Evidence map›Paper›PMID 37942143›Full record

ArticleFrontiers in neuroscience2023

Group analysis and classification of working memory task conditions using electroencephalogram cortical currents during an n-back task.

Shinnosuke Yoshiiwa, Hironobu Takano, Keisuke Ido, Mitsuo Kawato, Ken-Ichi Morishige

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

5 authors.

Shinnosuke YoshiiwaGraduate School of Engineering, Toyama Prefectural University, Imizu, Japan.
Hironobu TakanoDepartment of Intelligent Robotics, Toyama Prefectural University, Imizu, Japan.
Keisuke IdoCenter of Liberal Arts and Science, Toyama Prefectural University, Imizu, Japan.
Mitsuo KawatoDepartment of Intelligent Robotics, Toyama Prefectural University, Imizu, Japan.
Ken-Ichi MorishigeDepartment of Intelligent Robotics, Toyama Prefectural University, Imizu, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electroencephalographic studies of working memory have demonstrated cortical activity and oscillatory representations without clarifying how the stored information is retained in the brain. To address this gap, we measured scalp electroencephalography data, while participants performed a modified n-back working memory task. We calculated the current intensities from the estimated cortical currents by introducing a statistical map generated using Neurosynth as prior information. Group analysis of the cortical current level revealed that the current amplitudes and power spectra were significantly different between the modified n-back and delayed match-to-sample conditions. Additionally, we classified information on the working memory task conditions using the amplitudes and power spectra of the currents during the encoding and retention periods. Our results indicate that the representation of executive control over memory retention may be mediated through both persistent neural activity and oscillatory representations in the beta and gamma bands over multiple cortical regions that contribute to visual working memory functions.

Indexed as

artifactEEGhierarchical Bayesian estimationsparse logistic regressionworking memory

Identifiers

PMID37942143
PMCPMC10627866

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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.