The topology of interpersonal neural network in weak social ties
Abstract
People often have opportunities to engage in social interactions with strangers, which have been reported to contribute to their well-being. Although strategies for social interaction between strangers differ from those between acquaintances, the differences in neural basis of social interaction have not been fully elucidated. In this study, we examined the geometrical properties of interpersonal neural networks in pairs of strangers and acquaintances during joint tapping using dual electroencephalography (EEG). Twenty-one pairs of participants performed antiphase joint tapping under four different conditions. Intra-brain synchronizations were calculated using the weighted phase lag index (wPLI) for all possible intra-brain pairs of the 29 channels (29C2 = 406), and inter-brain synchronizations were calculated using the phase locking value (PLV) for all possible inter-brain pairs of the 29 channels (29 x 29 = 841) in the theta, alpha, and beta frequency bands. Electrode pairs with larger wPLI and PLV than their surrogates were defined as the nodes (EEG channels) and edges (connections between nodes) of the neural networks. We then calculated the global efficiency, local efficiency, clustering coefficient, and modularity derived from graph theory for the combined intra- and inter-brain networks of each pair. No significant differences in the tapping phase variance were identified between the stranger and acquaintance pairs. However, in the combined intra- and inter-brain theta EEG (4-7 Hz) networks, stranger pairs showed larger local efficiency and cluster coefficients than acquaintance pairs, indicating that the two brains of stranger pairs were more densely connected. Moreover, in the beta EEG bands, the modularity of the two brains was low in the fast condition, indicating that the two brains were coupled when the task demand was high. Our results show that weak social ties promote more extensive social interactions and result in dense brain-to-brain coupling.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 10
- FWCI
- 4.73
- Field percentile
- top 6%
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- A unifying mechanism governing inter-brain neural relationship during social interactions
Wujie Zhang, Maimon C Rose, Michael M Yartsev·eLifePeer-reviewed·Feb 10, 2022
- Friendship modulates physical effort and neural dynamics during group coordination in shared social networks
Qianliang Li, Aliaksandr Dabranau, … Ivana Konvalinka·bioRxiv·Sep 1, 2026
- Interacting brains revisited: A cross-brain network neuroscience perspective
Christian Gerloff, Kerstin Konrad, … Vanessa Reindl·Human Brain MappingPeer-reviewed·Jun 6, 2022
- Crowdsourcing neuroscience: inter-brain coupling during face-to-face interactions outside the laboratory
Suzanne Dikker, Georgios Michalareas, … David Poeppel·NeuroImagePeer-reviewed·Oct 8, 2020
- Amplitude without phase: interpersonal movement coordination grades inter-brain coupling
Noor Tasnim, Rachel M. Delauder, … Julia C. Basso·bioRxiv·Sep 15, 2026
- The Relationship between Stability of Interpersonal Coordination and Inter-Brain EEG Synchronization during Anti-phase Tapping
Yuto Kurihara, Tōru Takahashi, Rieko Osu·Scientific ReportsPeer-reviewed·Apr 13, 2022