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Unraveling nonlinear electrophysiologic processes in the human visual system with full dimension spectral analysis

Natural sensory signals have nonlinear structures dynamically composed of the carrier frequencies and the variation of the amplitude (i.e., envelope). How the human brain processes the envelope information is still poorly understood, largely due to the conventional analysis failing to quantify it di...

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Autores principales: Nguyen, Kien Trong, Liang, Wei-Kuang, Lee, Victor, Chang, Wen-Sheng, Muggleton, Neil G., Yeh, Jia-Rong, Huang, Norden E., Juan, Chi-Hung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6858326/
https://www.ncbi.nlm.nih.gov/pubmed/31729410
http://dx.doi.org/10.1038/s41598-019-53286-z
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author Nguyen, Kien Trong
Liang, Wei-Kuang
Lee, Victor
Chang, Wen-Sheng
Muggleton, Neil G.
Yeh, Jia-Rong
Huang, Norden E.
Juan, Chi-Hung
author_facet Nguyen, Kien Trong
Liang, Wei-Kuang
Lee, Victor
Chang, Wen-Sheng
Muggleton, Neil G.
Yeh, Jia-Rong
Huang, Norden E.
Juan, Chi-Hung
author_sort Nguyen, Kien Trong
collection PubMed
description Natural sensory signals have nonlinear structures dynamically composed of the carrier frequencies and the variation of the amplitude (i.e., envelope). How the human brain processes the envelope information is still poorly understood, largely due to the conventional analysis failing to quantify it directly. Here, we used a recently developed method, Holo-Hilbert spectral analysis, and steady-state visually evoked potential collected using electroencephalography (EEG) recordings to investigate how the human visual system processes the envelope of amplitude-modulated signals, in this case with a 14 Hz carrier and a 2 Hz envelope. The EEG results demonstrated that in addition to the fundamental stimulus frequencies, 4 Hz amplitude modulation residing in 14 Hz carrier and a broad range of carrier frequencies covering from 8 to 32 Hz modulated by 2 Hz amplitude modulation are also found in the two-dimensional frequency spectrum, which have not yet been recognized before. The envelope of the stimulus is also found to dominantly modulate the response to the incoming signal. The findings thus reveal that the electrophysiological response to amplitude-modulated stimuli is more complex than could be revealed by, for example, Fourier analysis. This highlights the dynamics of neural processes in the visual system.
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spelling pubmed-68583262019-11-27 Unraveling nonlinear electrophysiologic processes in the human visual system with full dimension spectral analysis Nguyen, Kien Trong Liang, Wei-Kuang Lee, Victor Chang, Wen-Sheng Muggleton, Neil G. Yeh, Jia-Rong Huang, Norden E. Juan, Chi-Hung Sci Rep Article Natural sensory signals have nonlinear structures dynamically composed of the carrier frequencies and the variation of the amplitude (i.e., envelope). How the human brain processes the envelope information is still poorly understood, largely due to the conventional analysis failing to quantify it directly. Here, we used a recently developed method, Holo-Hilbert spectral analysis, and steady-state visually evoked potential collected using electroencephalography (EEG) recordings to investigate how the human visual system processes the envelope of amplitude-modulated signals, in this case with a 14 Hz carrier and a 2 Hz envelope. The EEG results demonstrated that in addition to the fundamental stimulus frequencies, 4 Hz amplitude modulation residing in 14 Hz carrier and a broad range of carrier frequencies covering from 8 to 32 Hz modulated by 2 Hz amplitude modulation are also found in the two-dimensional frequency spectrum, which have not yet been recognized before. The envelope of the stimulus is also found to dominantly modulate the response to the incoming signal. The findings thus reveal that the electrophysiological response to amplitude-modulated stimuli is more complex than could be revealed by, for example, Fourier analysis. This highlights the dynamics of neural processes in the visual system. Nature Publishing Group UK 2019-11-15 /pmc/articles/PMC6858326/ /pubmed/31729410 http://dx.doi.org/10.1038/s41598-019-53286-z Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Nguyen, Kien Trong
Liang, Wei-Kuang
Lee, Victor
Chang, Wen-Sheng
Muggleton, Neil G.
Yeh, Jia-Rong
Huang, Norden E.
Juan, Chi-Hung
Unraveling nonlinear electrophysiologic processes in the human visual system with full dimension spectral analysis
title Unraveling nonlinear electrophysiologic processes in the human visual system with full dimension spectral analysis
title_full Unraveling nonlinear electrophysiologic processes in the human visual system with full dimension spectral analysis
title_fullStr Unraveling nonlinear electrophysiologic processes in the human visual system with full dimension spectral analysis
title_full_unstemmed Unraveling nonlinear electrophysiologic processes in the human visual system with full dimension spectral analysis
title_short Unraveling nonlinear electrophysiologic processes in the human visual system with full dimension spectral analysis
title_sort unraveling nonlinear electrophysiologic processes in the human visual system with full dimension spectral analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6858326/
https://www.ncbi.nlm.nih.gov/pubmed/31729410
http://dx.doi.org/10.1038/s41598-019-53286-z
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