ArticleScientific reports2022
Task-related, intrinsic oscillatory and aperiodic neural activity predict performance in naturalistic team-based training scenarios.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Reviewing digital collaborative interactions with multimodal hyperscanning through an ever-growing database.Frontiers in neuroergonomics · 2026Pooled it
- Medication-invariant resting aperiodic and periodic neural activity in Parkinson's disease.Psychophysiology · 2024Article
- Test-retest reliability of spectral parameterization by 1/f characterization using SpecParam.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Enhancing EEG-based attachment style prediction: unveiling the impact of feature domains.Frontiers in psychology · 2024Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Effective teams are essential for optimally functioning societies. However, little is known regarding the neural basis of two or more individuals engaging cooperatively in real-world tasks, such as in operational training environments. In this exploratory study, we recruited forty individuals paired as twenty dyads and recorded dual-EEG at rest and during realistic training scenarios of increasing complexity using virtual simulation systems. We estimated markers of intrinsic brain activity (i.e., individual alpha frequency and aperiodic activity), as well as task-related theta and alpha oscillations. Using nonlinear modelling and a logistic regression machine learning model, we found that resting-state EEG predicts performance and can also reliably differentiate between members within a dyad. Task-related theta and alpha activity during easy training tasks predicted later performance on complex training to a greater extent than prior behaviour. These findings complement laboratory-based research on both oscillatory and aperiodic activity in higher-order cognition and provide evidence that theta and alpha activity play a critical role in complex task performance in team environments.
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