Electroencephalogram patterns with the presence of an unknown musical stimulus

Detalhes bibliográficos
Autor(a) principal: Costa, Ana Clara Pereira Resende da
Data de Publicação: 2021
Outros Autores: Davi Ramos, Camila, Ferreira-Jorge, Amanda Rosa, Campos, Marcos, Destro-Filho, João-Batista, Frosi Rosa, Pedro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bioscience journal (Online)
Texto Completo: https://seer.ufu.br/index.php/biosciencejournal/article/view/49455
Resumo: 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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spelling Electroencephalogram patterns with the presence of an unknown musical stimulusElectroencephalographyMusical StimulusTime-frequency Analysis.Health SciencesThe 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.EDUFU2021-10-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/4945510.14393/BJ-v37n0a2021-49455Bioscience Journal ; Vol. 37 (2021): Continuous Publication; e37066Bioscience Journal ; v. 37 (2021): Continuous Publication; e370661981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/biosciencejournal/article/view/49455/32799Brazil; ContemporaryCopyright (c) 2021 Ana Clara Pereira Resende da Costa, Camila Davi Ramos, Amanda Rosa Ferreira-Jorge, Marcos Campos, João-Batista Destro-Filho, Pedro Frosi Rosahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCosta, Ana Clara Pereira Resende da Davi Ramos, CamilaFerreira-Jorge, Amanda Rosa Campos, MarcosDestro-Filho, João-Batista Frosi Rosa, Pedro2022-05-25T18:10:03Zoai:ojs.www.seer.ufu.br:article/49455Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2022-05-25T18:10:03Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv Electroencephalogram patterns with the presence of an unknown musical stimulus
title Electroencephalogram patterns with the presence of an unknown musical stimulus
spellingShingle Electroencephalogram patterns with the presence of an unknown musical stimulus
Costa, Ana Clara Pereira Resende da
Electroencephalography
Musical Stimulus
Time-frequency Analysis.
Health Sciences
title_short Electroencephalogram patterns with the presence of an unknown musical stimulus
title_full Electroencephalogram patterns with the presence of an unknown musical stimulus
title_fullStr Electroencephalogram patterns with the presence of an unknown musical stimulus
title_full_unstemmed Electroencephalogram patterns with the presence of an unknown musical stimulus
title_sort Electroencephalogram patterns with the presence of an unknown musical stimulus
author Costa, Ana Clara Pereira Resende da
author_facet Costa, Ana Clara Pereira Resende da
Davi Ramos, Camila
Ferreira-Jorge, Amanda Rosa
Campos, Marcos
Destro-Filho, João-Batista
Frosi Rosa, Pedro
author_role author
author2 Davi Ramos, Camila
Ferreira-Jorge, Amanda Rosa
Campos, Marcos
Destro-Filho, João-Batista
Frosi Rosa, Pedro
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Costa, Ana Clara Pereira Resende da
Davi Ramos, Camila
Ferreira-Jorge, Amanda Rosa
Campos, Marcos
Destro-Filho, João-Batista
Frosi Rosa, Pedro
dc.subject.por.fl_str_mv Electroencephalography
Musical Stimulus
Time-frequency Analysis.
Health Sciences
topic Electroencephalography
Musical Stimulus
Time-frequency Analysis.
Health Sciences
description 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.
publishDate 2021
dc.date.none.fl_str_mv 2021-10-28
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.ufu.br/index.php/biosciencejournal/article/view/49455
10.14393/BJ-v37n0a2021-49455
url https://seer.ufu.br/index.php/biosciencejournal/article/view/49455
identifier_str_mv 10.14393/BJ-v37n0a2021-49455
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/biosciencejournal/article/view/49455/32799
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Brazil; Contemporary
dc.publisher.none.fl_str_mv EDUFU
publisher.none.fl_str_mv EDUFU
dc.source.none.fl_str_mv Bioscience Journal ; Vol. 37 (2021): Continuous Publication; e37066
Bioscience Journal ; v. 37 (2021): Continuous Publication; e37066
1981-3163
reponame:Bioscience journal (Online)
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Bioscience journal (Online)
collection Bioscience journal (Online)
repository.name.fl_str_mv Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv biosciencej@ufu.br||
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