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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...

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Autores principales: Lin, Yuan-Pin, Duann, Jeng-Ren, Feng, Wenfeng, Chen, Jyh-Horng, Jung, Tzyy-Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
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.
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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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