Raising the bar: Can dual scanning improve our understanding of joint action?

Astolfi, Laura; Toppi, Jlenia; Ciaramidaro, Angela; Vogel, Pascal; Freitag, Christine M.; Siniatchkin, Michael

doi:10.1016/j.neuroimage.2020.116813

Cited by 29 publications

(30 citation statements)

References 64 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Classification analyses with supervised learning can be performed as well in order to characterize the accuracy of different connectivity measures used for discrimination between behavioral conditions. For instance, Support Vector Machines have been used in a previous HS study to characterize the contributions of inter-brain and intra-brain connectivity measures in classifying dyadic interactions compared to individual interactions with computers during a visuomotor task [ 45 ]. Another study used a classifier based on Riemannian geometry to discriminate between different emotional states of interacting partners [ 46 ].…”

Section: Eeg Hyperscanningmentioning

confidence: 99%

EEG hyperscanning in motor rehabilitation: a position paper

Short

Hernandez-Pavon

Jones

et al. 2021

J NeuroEngineering Rehabil

View full text Add to dashboard Cite

Studying the human brain during interpersonal interaction allows us to answer many questions related to motor control and cognition. For instance, what happens in the brain when two people walking side by side begin to change their gait and match cadences? Adapted from the neuroimaging techniques used in single-brain measurements, hyperscanning (HS) is a technique used to measure brain activity from two or more individuals simultaneously. Thus far, HS has primarily focused on healthy participants during social interactions in order to characterize inter-brain dynamics. Here, we advocate for expanding the use of this electroencephalography hyperscanning (EEG-HS) technique to rehabilitation paradigms in individuals with neurological diagnoses, namely stroke, spinal cord injury (SCI), Parkinson’s disease (PD), and traumatic brain injury (TBI). We claim that EEG-HS in patient populations with impaired motor function is particularly relevant and could provide additional insight on neural dynamics, optimizing rehabilitation strategies for each individual patient. In addition, we discuss future technologies related to EEG-HS that could be developed for use in the clinic as well as technical limitations to be considered in these proposed settings.

show abstract

Section: Eeg Hyperscanningmentioning

confidence: 99%

EEG hyperscanning in motor rehabilitation: a position paper

Short

Hernandez-Pavon

Jones

et al. 2021

J NeuroEngineering Rehabil

View full text Add to dashboard Cite

show abstract

“…Second, additional control conditions would be desirable. For instance, a condition in which the participants are jointly interacting with the computer would allow the removal of synchronization with a human agent (Astolfi et al, 2020). With this type of control, we would be able to further interpret the results in terms of agency effects.…”

Section: Gamma Interbrain Coupling As a Marker Of Prosocial Behaviormentioning

confidence: 99%

“…With this type of control, we would be able to further interpret the results in terms of agency effects. Future studies should adopt improved experimental control (Astolfi et al, 2020) and the use of data-association measures addressing covariance between brain signals with precise localization of synchrony in time and frequency (e.g., Hemakom et al, 2017). Additionally, the use of source reconstruction techniques will be highly desirable for more precise localization of the underlying areas supporting the differential processing.…”

Section: Gamma Interbrain Coupling As a Marker Of Prosocial Behaviormentioning

confidence: 99%

Brain-to-Brain Coupling in the Gamma-Band as a Marker of Shared Intentionality

Barraza

Pérez

Rodríguez

2020

Front. Hum. Neurosci.

View full text Add to dashboard Cite

Cooperation and competition are two ways of social interaction keys to life in society. Recent EEG-based hyperscanning studies reveal that cooperative and competitive interactions induce an increase in interbrain coupling. However, whether this interbrain coupling effect is just a reflection of inter-subject motor coordination or can also signal the type of social interaction is unknown. Here, we show that behavioral coordination and social interaction type can be distinguished according to the frequency of oscillation in which the brains are coupled. We use EEG to simultaneously measure the brain activity of pairs of subjects, while they were performing a visual cue-target task in a cooperative and competitive manner. Behavioral responses were quasi-simultaneous between subject pairs for both competitive and cooperative conditions, with faster average response times for the competitive condition. Concerning brain activity, we found increased interbrain coupling in theta band (3-7 Hz) during cooperation and competition, with stronger coupling during competitive interactions. This increase of interbrain theta coupling correlated with a decrease in reaction times of the dyads. Interestingly, we also found an increase in brain-to-brain coupling in gamma band (38-42 Hz) only during cooperative interactions. Unlike the theta coupling effect, the gamma interbrain coupling did not correlate with dyads' reaction times. Taken together, these results suggest that theta interbrain coupling could be linked to motor coordination processes common to cooperative and competitive interactions, while gamma brain-tobrain coupling emerges as an electrophysiological marker of shared intentionality during cooperative interactions.

show abstract

“…In contrast to single-person experimental designs that have dominated neuroscience (Astolfi et al, 2020), twoperson or "multi-brain" neuroscience (Hasson et al, 2012) provides a framework to investigate the inter-brain dynamics that underlie social interactions (Liu and Pelowski, 2014). Montague et al (2002) coined the term "hyperscanning, " the simultaneous quantification of inter-brain coupling across multiple participants, in their germinal paper inaugurating this new method for conducting research into the nascent field of social neuroscience.…”

Section: Introductionmentioning

confidence: 99%

Elevated Inter-Brain Coherence Between Subjects With Concordant Stances During Discussion of Social Issues

Richard

Karić

McConnell

et al. 2021

Front. Hum. Neurosci.

View full text Add to dashboard Cite

Social media platforms offer convenient, instantaneous social sharing on a mass scale with tremendous impact on public perceptions, opinions, and behavior. There is a need to understand why information spreads including the human motivations, cognitive processes, and neural dynamics of large-scale sharing. This study introduces a novel approach for investigating the effect social media messaging and in-person discussion has on the inter-brain dynamics within small groups of participants. The psychophysiological impact of information campaigns and narrative messaging within a closed social media environment was assessed using 24-channel wireless EEG. Data were acquired from three- or four-person groups while subjects debated contemporary social issues framed by four scenarios of varying controversy: (a) investing in ethical vs. unethical corporations, (b) selecting travel destination based on social awareness, (c) determining verdict in a murder trial and the punishment of life in prison or death penalty, and (d) decision to vaccinate. Pre-/post-scenario questionnaires assess the effects of the social media information. Inter-brain coherence between subject pairs on each social issue discussed by subjects was analyzed by concordance, agreement vs. disagreement, and by group unanimity, unanimous vs. not unanimous. Subject pairs that agreed on the social issues raised in the scenarios had significantly greater inter-brain coherence in gamma frequency range than disagreeing pairs over cortical regions known to be involved in social interactions. These effects were magnified when comparing groups where subject pairs were unanimous in their stance on the social issues for some but not all scenarios. While there was considerable overlap between scenarios in what EEG channels were significant, there was enough variability to indicate the possibility of scenario-specific effects on inter-brain coherence.

show abstract

Raising the bar: Can dual scanning improve our understanding of joint action?

Cited by 29 publications

References 64 publications

EEG hyperscanning in motor rehabilitation: a position paper

EEG hyperscanning in motor rehabilitation: a position paper

Brain-to-Brain Coupling in the Gamma-Band as a Marker of Shared Intentionality

Elevated Inter-Brain Coherence Between Subjects With Concordant Stances During Discussion of Social Issues

Contact Info

Product

Resources

About