Behavioral and Brain Dynamics of Team Coordination Part II: Neurobehavioral Performance

Tognoli, Emmanuelle; Kovács, Attila; Suutari, Benjamin S.; Afergan, Daniel; Coyne, Joseph T.; Gibson, Gregory O.; Stripling, Roy; Kelso, J. A. Scott

doi:10.1007/978-3-642-21852-1_44

Cited by 6 publications

(10 citation statements)

References 10 publications

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“…These results in terms of bands and areas of interest are coherent with previous knowledge both about the role of EEG alpha and beta bands [ 6 ], and about the central (sensory-motor system), and parietal (mirror neuron system) brain areas in human interaction and coordination [ 7 ].…”

Section: Discussionsupporting

confidence: 89%

“…The combination of behavioral data and brain signals (electroencephalogram (EEG)) were used to identify the presence of beta-gamma complex in coordinated activities [ 6 ] and a phy-complex neuromarker of social coordination [ 7 ]. In a task as well controlled as finger movement, Tognoli et al [ 7 ] found brain activity reduction in the occipital EEG alpha band and in EEG sensory motor rhythms during social interaction (while two subjects observed each other moving the finger), whereas coordination correlated with particular EEG rhythms, called phy, in the right centro-parietal brain area (increased phy indicates increased coordination).…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2017

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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.

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Section: Discussionsupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

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

et al. 2017

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“…In contrast, the causal effect is significantly higher than chance level for both cooperation modalities in 7 out of 29 systems of variables explored (Table 2 ). The relevant Neurometrics are essentially related to activity of the frontal area in beta band as expected for their role in mentalizing processes and team coordination dynamics ( Tognoli et al , 2011 ; Chauvigné et al , 2018 ). On the one hand, these results fit well in SPC and hyperscanning frameworks, which have already demonstrated higher synchronized autonomic (Elkins et al , 2009b ; Ahonen et al , 2018 ) and cerebral activity ( Jahng et al , 2017 ; Yi et al , 2018 ) in case of cooperation.…”

Section: Discussionmentioning

confidence: 99%

Multivariate model for cooperation: bridging social physiological compliance and hyperscanning

Sciaraffa

Liu

Aricò

et al. 2020

Social Cognitive and Affective Neuroscience

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The neurophysiological analysis of cooperation has evolved over the past 20 years, moving towards the research of common patterns in neurophysiological signals of people interacting. Social Physiological Compliance (SPC) and Hyperscanning represent two frameworks for the joint analysis of autonomic and brain signals respectively. Each of the two approaches allows to know about a single layer of cooperation according to the nature of these signals: SPC provides information mainly related to emotions, and Hyperscanning that related to cognitive aspects. In this work, after the analysis of the state of the art of SPC and Hyperscanning, we explored the possibility to unify the two approaches creating a complete neurophysiological model for cooperation considering both affective and cognitive mechanisms. We synchronously recorded electrodermal activity, cardiac and brain signals of 14 cooperative dyads. Time series from these signals were extracted and Multivariate Granger Causality was computed. The results showed that only when subjects in a dyad cooperate there is a statistically significant causality between the multivariate variables representing each subject. Moreover, the entity of this statistical relationship correlates with the dyad’s performance. Finally, given the novelty of this approach and its exploratory nature, we provided its strengths and limitations.

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“…Electro-ocular activities were also collected to identify blinks and saccades, and shielding and guarding ensured minimal contamination from noise-emitting equipment. For additional information, please refer to Tognoli et al ( 2011b ). The analyses described below were done on artifact corrected EEG.…”

Section: Methodsmentioning

confidence: 99%

“…Such is the notorious problem of people-matching that pervades many human activities. Although multiple behavioral studies of team coordination have been conducted (Fiore et al, 2003 ; Cooke et al, 2007 ; Woolley et al, 2007 ; Salas et al, 2008 ; Astolfi et al, 2010 ; Bourbousson et al, 2010 ; DeChurch and Mesmer-Magnus, 2010 ; Dodel et al, 2010 ; Gorman et al, 2010 ; Gorman and Cooke, 2011 ; Stevens et al, 2016 ; Nordham et al, 2018 ), the underlying neural processes are currently still largely unknown (Astolfi et al, 2010 ; Dodel et al, 2011 ; Stevens et al, 2011 ; Tognoli et al, 2011b ; Cooke et al, 2012 ; Likens et al, 2014 ). Team coordination implies that team members mutually adapt their behavior in anticipation of, and in response to, the behavior of their teammates.…”

Section: Introductionmentioning

confidence: 99%

Degeneracy and Complexity in Neuro-Behavioral Correlates of Team Coordination

Dodel

Tognoli

Kelso

2020

Front. Hum. Neurosci.

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Team coordination—members of a group acting together rather than performing specific actions individually—is essential for success in many real-world tasks such as military missions, sports, workplace, or school interactions. However, team coordination is highly variable, which is one reason why its underlying neural processes are largely unknown. Here we used dual electroencephalography (EEG) in dyads to study the neurobehavioral dynamics of team coordination in an ecologically valid task that places intensive demands on joint performance. We present a novel conceptual framework to interpret neurobehavioral variability in terms of degeneracy , a fundamental property of complex biological systems said to enhance flexibility and robustness. We characterize degeneracy conceptually in terms of a manifold representing the geometric locus of the dynamics in the high dimensional state-space of neurobehavioral signals. The geometry and dimensionality of the manifold are determined by task constraints and team coordination requirements which restrict the manifold to trajectories that are conducive to successful task performance. Our results indicate that team coordination is associated with dimensionality reduction of the manifold as evident in increased inter-brain phase coherence of beta and gamma rhythms during critical phases of task performance where subjects exchange information. Team coordination was also found to affect the shape of the manifold manifested as a symmetry breaking of centro-parietal wavelet power patterns across subjects in trials with high team coordination. These results open a conceptual and empirical path to identifying the mechanisms underlying team performance in complex tasks.

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Behavioral and Brain Dynamics of Team Coordination Part II: Neurobehavioral Performance

Cited by 6 publications

References 10 publications

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

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

Multivariate model for cooperation: bridging social physiological compliance and hyperscanning

Degeneracy and Complexity in Neuro-Behavioral Correlates of Team Coordination

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