Brain Interaction during Cooperation: Evaluating Local Properties of Multiple-Brain Network Sciaraffa, Nicolina Borghini, Gianluca Aricò, Pietro Di Flumeri, Gianluca Colosimo, Alfredo Bezerianos, Anastasios Thakor, Nitish V. Babiloni, Fabio Brain Sci Article 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. MDPI 2017-07-21 /pmc/articles/PMC5532603/ /pubmed/28753986 http://dx.doi.org/10.3390/brainsci7070090 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sciaraffa, Nicolina
Borghini, Gianluca
Aricò, Pietro
Di Flumeri, Gianluca
Colosimo, Alfredo
Bezerianos, Anastasios
Thakor, Nitish V.
Babiloni, Fabio
Brain Interaction during Cooperation: Evaluating Local Properties of Multiple-Brain Network
title Brain Interaction during Cooperation: Evaluating Local Properties of Multiple-Brain Network
title_full Brain Interaction during Cooperation: Evaluating Local Properties of Multiple-Brain Network
title_fullStr Brain Interaction during Cooperation: Evaluating Local Properties of Multiple-Brain Network
title_full_unstemmed Brain Interaction during Cooperation: Evaluating Local Properties of Multiple-Brain Network
title_short Brain Interaction during Cooperation: Evaluating Local Properties of Multiple-Brain Network
title_sort brain interaction during cooperation: evaluating local properties of multiple-brain network
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5532603/
https://www.ncbi.nlm.nih.gov/pubmed/28753986
http://dx.doi.org/10.3390/brainsci7070090
work_keys_str_mv AT sciaraffanicolina braininteractionduringcooperationevaluatinglocalpropertiesofmultiplebrainnetwork
AT borghinigianluca braininteractionduringcooperationevaluatinglocalpropertiesofmultiplebrainnetwork
AT aricopietro braininteractionduringcooperationevaluatinglocalpropertiesofmultiplebrainnetwork
AT diflumerigianluca braininteractionduringcooperationevaluatinglocalpropertiesofmultiplebrainnetwork
AT colosimoalfredo braininteractionduringcooperationevaluatinglocalpropertiesofmultiplebrainnetwork
AT bezerianosanastasios braininteractionduringcooperationevaluatinglocalpropertiesofmultiplebrainnetwork
AT thakornitishv braininteractionduringcooperationevaluatinglocalpropertiesofmultiplebrainnetwork
AT babilonifabio braininteractionduringcooperationevaluatinglocalpropertiesofmultiplebrainnetwork