Evidence map›Paper›PMID 40800321›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2024

Test-retest reliability of EEG microstate metrics for evaluating noise reductions in simultaneous EEG-fMRI.

Toshikazu Kuroda, Reinmar J Kobler, Takeshi Ogawa, Mizuki Tsutsumi, Tomohiko Kishi, Motoaki Kawanabe

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Toshikazu KurodaCognitive Mechanisms Laboratories, Advanced Telecommunications Research Institute International, Hikaridai, Seika-cho, Soraku-gun, Kyoto, Japan.
Reinmar J KoblerCognitive Mechanisms Laboratories, Advanced Telecommunications Research Institute International, Hikaridai, Seika-cho, Soraku-gun, Kyoto, Japan.
Takeshi OgawaCognitive Mechanisms Laboratories, Advanced Telecommunications Research Institute International, Hikaridai, Seika-cho, Soraku-gun, Kyoto, Japan.
Mizuki TsutsumiCognitive Mechanisms Laboratories, Advanced Telecommunications Research Institute International, Hikaridai, Seika-cho, Soraku-gun, Kyoto, Japan.
Tomohiko KishiCognitive Mechanisms Laboratories, Advanced Telecommunications Research Institute International, Hikaridai, Seika-cho, Soraku-gun, Kyoto, Japan.
Motoaki KawanabeCognitive Mechanisms Laboratories, Advanced Telecommunications Research Institute International, Hikaridai, Seika-cho, Soraku-gun, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Simultaneous electroencephalography-functional magnetic resonance imaging (EEG-fMRI) has potential for elucidating brain activities but suffers from severe noise/artifacts in EEG. While several countermeasures have been developed, it remains difficult to evaluate noise reductions in the absence of ground truth in EEG. We introduce a new evaluation method which takes advantage of high test-retest reliability of EEG microstate metrics. We assumed, if the reliability is high for a pair of EEG recorded outside an MR scanner on two different days, then it should also be high for a pair of EEG recorded inside and outside the scanner on the same day if MR-induced noise is absent. Thus, noise should be removed in a way that the reliability increases. Accordingly, we obtained EEG both inside and outside the scanner on two different days. Using ICC as an index, we examined test-retest reliability for 1) a pair of EEG outside the scanner across the days, 2) a pair of EEG inside and outside the scanner on the same day, and 3) a pair of EEG inside the scanner across the days. MR-induced noise, BCG artifact in particular, was reduced with joint decorrelation with varying thresholds. We obtained moderately high reliability in all the three pairs (ICCs > 0.5), suggesting sufficient noise reductions. Taking these steps, the quality of EEG improved as assessed with its traces, power spectra density, and microstate templates in resting state as well as event-related potentials in a visual oddball task. We discuss advantages and limitations of this new evaluation method.

Indexed as

microstatemultimodalnoise reductionreliabilitysimultaneous EEG-fMRI

Identifiers

PMID40800321
PMCPMC12290594

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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.