Harnessing functional segregation across brain rhythms as a means to detect EEG oscillatory multiplexing during music listening

Abstract

Music, being a multifaceted stimulus evolving at multiple timescales, modulates brain function in a manifold way that encompasses not only the distinct stages of auditory perception but also higher cognitive processes like memory and appraisal. Network theory is apparently a promising approach to describe the functional reorganization of brain oscillatory dynamics during music listening. However, the music induced changes have so far been examined within the functional boundaries of isolated brain rhythms. Using naturalistic music, we detected the functional segregation patterns associated with different cortical rhythms, as these were reflected in the surface EEG measurements. The emerged structure was compared across frequency bands to quantify the interplay among rhythms. It was also contrasted against the structure from the rest and noise listening conditions to reveal the specific components stemming from music listening. Our methodology includes an efficient graph-partitioning algorithm, which is further utilized for mining prototypical modular patterns, and a novel algorithmic procedure for identifying switching nodes that consistently change module during music listening. Our results suggest the multiplex character of the music-induced functional reorganization and particularly indicate the dependence between the networks reconstructed from the δ and βH rhythms. This dependence is further justified within the framework of nested neural oscillations and fits perfectly within the context of recently introduced cortical entrainment to music. Considering its computational efficiency, and in conjunction with the flexibility of in situ electroencephalography, it may lead to novel assistive tools for real-life applications.

arXiv commentPre-print version of the paper published in Journal of Neural Engineering (2018)

References in corpus (11)

• Statistical mechanics of complex networks
• Multilayer Networks
• The structure and dynamics of multilayer networks
• Community Structure in Time-Dependent, Multiscale, and Multiplex Networks
• Dynamic reconfiguration of human brain networks during learning
• Weight-conserving characterization of complex functional brain networks
• Consensus clustering in complex networks
• Layer aggregation and reducibility of multilayer interconnected networks
• Weighted Multiplex Networks
• Mapping multiplex hubs in human functional brain network
• Towards the bio-personalization of music recommendation systems: A single-sensor EEG biomarker of subjective music preference