Abstract
<title>Abstract</title> <p>Music exhibits complex temporal structures that often display fractal and scale-invariant properties, which may interact with the intrinsic dynamics of the human brain. In this study, we investigate the relationship between the fractal characteristics of musical features and the corresponding neural responses measured by Electroencephalography (EEG). Two musical excerpts with distinct emotional and dynamical profiles---one sentimental and calm and one epic and religious ---were analyzed in terms of \textit{Pitch, Loudness, and Rhythm} using \textit{Detrended Fluctuation Analysis (DFA)} to quantify long-range correlations via the \textit{Hurst exponent}. The calming music exhibits higher Hurst exponents in Rhythm and Loudness, indicating stronger long-range temporal correlations, whereas the stimulating music shows a higher Hurst exponent in Pitch, reflecting faster temporal variability. EEG signals recorded from 26 participants reveal increased scaling exponents in delta and theta bands during calming music, while stimulating music enhances beta and gamma activity and reduces temporal persistence in slower bands. These findings demonstrate a strong correspondence between the fractal organization of musical signals and the scale-dependent dynamics of brain activity.</p>