Investigating Cooperative Behavior in Ecological Settings: An EEG Hyperscanning Study.
The coordinated interactions between individuals are fundamental for the success of the activities in some professional categories. We reported on brain-to-brain cooperative interactions between civil pilots during a simulated flight. We demonstrated for the first time how the combination of neuroel...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2016-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC4849782?pdf=render |
| _version_ | 1811305450114646016 |
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| author | Jlenia Toppi Gianluca Borghini Manuela Petti Eric J He Vittorio De Giusti Bin He Laura Astolfi Fabio Babiloni |
| author_facet | Jlenia Toppi Gianluca Borghini Manuela Petti Eric J He Vittorio De Giusti Bin He Laura Astolfi Fabio Babiloni |
| author_sort | Jlenia Toppi |
| collection | DOAJ |
| description | The coordinated interactions between individuals are fundamental for the success of the activities in some professional categories. We reported on brain-to-brain cooperative interactions between civil pilots during a simulated flight. We demonstrated for the first time how the combination of neuroelectrical hyperscanning and intersubject connectivity could provide indicators sensitive to the humans' degree of synchronization under a highly demanding task performed in an ecological environment. Our results showed how intersubject connectivity was able to i) characterize the degree of cooperation between pilots in different phases of the flight, and ii) to highlight the role of specific brain macro areas in cooperative behavior. During the most cooperative flight phases pilots showed, in fact, dense patterns of interbrain connectivity, mainly linking frontal and parietal brain areas. On the contrary, the amount of interbrain connections went close to zero in the non-cooperative phase. The reliability of the interbrain connectivity patterns was verified by means of a baseline condition represented by formal couples, i.e. pilots paired offline for the connectivity analysis but not simultaneously recorded during the flight. Interbrain density was, in fact, significantly higher in real couples with respect to formal couples in the cooperative flight phases. All the achieved results demonstrated how the description of brain networks at the basis of cooperation could effectively benefit from a hyperscanning approach. Interbrain connectivity was, in fact, more informative in the investigation of cooperative behavior with respect to established EEG signal processing methodologies applied at a single subject level. |
| first_indexed | 2024-04-13T08:26:01Z |
| format | Article |
| id | doaj.art-4d6bc7ea58454d2aa6469ffec18f1570 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-13T08:26:01Z |
| publishDate | 2016-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-4d6bc7ea58454d2aa6469ffec18f15702022-12-22T02:54:27ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-01114e015423610.1371/journal.pone.0154236Investigating Cooperative Behavior in Ecological Settings: An EEG Hyperscanning Study.Jlenia ToppiGianluca BorghiniManuela PettiEric J HeVittorio De GiustiBin HeLaura AstolfiFabio BabiloniThe coordinated interactions between individuals are fundamental for the success of the activities in some professional categories. We reported on brain-to-brain cooperative interactions between civil pilots during a simulated flight. We demonstrated for the first time how the combination of neuroelectrical hyperscanning and intersubject connectivity could provide indicators sensitive to the humans' degree of synchronization under a highly demanding task performed in an ecological environment. Our results showed how intersubject connectivity was able to i) characterize the degree of cooperation between pilots in different phases of the flight, and ii) to highlight the role of specific brain macro areas in cooperative behavior. During the most cooperative flight phases pilots showed, in fact, dense patterns of interbrain connectivity, mainly linking frontal and parietal brain areas. On the contrary, the amount of interbrain connections went close to zero in the non-cooperative phase. The reliability of the interbrain connectivity patterns was verified by means of a baseline condition represented by formal couples, i.e. pilots paired offline for the connectivity analysis but not simultaneously recorded during the flight. Interbrain density was, in fact, significantly higher in real couples with respect to formal couples in the cooperative flight phases. All the achieved results demonstrated how the description of brain networks at the basis of cooperation could effectively benefit from a hyperscanning approach. Interbrain connectivity was, in fact, more informative in the investigation of cooperative behavior with respect to established EEG signal processing methodologies applied at a single subject level.http://europepmc.org/articles/PMC4849782?pdf=render |
| spellingShingle | Jlenia Toppi Gianluca Borghini Manuela Petti Eric J He Vittorio De Giusti Bin He Laura Astolfi Fabio Babiloni Investigating Cooperative Behavior in Ecological Settings: An EEG Hyperscanning Study. PLoS ONE |
| title | Investigating Cooperative Behavior in Ecological Settings: An EEG Hyperscanning Study. |
| title_full | Investigating Cooperative Behavior in Ecological Settings: An EEG Hyperscanning Study. |
| title_fullStr | Investigating Cooperative Behavior in Ecological Settings: An EEG Hyperscanning Study. |
| title_full_unstemmed | Investigating Cooperative Behavior in Ecological Settings: An EEG Hyperscanning Study. |
| title_short | Investigating Cooperative Behavior in Ecological Settings: An EEG Hyperscanning Study. |
| title_sort | investigating cooperative behavior in ecological settings an eeg hyperscanning study |
| url | http://europepmc.org/articles/PMC4849782?pdf=render |
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