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Conducting Hyperscanning Experiments with Functional Near-Infrared Spectroscopy
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Two-brain microstates: A novel hyperscanning-EEG method for quantifying task-driven inter-brain asymmetry.

Qianliang Li1, Marius Zimmermann2, Ivana Konvalinka1

  • 1Section for Cognitive Systems, DTU Compute, Technical University of Denmark, Kongens Lyngby, Denmark.

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Summary

We introduce two-brain EEG microstates, a new method to study brain activity during social interactions. This approach reveals differences in neural activity during asymmetric social tasks, advancing hyperscanning research.

Keywords:
EEGHyperscanningMicrostateMirror-gameReal-time social interaction

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Social Interaction

Background:

  • Neural mechanisms of real-time social interaction are not well understood.
  • Hyperscanning methods for studying inter-brain dynamics are limited, mainly focusing on inter-brain synchronization (IBS).

Purpose of the Study:

  • To develop and validate a novel method for investigating neural mechanisms during social interactions.
  • To explore inter-brain synchronous and asymmetric activity using a new approach.

Main Methods:

  • Developed a novel two-brain EEG microstate analysis for dyads.
  • Applied the method to investigate neural activity during symmetric and asymmetric interactive tasks.
  • Expanded microstate methodology to analyze inter-brain synchronous and asymmetric activity.

Main Results:

  • Conventional individual microstates did not differ across interactive conditions.
  • Two-brain microstates showed modulation in observer-actor and follower-leader conditions, indicating asymmetric task demands.
  • Results suggest differences in default-mode network activity during asymmetric social interactions.

Conclusions:

  • Introduced a novel two-brain microstate method for hyperscanning-EEG.
  • The method allows for the measurement of both synchronous and asymmetric inter-brain states.
  • Provided open-source code to facilitate further research in real-time social interaction dynamics.