Abstract

The object of the study. Experimental research of music therapy methods. The problem to be solved. Determining the influence of selected musical composition of the audible frequency spectrum on the bioelectrical activity of students' brains, in particular alpha-, beta- and theta-rhythms. Main scientific results. The dependence of the influence on the bioelectrical activity of the brain of the compositions of the three frequency bands both individually and the composition as a whole is revealed. The dependence of alpha, beta and theta rhythms is shown. The area of ​​practical use of the research results. Medical institutions specializing in the treatment of disorders of the central nervous system, organic brain damage, stress, and its effective psychological rehabilitation. An innovative technological product. A technique of music therapy that allows to determine how different frequency ranges affect the bioelectrical activity of the human brain. The area of application of an innovative technological product. Clinical practice of using a music therapy.

Highlights

  • Music is an important model system for the study of rhythmic communication, because its rhythmic structure is well understood

  • The aim of our research is to study the spectral characteristics of the bioelectrical activity of students’ brains when listening to the complex audio signals, namely, musical compositions of different component-structural composition, characterized by the presence of a melodic component and playback speed

  • Regardless of the presence of the melodic component in the listened samples led to a decrease in the spectral power of the alpha rhythm and theta rhythm in the symmetrical occipital leads O1 and O2 (P(α0)=118.75 μW/Hz, P(α6)=65.5 μW/Hz; P(α0)=184.29 μW/Hz, P(α6)=136.97 μW/Hz and P (θ0)=95.86 μW/Hz, P(α6)=65.5 μW/Hz, P(α0)=160.99 μW/Hz, P(α6)=151.11 μW/Hz), as well as in the parietal lead of the left hemisphere P3 (P(α0)=65.68 μW/Hz P(α6)=44.94 μW/Hz and P(θ0)=62.68 μW/Hz P(θ6)=27.73 μW/Hz)

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Summary

Introduction

Music is an important model system for the study of rhythmic communication, because its rhythmic structure is well understood. Musical rhythms usually perceive the main rhythm in the range of about 0.5–4 Hz. Rhythmic patterns are perceived in the group of phrase structures. Language just like a music, is usually hierarchic, where syllables (4–8 Hz) are grouped into lexical and phrasal units on slower time scales (

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