Brain Signatures of Team Performance

Dodel, Silke; Cohn, Joseph; Mersmann, Jochen; Luu, Phan; Forsythe, Chris; Jirsa, Viktor K.

doi:10.1007/978-3-642-21852-1_35

Cited by 20 publications

(20 citation statements)

References 20 publications

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“…Additionally, the directionality of between-brain networks was used to predict leaders and followers in guitar players . In another study, the dimensionality of between brain networks was investigated in combat cooperation tasks (Dodel et al, 2011). All mentioned measures suggested that neural synchrony can be estimated with graph theory measures and that these measures extend our understanding of between brain networks.…”

Section: Graph Theory Measuresmentioning

confidence: 99%

Hyperscanning: A Valid Method to Study Neural Inter-brain Underpinnings of Social Interaction

Czeszumski

Eustergerling

Lang

et al. 2020

Front. Hum. Neurosci.

271

239

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Social interactions are a crucial part of human life. Understanding the neural underpinnings of social interactions is a challenging task that the hyperscanning method has been trying to tackle over the last two decades. Here, we review the existing literature and evaluate the current state of the hyperscanning method. We review the type of methods (fMRI, M/EEG, and fNIRS) that are used to measure brain activity from more than one participant simultaneously and weigh their pros and cons for hyperscanning. Further, we discuss different types of analyses that are used to estimate brain networks and synchronization. Lastly, we present results of hyperscanning studies in the context of different cognitive functions and their relations to social interactions. All in all, we aim to comprehensively present methods, analyses, and results from the last 20 years of hyperscanning research.

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Section: Graph Theory Measuresmentioning

confidence: 99%

Hyperscanning: A Valid Method to Study Neural Inter-brain Underpinnings of Social Interaction

Czeszumski

Eustergerling

Lang

et al. 2020

Front. Hum. Neurosci.

271

239

View full text Add to dashboard Cite

show abstract

“…A true social neuroscience, however, will only realize itself when it fully integrates neural activity of every participant in a common analysis scheme. Efforts to do so have been undertaken by collecting synced records of brain activity from multiple people (e.g., dual-EEG: Tognoli et al, 2007a ; or fMRI hyperscanning: Montague et al, 2002 ) and by formulating novel analysis frameworks that combine the neural dynamics from multiple subjects (Lindenberger et al, 2009 ; Dumas et al, 2010 ; Dodel et al, 2011 ; Tognoli et al, 2011 ). With brains chock full of oscillations that are coupled between people through inter-personal perceptual flows, a straightforward hypothesis is that oscillations enter collective states of phase-locking and frequency coupling between the brains of interacting partners—a hypothesis that has been pursued by ourselves and others (e.g., Lindenberger et al, 2009 ; Dumas et al, 2010 ; see also Funane et al, 2011 ; for related hemodynamic account).…”

Section: Toward Dynamical Models Of Social Brainsmentioning

confidence: 99%

The coordination dynamics of social neuromarkers

Tognoli

Kelso

2015

Front. Hum. Neurosci.

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Social behavior is a complex integrative function that entails many aspects of the brain’s sensory, cognitive, emotional and movement capacities. Its neural processes are seldom simultaneous but occur according to precise spatiotemporal choreographies, manifested by the coordination of their oscillations within and between brains. Methods with good temporal resolution can help to identify so-called “neuromarkers” of social function and aid in disentangling the dynamical architecture of social brains. In our ongoing research, we have used dual-electroencephalography (EEG) to study neuromarker dynamics during synchronic interactions in which pairs of subjects coordinate behavior spontaneously and intentionally (social coordination) and during diachronic transactions that require subjects to perceive or behave in turn (action observation, delayed imitation). In this paper, after outlining our dynamical approach to the neurophysiological basis of social behavior, we examine commonalities and differences in the neuromarkers that are recruited for both kinds of tasks. We find the neuromarker landscape to be task-specific: synchronic paradigms of social coordination reveal medial mu, alpha and the phi complex as contributing neuromarkers. Diachronic tasks recruit alpha as well, in addition to lateral mu rhythms and the newly discovered nu and kappa rhythms whose functional significance is still unclear. Social coordination, observation, and delayed imitation share commonality of context: in each of our experiments, subjects exchanged information through visual perception and moved in similar ways. Nonetheless, there was little overlap between their neuromarkers, a result that hints strongly of task-specific neural mechanisms for social behavior. The only neuromarker that transcended both synchronic and diachronic social behaviors was the ubiquitous alpha rhythm, which appears to be a key signature of visually-mediated social behaviors. The present paper is both an entry point and a challenge: much work remains to determine the nature and scope of recruitment of other neuromarkers, and to create theoretical models of their within- and between-brain dynamics during social interaction.

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“…Montague et al, 2002, KingCasas et al, 2005, Saito et al, 2010, EEG (e.g. Lindenberger et al, 2009, Dumas et al, 2010, Dodel et al, 2011, Yun et al, 2012, or fNIRS (e.g. Cui et al, 2012, Holper et al, 2012, Jiang et al, 2012 recordings.…”

Section: Introductionmentioning

confidence: 99%