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Non-invasive detection of language-related prefrontal high gamma band activity with beamforming MEG
High gamma band (>50 Hz) activity is a key oscillatory phenomenon of brain activation. However, there has not been a non-invasive method established to detect language-related high gamma band activity. We used a 160-channel whole-head magnetoencephalography (MEG) system equipped with superconduct...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5660237/ https://www.ncbi.nlm.nih.gov/pubmed/29079768 http://dx.doi.org/10.1038/s41598-017-14452-3 |
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author | Hashimoto, Hiroaki Hasegawa, Yuka Araki, Toshihiko Sugata, Hisato Yanagisawa, Takufumi Yorifuji, Shiro Hirata, Masayuki |
author_facet | Hashimoto, Hiroaki Hasegawa, Yuka Araki, Toshihiko Sugata, Hisato Yanagisawa, Takufumi Yorifuji, Shiro Hirata, Masayuki |
author_sort | Hashimoto, Hiroaki |
collection | PubMed |
description | High gamma band (>50 Hz) activity is a key oscillatory phenomenon of brain activation. However, there has not been a non-invasive method established to detect language-related high gamma band activity. We used a 160-channel whole-head magnetoencephalography (MEG) system equipped with superconducting quantum interference device (SQUID) gradiometers to non-invasively investigate neuromagnetic activities during silent reading and verb generation tasks in 15 healthy participants. Individual data were divided into alpha (8–13 Hz), beta (13–25 Hz), low gamma (25–50 Hz), and high gamma (50–100 Hz) bands and analysed with the beamformer method. The time window was consecutively moved. Group analysis was performed to delineate common areas of brain activation. In the verb generation task, transient power increases in the high gamma band appeared in the left middle frontal gyrus (MFG) at the 550–750 ms post-stimulus window. We set a virtual sensor on the left MFG for time-frequency analysis, and high gamma event-related synchronization (ERS) induced by a verb generation task was demonstrated at 650 ms. In contrast, ERS in the high gamma band was not detected in the silent reading task. Thus, our study successfully non-invasively measured language-related prefrontal high gamma band activity. |
format | Online Article Text |
id | pubmed-5660237 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-56602372017-11-01 Non-invasive detection of language-related prefrontal high gamma band activity with beamforming MEG Hashimoto, Hiroaki Hasegawa, Yuka Araki, Toshihiko Sugata, Hisato Yanagisawa, Takufumi Yorifuji, Shiro Hirata, Masayuki Sci Rep Article High gamma band (>50 Hz) activity is a key oscillatory phenomenon of brain activation. However, there has not been a non-invasive method established to detect language-related high gamma band activity. We used a 160-channel whole-head magnetoencephalography (MEG) system equipped with superconducting quantum interference device (SQUID) gradiometers to non-invasively investigate neuromagnetic activities during silent reading and verb generation tasks in 15 healthy participants. Individual data were divided into alpha (8–13 Hz), beta (13–25 Hz), low gamma (25–50 Hz), and high gamma (50–100 Hz) bands and analysed with the beamformer method. The time window was consecutively moved. Group analysis was performed to delineate common areas of brain activation. In the verb generation task, transient power increases in the high gamma band appeared in the left middle frontal gyrus (MFG) at the 550–750 ms post-stimulus window. We set a virtual sensor on the left MFG for time-frequency analysis, and high gamma event-related synchronization (ERS) induced by a verb generation task was demonstrated at 650 ms. In contrast, ERS in the high gamma band was not detected in the silent reading task. Thus, our study successfully non-invasively measured language-related prefrontal high gamma band activity. Nature Publishing Group UK 2017-10-27 /pmc/articles/PMC5660237/ /pubmed/29079768 http://dx.doi.org/10.1038/s41598-017-14452-3 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 Hashimoto, Hiroaki Hasegawa, Yuka Araki, Toshihiko Sugata, Hisato Yanagisawa, Takufumi Yorifuji, Shiro Hirata, Masayuki Non-invasive detection of language-related prefrontal high gamma band activity with beamforming MEG |
title | Non-invasive detection of language-related prefrontal high gamma band activity with beamforming MEG |
title_full | Non-invasive detection of language-related prefrontal high gamma band activity with beamforming MEG |
title_fullStr | Non-invasive detection of language-related prefrontal high gamma band activity with beamforming MEG |
title_full_unstemmed | Non-invasive detection of language-related prefrontal high gamma band activity with beamforming MEG |
title_short | Non-invasive detection of language-related prefrontal high gamma band activity with beamforming MEG |
title_sort | non-invasive detection of language-related prefrontal high gamma band activity with beamforming meg |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5660237/ https://www.ncbi.nlm.nih.gov/pubmed/29079768 http://dx.doi.org/10.1038/s41598-017-14452-3 |
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