Ensemble music performance stands as a remarkable example of coordinated social behavior, demanding not only precise physical movements but also the alignment of diverse neural processes within and between musicians. Previous research has explored intra- and inter-brain coordination by focusing on within-frequency coupling (WFC), revealing that different frequencies play roles in these processes and exhibit distinct network topology dynamics that underpin synchronized actions and interactions. However, a comprehensive understanding of hyper-brain interaction during musical collaboration, such as a guitar quartet, necessitates the consideration of cross-frequency coupling (CFC), as many neural connections likely operate across different frequencies.
To achieve a more complete view of these complex interactions, the concept of hyper-brain hyper-frequency networks (HB-HFNs) becomes crucial. HB-HFNs integrate information flow across various oscillation frequencies, providing detailed insights into ensemble interaction through network topology dynamics (NTD). This approach allows us to explore Guitar Topology in the context of musical performance, revealing the intricate neural architecture that supports musical synchrony.
Re-analyzing electroencephalogram (EEG) data from four guitarists performing as a quartet, we investigated the changes in HB-HFN topology dynamics and their relationship to the acoustic signals of their music. Our findings highlight the crucial role of low-frequency oscillations, specifically delta, theta, and alpha, as integrators or pacemakers within these complex networks. Furthermore, the dynamics of HFN topology were demonstrably linked to the guitar quartet’s playing dynamics, as assessed through sound properties.
Simulations involving link removal were conducted to assess the resilience of the HB-HFN. These simulations indicated that the network is relatively robust to connection loss, particularly when the strongest connections are preserved and when connection loss is limited to the brain of a single guitarist.
In conclusion, hyper-brain hyper-frequency networks offer a powerful framework for capturing the neural mechanisms that facilitate interpersonally coordinated action and behavioral synchrony in ensemble music. The study of guitar topology through HB-HFNs provides valuable insights into the neural underpinnings of musical collaboration, emphasizing the integrative function of low-frequency oscillations and the dynamic interplay between neural network structure and musical expression.
