Unlocking interbrain neural signatures differences during triadic cooperation and competition: Evidence from EEG hyperscanning

Cooperation and competition are fundamental to human social interaction. While recent hyperscanning studies have linked stronger interbrain synchrony (IBS) to successful cooperation, most have focused on dyadic interactions, leaving the underlying neural mechanisms of group-level social behavior largely unknown. Here, we employed EEG hyperscanning to investigate interbrain neural dynamics of triadic cooperative and competitive interactions. Distinct interbrain network patterns emerged in the delta and beta bands, with cooperation showing enhanced frontal-parietal IBS and more efficient network properties. Non-parametric cluster-based permutation tests further identified significant regional differences in a left-lateralized frontal-temporal-parietal cluster in both bands. Crucially, increased delta-band frontal-parietal IBS was closely associated with better group-level cooperative performance. Moreover, classification and prediction models based on delta-band interbrain metrics successfully distinguished interaction types and predicted cooperative outcomes. These findings uncover interbrain neurocognitive traits that reflect specific social behavioral contexts, highlighting the pivotal role of frontal-parietal synchrony and delta-band modulations in supporting group cooperation. Together, our results advance the understanding of the neural basis of triadic social interaction and underscore the potential of interbrain network signatures as biomarkers for decoding and predicting complex social behaviors.

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Publication Details

Journal
NeuroImage
Published
2026-03-17
DOI
https://doi.org/10.1016/j.neuroimage.2026.121865
Primary Topic
Action Observation and Synchronization
Type
article
Field-Weighted Citation Impact
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article

Unlocking interbrain neural signatures differences during triadic cooperation and competition: Evidence from EEG hyperscanning

Senqi Li, Jiaxin Xie Jiaxin Xie, Yuqin Li, Dezhong Yao et al.
NeuroImage
Action Observation and Synchronization
article

Unlocking interbrain neural signatures differences during triadic cooperation and competition: Evidence from EEG hyperscanning

Senqi Li, Jiaxin Xie Jiaxin Xie, Yuqin Li, Dezhong Yao, Fali Li, Jintao Wu, Lin Jiang, Peng Xu
article en

Abstract

Cooperation and competition are fundamental to human social interaction. While recent hyperscanning studies have linked stronger interbrain synchrony (IBS) to successful cooperation, most have focused on dyadic interactions, leaving the underlying neural mechanisms of group-level social behavior largely unknown. Here, we employed EEG hyperscanning to investigate interbrain neural dynamics of triadic cooperative and competitive interactions. Distinct interbrain network patterns emerged in the delta and beta bands, with cooperation showing enhanced frontal-parietal IBS and more efficient network properties. Non-parametric cluster-based permutation tests further identified significant regional differences in a left-lateralized frontal-temporal-parietal cluster in both bands. Crucially, increased delta-band frontal-parietal IBS was closely associated with better group-level cooperative performance. Moreover, classification and prediction models based on delta-band interbrain metrics successfully distinguished interaction types and predicted cooperative outcomes. These findings uncover interbrain neurocognitive traits that reflect specific social behavioral contexts, highlighting the pivotal role of frontal-parietal synchrony and delta-band modulations in supporting group cooperation. Together, our results advance the understanding of the neural basis of triadic social interaction and underscore the potential of interbrain network signatures as biomarkers for decoding and predicting complex social behaviors.

NeuroImageVol. 331
University of Electronic Science and Technology of China (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Beijing Research Institute of Mechanical and Electrical Technology (CN), Beijing Institute of Power Machinery (China) (CN)
Partnerships for the goals
Openalex Percentile: Top 28%
Action Observation and Synchronization
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