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Recent advances in biosensors technology and mobile electroencephalographic(EEG) interfaces have opened new application fields for cognitive monitoring. Acomputable biomarker for the assessment of spontaneous aesthetic brainresponses during music listening is introduced here. It derives fromwell-established measures of cross-frequency coupling (CFC) and quantifies themusic-induced alterations in the dynamic relationships between brain rhythms.During a stage of exploratory analysis, and using the signals from a suitablydesigned experiment, we established the biomarker, which acts on brainactivations recorded over the left prefrontal cortex and focuses on thefunctional coupling between high-beta and low-gamma oscillations. Based on datafrom an additional experimental paradigm, we validated the introduced biomarkerand showed its relevance for expressing the subjective aesthetic appreciationof a piece of music. Our approach resulted in an affordable tool that canpromote human-machine interaction and, by serving as a personalized musicannotation strategy, can be potentially integrated into modern flexible musicrecommendation systems.  Keywords: Cross-frequency coupling; Human-computer interaction;Brain-computer interface

Towards the bio-personalization of music recommendation systems: A single-sensor EEG biomarker of subjective music preference