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Optical mapping of the dominant frequency of brain signal oscillations in motor systems

Recent neuroimaging studies revealed that the dominant frequency of neural oscillations is brain-region-specific and can vary with frequency-specific reorganization of brain networks during cognition. In this study, we examined the dominant frequency in low-frequency neural oscillations represented...

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Autores principales: Lu, Feng-Mei, Wang, Yi-Feng, Zhang, Juan, Chen, Hua-Fu, Yuan, Zhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5677051/
https://www.ncbi.nlm.nih.gov/pubmed/29116158
http://dx.doi.org/10.1038/s41598-017-15046-9
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author Lu, Feng-Mei
Wang, Yi-Feng
Zhang, Juan
Chen, Hua-Fu
Yuan, Zhen
author_facet Lu, Feng-Mei
Wang, Yi-Feng
Zhang, Juan
Chen, Hua-Fu
Yuan, Zhen
author_sort Lu, Feng-Mei
collection PubMed
description Recent neuroimaging studies revealed that the dominant frequency of neural oscillations is brain-region-specific and can vary with frequency-specific reorganization of brain networks during cognition. In this study, we examined the dominant frequency in low-frequency neural oscillations represented by oxygenated hemoglobin measurements after the hemodynamic response function (HRF) deconvolution. Twenty-nine healthy college subjects were recruited to perform a serial finger tapping task at the frequency of 0.2 Hz. Functional near-infrared spectroscopy (fNIRS) was applied to record the hemodynamic signals over the primary motor cortex, supplementary motor area (SMA), premotor cortex, and prefrontal area. We then explored the low frequency steady-state brain response (lfSSBR), which was evoked in the motor systems at the fundamental frequency (0.2 Hz) and its harmonics (0.4, 0.6, and 0.8 Hz). In particular, after HRF deconvolution, the lfSSBR at the frequency of 0.4 Hz in the SMA was identified as the dominant frequency. Interestingly, the domain frequency exhibited the correlation with behavior data such as reaction time, indicating that the physiological implication of lfSSBR is related to the brain anatomy, stimulus frequency and cognition. More importantly, the HRF deconvolution showed its capability for recovering signals probably reflecting neural-level events and revealing the physiological meaning of lfSSBR.
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spelling pubmed-56770512017-11-15 Optical mapping of the dominant frequency of brain signal oscillations in motor systems Lu, Feng-Mei Wang, Yi-Feng Zhang, Juan Chen, Hua-Fu Yuan, Zhen Sci Rep Article Recent neuroimaging studies revealed that the dominant frequency of neural oscillations is brain-region-specific and can vary with frequency-specific reorganization of brain networks during cognition. In this study, we examined the dominant frequency in low-frequency neural oscillations represented by oxygenated hemoglobin measurements after the hemodynamic response function (HRF) deconvolution. Twenty-nine healthy college subjects were recruited to perform a serial finger tapping task at the frequency of 0.2 Hz. Functional near-infrared spectroscopy (fNIRS) was applied to record the hemodynamic signals over the primary motor cortex, supplementary motor area (SMA), premotor cortex, and prefrontal area. We then explored the low frequency steady-state brain response (lfSSBR), which was evoked in the motor systems at the fundamental frequency (0.2 Hz) and its harmonics (0.4, 0.6, and 0.8 Hz). In particular, after HRF deconvolution, the lfSSBR at the frequency of 0.4 Hz in the SMA was identified as the dominant frequency. Interestingly, the domain frequency exhibited the correlation with behavior data such as reaction time, indicating that the physiological implication of lfSSBR is related to the brain anatomy, stimulus frequency and cognition. More importantly, the HRF deconvolution showed its capability for recovering signals probably reflecting neural-level events and revealing the physiological meaning of lfSSBR. Nature Publishing Group UK 2017-11-07 /pmc/articles/PMC5677051/ /pubmed/29116158 http://dx.doi.org/10.1038/s41598-017-15046-9 Text en © The Author(s) 2017 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
Lu, Feng-Mei
Wang, Yi-Feng
Zhang, Juan
Chen, Hua-Fu
Yuan, Zhen
Optical mapping of the dominant frequency of brain signal oscillations in motor systems
title Optical mapping of the dominant frequency of brain signal oscillations in motor systems
title_full Optical mapping of the dominant frequency of brain signal oscillations in motor systems
title_fullStr Optical mapping of the dominant frequency of brain signal oscillations in motor systems
title_full_unstemmed Optical mapping of the dominant frequency of brain signal oscillations in motor systems
title_short Optical mapping of the dominant frequency of brain signal oscillations in motor systems
title_sort optical mapping of the dominant frequency of brain signal oscillations in motor systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5677051/
https://www.ncbi.nlm.nih.gov/pubmed/29116158
http://dx.doi.org/10.1038/s41598-017-15046-9
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