In Autumn 2020, DOAJ will be relaunching with a new website with updated functionality, improved search, and a simplified application form. More information is available on our blog. Our API is also changing.

Hide this message

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

Brain Sciences. 2017;7(7):90 DOI 10.3390/brainsci7070090

 

Journal Homepage

Journal Title: Brain Sciences

ISSN: 2076-3425 (Online)

Publisher: MDPI AG

LCC Subject Category: Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry

Country of publisher: Switzerland

Language of fulltext: English

Full-text formats available: PDF, HTML, ePUB, XML

 

AUTHORS


Nicolina Sciaraffa (Department Anatomical, Histological, Forensic & Orthopedic Sciences, Sapienza University of Rome, 00185 Rome, Italy)

Gianluca Borghini (BrainSigns, 00185 Rome, Italy)

Pietro Aricò (BrainSigns, 00185 Rome, Italy)

Gianluca Di Flumeri (Department Anatomical, Histological, Forensic & Orthopedic Sciences, Sapienza University of Rome, 00185 Rome, Italy)

Alfredo Colosimo (Department Anatomical, Histological, Forensic & Orthopedic Sciences, Sapienza University of Rome, 00185 Rome, Italy)

Anastasios Bezerianos (Singapore Institute for Neurotechnology, Centre for Life Sciences, National University of Singapore, Singapore 119077, Singapore)

Nitish V. Thakor (Singapore Institute for Neurotechnology, Centre for Life Sciences, National University of Singapore, Singapore 119077, Singapore)

Fabio Babiloni (BrainSigns, 00185 Rome, Italy)

EDITORIAL INFORMATION

Blind peer review

Editorial Board

Instructions for authors

Time From Submission to Publication: 11 weeks

 

Abstract | Full Text

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.