Electroencephalogram patterns with the presence of an unknown musical stimulus

Ana Clara Pereira Resende da  Costa; Camila Davi Ramos; Amanda Rosa  Ferreira-Jorge; Marcos Campos; João-Batista  Destro-Filho; Pedro Frosi Rosa

doi:10.14393/BJ-v37n0a2021-49455

Authors

Ana Clara Pereira Resende da Costa Universidade Federal de Uberlândia https://orcid.org/0000-0002-5533-8880
Camila Davi Ramos Universidade Federal de Uberlândia https://orcid.org/0000-0002-7864-5568
Amanda Rosa Ferreira-Jorge Universidade Federal de Uberlândia https://orcid.org/0000-0001-9319-3371
Marcos Campos Universidade Federal de Uberlândia https://orcid.org/0000-0002-4750-8245
João-Batista Destro-Filho Universidade Federal de Uberlândia https://orcid.org/0000-0001-5306-8058
Pedro Frosi Rosa Universidade Federal de Uberlândia https://orcid.org/0000-0001-8820-9113

DOI:

https://doi.org/10.14393/BJ-v37n0a2021-49455

Keywords:

Electroencephalography, Musical Stimulus, Time-frequency Analysis.

Abstract

The cerebral activity presents different behaviors in different situations and levels of consciousness, especially under musical stimulation. Signals of the central nervous system may disclose bioelectrical patterns, since listening to rhythmic sequences activates specific brain areas. In this paper, we analyze 42 neurologically normal Brazilian individuals, submitted to musical stimulation based on a procedure consisting of three different steps, during which the volunteer is kept with closed eyes. The first step is associated with the preliminary control silence period, without any stimulus, as the volunteer remains at rest. The second step consisted of unknown music stimulation. Finally, the third step involves post-music rest. Quantitative signal analysis computes the power spectrum time variations. Results point out stronger changes in gamma and high gamma waves (30 – 100 Hz). Even though the clinical rhythms (0 – 30 Hz) change throughout the whole period of the experiment, quantitative differences at gamma and high gamma bands are remarkably greater. Particularly, when comparing the initial silent period and the final post-stimulation silent one, bioelectrical differences are only highlighted by gamma and high gamma rhythms. In consequence, this paper points out that the EEG analysis of cognitive issues related to musical perception cannot disregard gamma and high gamma waves.

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