Electroencephalogram patterns with the presence of an unknown musical stimulus
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
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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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|| |
_version_ |
1797069081945309184 |