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Scale-Free Brain-Wave Music from Simultaneously EEG and fMRI Recordings

In the past years, a few methods have been developed to translate human EEG to music. In 2009, PloS One 4 e5915, we developed a method to generate scale-free brainwave music where the amplitude of EEG was translated to music pitch according to the power law followed by both of them, the period of an...

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Detalles Bibliográficos
Autores principales: Lu, Jing, Wu, Dan, Yang, Hua, Luo, Cheng, Li, Chaoyi, Yao, Dezhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3498178/
https://www.ncbi.nlm.nih.gov/pubmed/23166768
http://dx.doi.org/10.1371/journal.pone.0049773
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author Lu, Jing
Wu, Dan
Yang, Hua
Luo, Cheng
Li, Chaoyi
Yao, Dezhong
author_facet Lu, Jing
Wu, Dan
Yang, Hua
Luo, Cheng
Li, Chaoyi
Yao, Dezhong
author_sort Lu, Jing
collection PubMed
description In the past years, a few methods have been developed to translate human EEG to music. In 2009, PloS One 4 e5915, we developed a method to generate scale-free brainwave music where the amplitude of EEG was translated to music pitch according to the power law followed by both of them, the period of an EEG waveform is translated directly to the duration of a note, and the logarithm of the average power change of EEG is translated to music intensity according to the Fechner's law. In this work, we proposed to adopt simultaneously-recorded fMRI signal to control the intensity of the EEG music, thus an EEG-fMRI music is generated by combining two different and simultaneous brain signals. And most importantly, this approach further realized power law for music intensity as fMRI signal follows it. Thus the EEG-fMRI music makes a step ahead in reflecting the physiological process of the scale-free brain.
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spelling pubmed-34981782012-11-19 Scale-Free Brain-Wave Music from Simultaneously EEG and fMRI Recordings Lu, Jing Wu, Dan Yang, Hua Luo, Cheng Li, Chaoyi Yao, Dezhong PLoS One Research Article In the past years, a few methods have been developed to translate human EEG to music. In 2009, PloS One 4 e5915, we developed a method to generate scale-free brainwave music where the amplitude of EEG was translated to music pitch according to the power law followed by both of them, the period of an EEG waveform is translated directly to the duration of a note, and the logarithm of the average power change of EEG is translated to music intensity according to the Fechner's law. In this work, we proposed to adopt simultaneously-recorded fMRI signal to control the intensity of the EEG music, thus an EEG-fMRI music is generated by combining two different and simultaneous brain signals. And most importantly, this approach further realized power law for music intensity as fMRI signal follows it. Thus the EEG-fMRI music makes a step ahead in reflecting the physiological process of the scale-free brain. Public Library of Science 2012-11-14 /pmc/articles/PMC3498178/ /pubmed/23166768 http://dx.doi.org/10.1371/journal.pone.0049773 Text en © 2012 Lu et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Lu, Jing
Wu, Dan
Yang, Hua
Luo, Cheng
Li, Chaoyi
Yao, Dezhong
Scale-Free Brain-Wave Music from Simultaneously EEG and fMRI Recordings
title Scale-Free Brain-Wave Music from Simultaneously EEG and fMRI Recordings
title_full Scale-Free Brain-Wave Music from Simultaneously EEG and fMRI Recordings
title_fullStr Scale-Free Brain-Wave Music from Simultaneously EEG and fMRI Recordings
title_full_unstemmed Scale-Free Brain-Wave Music from Simultaneously EEG and fMRI Recordings
title_short Scale-Free Brain-Wave Music from Simultaneously EEG and fMRI Recordings
title_sort scale-free brain-wave music from simultaneously eeg and fmri recordings
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3498178/
https://www.ncbi.nlm.nih.gov/pubmed/23166768
http://dx.doi.org/10.1371/journal.pone.0049773
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