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Revealing spatio-spectral electroencephalographic dynamics of musical mode and tempo perception by independent component analysis
BACKGROUND: Music conveys emotion by manipulating musical structures, particularly musical mode- and tempo-impact. The neural correlates of musical mode and tempo perception revealed by electroencephalography (EEG) have not been adequately addressed in the literature. METHOD: This study used indepen...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3941612/ https://www.ncbi.nlm.nih.gov/pubmed/24581119 http://dx.doi.org/10.1186/1743-0003-11-18 |
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author | Lin, Yuan-Pin Duann, Jeng-Ren Feng, Wenfeng Chen, Jyh-Horng Jung, Tzyy-Ping |
author_facet | Lin, Yuan-Pin Duann, Jeng-Ren Feng, Wenfeng Chen, Jyh-Horng Jung, Tzyy-Ping |
author_sort | Lin, Yuan-Pin |
collection | PubMed |
description | BACKGROUND: Music conveys emotion by manipulating musical structures, particularly musical mode- and tempo-impact. The neural correlates of musical mode and tempo perception revealed by electroencephalography (EEG) have not been adequately addressed in the literature. METHOD: This study used independent component analysis (ICA) to systematically assess spatio-spectral EEG dynamics associated with the changes of musical mode and tempo. RESULTS: Empirical results showed that music with major mode augmented delta-band activity over the right sensorimotor cortex, suppressed theta activity over the superior parietal cortex, and moderately suppressed beta activity over the medial frontal cortex, compared to minor-mode music, whereas fast-tempo music engaged significant alpha suppression over the right sensorimotor cortex. CONCLUSION: The resultant EEG brain sources were comparable with previous studies obtained by other neuroimaging modalities, such as functional magnetic resonance imaging (fMRI) and positron emission tomography (PET). In conjunction with advanced dry and mobile EEG technology, the EEG results might facilitate the translation from laboratory-oriented research to real-life applications for music therapy, training and entertainment in naturalistic environments. |
format | Online Article Text |
id | pubmed-3941612 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-39416122014-03-05 Revealing spatio-spectral electroencephalographic dynamics of musical mode and tempo perception by independent component analysis Lin, Yuan-Pin Duann, Jeng-Ren Feng, Wenfeng Chen, Jyh-Horng Jung, Tzyy-Ping J Neuroeng Rehabil Research BACKGROUND: Music conveys emotion by manipulating musical structures, particularly musical mode- and tempo-impact. The neural correlates of musical mode and tempo perception revealed by electroencephalography (EEG) have not been adequately addressed in the literature. METHOD: This study used independent component analysis (ICA) to systematically assess spatio-spectral EEG dynamics associated with the changes of musical mode and tempo. RESULTS: Empirical results showed that music with major mode augmented delta-band activity over the right sensorimotor cortex, suppressed theta activity over the superior parietal cortex, and moderately suppressed beta activity over the medial frontal cortex, compared to minor-mode music, whereas fast-tempo music engaged significant alpha suppression over the right sensorimotor cortex. CONCLUSION: The resultant EEG brain sources were comparable with previous studies obtained by other neuroimaging modalities, such as functional magnetic resonance imaging (fMRI) and positron emission tomography (PET). In conjunction with advanced dry and mobile EEG technology, the EEG results might facilitate the translation from laboratory-oriented research to real-life applications for music therapy, training and entertainment in naturalistic environments. BioMed Central 2014-02-28 /pmc/articles/PMC3941612/ /pubmed/24581119 http://dx.doi.org/10.1186/1743-0003-11-18 Text en Copyright © 2014 Lin et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. |
spellingShingle | Research Lin, Yuan-Pin Duann, Jeng-Ren Feng, Wenfeng Chen, Jyh-Horng Jung, Tzyy-Ping Revealing spatio-spectral electroencephalographic dynamics of musical mode and tempo perception by independent component analysis |
title | Revealing spatio-spectral electroencephalographic dynamics of musical mode and tempo perception by independent component analysis |
title_full | Revealing spatio-spectral electroencephalographic dynamics of musical mode and tempo perception by independent component analysis |
title_fullStr | Revealing spatio-spectral electroencephalographic dynamics of musical mode and tempo perception by independent component analysis |
title_full_unstemmed | Revealing spatio-spectral electroencephalographic dynamics of musical mode and tempo perception by independent component analysis |
title_short | Revealing spatio-spectral electroencephalographic dynamics of musical mode and tempo perception by independent component analysis |
title_sort | revealing spatio-spectral electroencephalographic dynamics of musical mode and tempo perception by independent component analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3941612/ https://www.ncbi.nlm.nih.gov/pubmed/24581119 http://dx.doi.org/10.1186/1743-0003-11-18 |
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