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

doi:https://doi.org/10.1038/s41598-017-14452-3

Non-invasive detection of language-related prefrontal high gamma band activity with beamforming MEG

Hashimoto, Hiroaki; Hasegawa, Yuka; Araki, Toshihiko et al.

Scientific Reports, 2017, 7(1), 14262

Number of Access:751（2025-08-30 19:19 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/95535

Link to primary information

File	Format	Terms of use	Size	Views	Date.Available	Description	information
SciRep_7_1	pdf	None	1.70 MB	38	2024.05.14

Creative Commons : Attribution

Item Information

Output File Export EndNote Basic Export Mendeley

Title	Non-invasive detection of language-related prefrontal high gamma band activity with beamforming MEG
Creator	NRID 1000050770674 1000050770674 CreatorName Hashimoto, Hiroaki
	CreatorName Hasegawa, Yuka
	NRID 1000020755277 1000020755277 CreatorName Araki, Toshihiko
	NRID 1000030721500 1000030721500 CreatorName Sugata, Hisato
	NRID 1000090533802 1000090533802 researchmap permalink takufumi takufumi Scopus Author ID 16553812400 16553812400 ORCID 0000-0002-2057-0612 0000-0002-2057-0612 CreatorName Yanagisawa, Takufumi
	NRID 1000080191675 1000080191675 CreatorName Yorifuji, Shiro
	NRID 1000030372626 1000030372626 researchmap permalink hiratty hiratty Scopus Author ID 7403352253 7403352253 CreatorName Hirata, Masayuki
Description	Hashimoto H., Hasegawa Y., Araki T., et al. Non-invasive detection of language-related prefrontal high gamma band activity with beamforming MEG. Scientific Reports 7, 14262 (2017); https://doi.org/10.1038/s41598-017-14452-3.
Abstract	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.
Publisher	Nature Publishing GroupHoundmillsBasingstoke, HampshireRG21 6XS
Source Title	Scientific Reports
Volume (Issue)	7(1)
Page	14262
Date of Issued	2017-12-01
Language	English
Handle URL	https://hdl.handle.net/11094/95535
eISSN	20452322
Relation.isIdenticalTo	DOI (Publisher Version) https://doi.org/10.1038/s41598-017-14452-3
Access Rights	open access
CopyRight	This article is licensed under a Creative Commons Attribution 4.0 International License.
oaire:version	Version of Record
Category	学術雑誌論文 Journal Article

Resource Type	journal article
Local Type	Journal Article
DCMI Type	Text
DCTERMS.bibliographicCitation	Scientific Reports. 2017, 7(1), p. 14262
DC.title	Non-invasive detection of language-related prefrontal high gamma band activity with beamforming MEG
DC.creator	Hashimoto, Hiroaki
	Hasegawa, Yuka
	Araki, Toshihiko
	Sugata, Hisato
	Yanagisawa, Takufumi
	Yorifuji, Shiro
	Hirata, Masayuki
DC.publisher	Nature Publishing GroupHoundmillsBasingstoke, HampshireRG21 6XS
DC.language' scheme='DCTERMS.RFC1766	English
DC.type' scheme='DCTERMS.DCMIType	Text
DCTERMS.issued' scheme='DCTERMS.W3CDTF	2017-12-01
DC.identifier	https://doi.org/10.1038/s41598-017-14452-3
DC.description	Hashimoto H., Hasegawa Y., Araki T., et al. Non-invasive detection of language-related prefrontal high gamma band activity with beamforming MEG. Scientific Reports 7, 14262 (2017); https://doi.org/10.1038/s41598-017-14452-3.
DCTERMS.abstract	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.
DC.rights	This article is licensed under a Creative Commons Attribution 4.0 International License.
DC.format	95535
citation_title	Non-invasive detection of language-related prefrontal high gamma band activity with beamforming MEG
citation_author	Hashimoto, Hiroaki
	Hasegawa, Yuka
	Araki, Toshihiko
	Sugata, Hisato
	Yanagisawa, Takufumi
	Yorifuji, Shiro
	Hirata, Masayuki
citation_publisher	Nature Publishing GroupHoundmillsBasingstoke, HampshireRG21 6XS
citation_language	English
citation_date	2017-12-01
citation_journal_title	Scientific Reports
citation_volume	7
citation_issue	1
citation_firstpage	14262
citation_doi	https://doi.org/10.1038/s41598-017-14452-3
citation_public_url	https://hdl.handle.net/11094/95535

Non-invasive detection of language-related prefrontal high gamma band activity with beamforming MEG

Link to primary information

Item Information

Show details