Evidence map›Paper›PMID 36800392›Full record

ArticlePloS one2023

Noise characteristics in spaceflight multichannel EEG.

Patrique Fiedler, Jens Haueisen, Ana M Cebolla Alvarez, Guy Cheron, Pablo Cuesta, Fernando Maestú, Michael Funke

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Patrique FiedlerInstitute of Biomedical Engineering and Informatics, Technische Universität Ilmenau, Ilmenau, Germany.ORCID 0000-0001-9196-0717
Jens HaueisenInstitute of Biomedical Engineering and Informatics, Technische Universität Ilmenau, Ilmenau, Germany.
Ana M Cebolla AlvarezUniversité Libre de Bruxelles, Brussels, Belgium.
Guy CheronUniversité Libre de Bruxelles, Brussels, Belgium.ORCID 0000-0003-0734-583X
Pablo CuestaComplutense University of Madrid, Madrid, Spain.
Fernando MaestúComplutense University of Madrid, Madrid, Spain.
Michael FunkeMcGovern Medical School, University of Texas, Houston, Texas, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cognitive performance of the crew has a major impact on mission safety and success in space flight. Monitoring of cognitive performance during long-duration space flight therefore is of paramount importance and can be performed using compact state-of-the-art mobile EEG. However, signal quality of EEG may be compromised due to the vicinity to various electronic devices and constant movements. We compare noise characteristics between in-flight extraterrestrial microgravity and ground-level terrestrial electroencephalography (EEG) recordings. EEG data recordings from either aboard International Space Station (ISS) or on earth's surface, utilizing three EEG amplifiers and two electrode types, were compared. In-flight recordings showed noise level of an order of magnitude lower when compared to pre- and post-flight ground-level recordings with the same EEG system. Noise levels between ground-level recordings with actively shielded cables, and in-flight recordings without shielded cables, were similar. Furthermore, noise level characteristics of shielded ground-level EEG recordings, using wet and dry electrodes, and in-flight EEG recordings were similar. Actively shielded mobile dry EEG systems will support neuroscientific research and neurocognitive monitoring during spaceflight, especially during long-duration space missions.

Indexed as

Space FlightWeightlessnessElectrodesElectroencephalography

Identifiers

PMID36800392
PMCPMC9937484

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.