Evidence map›Paper›PMID 38928528›Full record

ArticleBrain sciences2024

Differences in Electroencephalography Power Levels between Poor and Good Performance in Attentional Tasks.

Moemi Matsuo, Takashi Higuchi, Taiyo Ichibakase, Hikaru Suyama, Runa Takahara, Masatoshi Nakamura

Abstract read
In one paragraph

Article in Brain sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Moemi MatsuoFaculty of Rehabilitation Sciences, Nishikyushu University, Kanzaki 842-8585, Saga, Japan.ORCID 0000-0001-7458-1782
Takashi HiguchiDepartment of Physical Therapy, Osaka University of Human Sciences, Settsu 566-8501, Osaka, Japan.ORCID 0000-0003-2896-4939
Taiyo IchibakaseFaculty of Rehabilitation Sciences, Nishikyushu University, Kanzaki 842-8585, Saga, Japan.
Hikaru SuyamaFaculty of Rehabilitation Sciences, Nishikyushu University, Kanzaki 842-8585, Saga, Japan.
Runa TakaharaFaculty of Rehabilitation Sciences, Nishikyushu University, Kanzaki 842-8585, Saga, Japan.
Masatoshi NakamuraFaculty of Rehabilitation Sciences, Nishikyushu University, Kanzaki 842-8585, Saga, Japan.ORCID 0000-0002-8184-1121

Funding

JSPS KAKENHI Grant-in-Aid for Early-Career Scientists 22K17582
6 · The paper itself

Abstract

Decreased attentional function causes problems in daily life. However, a quick and easy evaluation method of attentional function has not yet been developed. Therefore, we are searching for a method to evaluate attentional function easily and quickly. This study aimed to collect basic data on the features of electroencephalography (EEG) during attention tasks to develop a new method for evaluating attentional function using EEG. Twenty healthy young adults participated; we examined cerebral activity during a Clinical Assessment for Attention using portable EEG devices. The Mann-Whitney U test was performed to assess differences in power levels of EEG during tasks between the low- and high-attention groups. The findings revealed that the high-attention group showed significantly higher EEG power levels in the δ wave of L-temporal and bilateral parietal lobes, as well as in the β and γ waves of the R-occipital lobe, than did the low-attention group during digit-forward, whereas the high-attention group showed significantly higher EEG power levels in the θ wave of R-frontal and the α wave of bilateral frontal lobes during digit-backward. Notably, lower θ, α, and β bands of the right hemisphere found in the low-attention group may be key elements to detect attentional deficit.

Indexed as

attentional functionbrain functionbrain injuryelectroencephalographyneuroimagingneuroscience

Identifiers

PMID38928528
PMCPMC11202263

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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.