Evidence map›Paper›PMID 29079768›Full record

ArticleScientific reports2017

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

Hiroaki Hashimoto, Yuka Hasegawa, Toshihiko Araki, Hisato Sugata, Takufumi Yanagisawa, Shiro Yorifuji, Masayuki Hirata

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Swallowing-related neural oscillation: an intracranial EEG study.Annals of clinical and translational neurology · 2021
    Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Hiroaki HashimotoOsaka University, Endowed Research Department of Clinical Neuroengineering, Global Center for Medical Engineering and Informatics, Suita, 565-0871, Japan.ORCID 0000-0003-4057-4466
Yuka HasegawaOsaka University Graduate School of Medicine, Division of Functional Diagnostic Science, Suita, 565-0871, Japan.
Toshihiko ArakiOsaka University Hospital, Department of Medical Technology, Suita, 565-0871, Japan.
Hisato SugataOita University, Faculty of Welfare and Health Science, Yufu, 879-5503, Japan.
Takufumi YanagisawaOsaka University, Endowed Research Department of Clinical Neuroengineering, Global Center for Medical Engineering and Informatics, Suita, 565-0871, Japan.
Shiro YorifujiOsaka University Graduate School of Medicine, Division of Functional Diagnostic Science, Suita, 565-0871, Japan.
Masayuki HirataOsaka University, Endowed Research Department of Clinical Neuroengineering, Global Center for Medical Engineering and Informatics, Suita, 565-0871, Japan. mhirata@cne-osaka.org.
The University of Osaka · JPNational Institute of Information and Communications Technology · JPOita University · JPOsaka University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Brain MappingLanguageMagnetoencephalographyAdultFemaleHumansMalePrefrontal CortexSignal-To-Noise RatioYoung Adult

Identifiers

PMID29079768
PMCPMC5660237
OpenAlexW2766585460

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.