Music perception involves acoustic tone activity and scene (melody, harmony) analysis, as well as its processing of musical syntax and semantics, that lead to the activation of the prefrontal cortex (and active motor) actions. The present study aimed to clarify the underlying neural networks during music perception in musicians and non-musicians. We examined spontaneous brain activities in six musicians (five musically trained students and one singer), and five non-musically trained students while listening to Dvorak’s “From the new world” and Mozart’s “Requiem” for 150 seconds for each piece, imaging the music for 60 seconds thereafter, using 60-ch electroencephalography (EEG). The data were analyzed and compared with those of the resting state. We adopted Morlet wavelet time-frequency analysis, and root mean square (RMS) was calculated in each frequency-band (Delta: 1–4 Hz, Theta: 4–8 Hz, Alpha: 8–13 Hz, Beta: 13–30 Hz, Gamma 30–50 Hz). During listening to the music, gamma activity was significantly decreased in all of the regions. While imaging the music, the musicians’ gamma activity was significantly decreased in the entire cortical areas, whereas the non-musicians’ gamma activity increased in the frontal area. A gamma activity decreased during perception of the music, especially in the prefrontal cortex in musicians; it is strongly related to the integration of recognition and emotion which reflects the processing of music in a highly integrated consciousness level. The frontal gamma activity shown here may indicate that musicians image the music in the same or similar condition as they are listening to the music that is, they do image and replay the music in the implicit memory compiled from the explicit acoustic memory while listening to the music. The differences as evidently shown in music perception between well-trained and non-trained students may reflect the differences of their education in musical experiences and expert skills obtained in their music carrier.
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