Abstract
This study examined whether inter-brain synchrony (IBS), measured via functional near-infrared spectroscopy (fNIRS) hyperscanning, may serve as a neurophysiological indicator for team collaboration following structured training. Conventional evaluations of team training rely primarily on subjective ratings and performance metrics. Although IBS has been proposed as an index of neural coordination, its relation to collaboration quality and training-induced change remains unclear. Forty-eight adults (24 dyads) were randomized to a structured team-training or no-training control group and completed a fast-paced microworld task. Independent observers subsequently rated teamwork quality from video recordings. Exploratory machine-learning classifiers were trained on channel-wise IBS features to predict each team's training status. Trained dyads showed significantly lower prefrontal IBS in specific channels than controls, a pattern accompanied by higher observer-rated teamwork scores. Classifiers achieved moderate cross-validated accuracy (≈0.73) for nominal labels and higher performance when calibrated against observer ratings (AUC up to 0.94). Interpreted within Mutual Prediction Theory (MPT), these findings suggest that IBS need not monotonically increase with better teamwork; in high-tempo operational tasks, improved coordination may coincide with reduced online mutual prediction demand. This pattern is compatible with a team neural efficiency account in which effective coordination is achieved with reduced inter-brain coupling. Together, the results motivate future work to validate generalizability and assess feasibility for monitoring and training applications in safety-critical domains.
| Original language | English |
|---|---|
| Article number | 103892 |
| Journal | International Journal of Industrial Ergonomics |
| Volume | 112 |
| Early online date | 15 Jan 2026 |
| DOIs | |
| Publication status | E-pub ahead of print - 15 Jan 2026 |
Bibliographical note
The authors thank Chenhui Xu and Ruijie Huang for their assistance in data analysis. During the preparation of this work, the author(s) used ChatGPT (OpenAI, version 4o) for proofreading. After using this tool, the author(s) reviewed and edited the content as needed and take(s) full responsibility for the content of the publication.Publisher Copyright: © 2026 The Authors
Funding
This research was funded by the Philosophy and Social Science Planning Project of Zhejiang Province (No. 26NDJC005YB), the National Natural Science Foundation of China (Nos. T2192931, 62577047, 62337001), the Fundamental Research Funds for the Central Universities (No. 226-2025-00127), and the Zhejiang Provincial Natural Science Foundation of China (No. LMS25C090002).
Keywords
- Neuroergonomics
- functional near-infrared spectroscopy (fNIRS)
- Inter-brain synchrony
- Teamwork