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Updated: Jan 29, 2026

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Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study
Published on: July 21, 2021
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Cross-recurrence quantification analysis captures inter-brain coupling during naturalistic negotiation: a new dynamic
Bear M Goldstein1, Shannon M Burns2, Fleming C Peck1
1Department of Psychology, University of California, Los Angeles, CA, United States.
Frontiers in Neuroscience
|January 28, 2026
Summary
New analysis reveals balanced brain-to-brain coordination during negotiation predicts better collaboration and positive social experiences. This dynamic coupling method offers insights into natural human interactions.
Area of Science:
- Neuroscience
- Social Cognition
- Dynamical Systems Analysis
Background:
- Naturalistic social interactions exhibit complex, nonlinear coordination across multiple timescales.
- Existing hyperscanning methods often fail to capture these dynamics, relying on passive, stimulus-locked analyses.
- Understanding brain-to-brain coupling in free-flowing interactions is crucial for social neuroscience.
Purpose of the Study:
- To introduce and apply Cross-Recurrence Quantification Analysis (CRQA) for measuring brain-to-brain coupling during naturalistic negotiation.
- To investigate the relationship between neural coupling patterns and objective negotiation behaviors and subjective experiences.
- To compare CRQA with conventional synchrony measures in capturing interaction dynamics.
Main Methods:
- Functional near-infrared spectroscopy (fNIRS) was used to scan dyads during a negotiation task.
- Cross-Recurrence Quantification Analysis (CRQA) was employed to analyze dynamic brain-to-brain coupling.
- Neural coupling in medial prefrontal cortex and temporal parietal junction was assessed.
Main Results:
- CRQA revealed associations between dynamic coupling patterns and successful negotiation, unlike conventional synchrony measures.
- Balanced neural coordination (symmetrical leading/lagging) predicted greater collaborative adjustment and positive social experiences (understanding, cooperation, liking).
- Longer neurocognitive coordination delays correlated with increased motivation, and higher coupling complexity indicated more equitable negotiation.
Conclusions:
- CRQA is a powerful tool for analyzing brain-to-brain coupling in dynamic, naturalistic social interactions.
- The study demonstrates that specific patterns of neural coordination are linked to negotiation outcomes and subjective experiences.
- This approach advances our understanding of how interconnected minds navigate complex social tasks.
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