Evidence map›Paper›PMID 36596841›Full record

ArticleScientific reports2023

Initial study on quantitative electroencephalographic analysis of bioelectrical activity of the brain of children with fetal alcohol spectrum disorders (FASD) without epilepsy.

Waldemar Bauer, Katarzyna Anna Dylag, Adam Lysiak, Wiktoria Wieczorek-Stawinska, Mariusz Pelc, Miroslaw Szmajda, Radek Martinek, Jaroslaw Zygarlicki, Bożena Bańdo, Monika Stomal-Slowinska and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. 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
5.2field-weighted citation impact, top 5% 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

1 citing paper in PubMed, 9 citations in OpenAlex.

  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

11 authors at 3 institutions in 2 countries.

Waldemar Bauer *Department of Automatic Control and Robotics, AGH University of Science and Technology, 30-059, Kraków, Poland.
Katarzyna Anna Dylag *St. Louis Children Hospital in Krakow, 30-663, Kraków, Poland. katarzynaannadylag@gmail.com.
Adam Lysiak *Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, 45-758, Opole, Poland.
Wiktoria Wieczorek-Stawinska *St. Louis Children Hospital in Krakow, 30-663, Kraków, Poland.
Mariusz Pelc *Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, 45-758, Opole, Poland.
Miroslaw SzmajdaFaculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, 45-758, Opole, Poland.
Radek MartinekFaculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, 45-758, Opole, Poland.
Jaroslaw ZygarlickiFaculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, 45-758, Opole, Poland.
Bożena BańdoSt. Louis Children Hospital in Krakow, 30-663, Kraków, Poland.
Monika Stomal-SlowinskaDepartment of Neurosurgery, Vital Medic, 46-200, Kluczbork, Poland.
Aleksandra Kawala-Sterniuk *Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, 45-758, Opole, Poland. kawala84@gmail.com.
Opole University of Technology · PLAGH University of Krakow · PLUniversity of Greenwich · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fetal alcohol spectrum disorders (FASD) are spectrum of neurodevelopmental conditions associated with prenatal alcohol exposure. The FASD manifests mostly with facial dysmorphism, prenatal and postnatal growth retardation, and selected birth defects (including central nervous system defects). Unrecognized and untreated FASD leads to severe disability in adulthood. The diagnosis of FASD is based on clinical criteria and neither biomarkers nor imaging tests can be used in order to confirm the diagnosis. The quantitative electroencephalography (QEEG) is a type of EEG analysis, which involves the use of mathematical algorithms, and which has brought new possibilities of EEG signal evaluation, among the other things-the analysis of a specific frequency band. The main objective of this study was to identify characteristic patterns in QEEG among individuals affected with FASD. This study was of a pilot prospective study character with experimental group consisting of patients with newly diagnosed FASD and of the control group consisting of children with gastroenterological issues. The EEG recordings of both groups were obtained, than analyzed using a commercial QEEG module. As a results we were able to establish the dominance of the alpha rhythm over the beta rhythm in FASD-participants compared to those from the control group, mostly in frontal and temporal regions. Second important finding is an increased theta/beta ratio among patients with FASD. These findings are consistent with the current knowledge on the pathological processes resulting from the prenatal alcohol exposure. The obtained results and conclusions were promising, however, further research is necessary (and planned) in order to validate the use of QEEG tools in FASD diagnostics.

Indexed as

EpilepsyFetal Alcohol Spectrum DisordersPrenatal Exposure Delayed EffectsAdultBrainChildElectroencephalographyFemaleHumansPregnancyProspective Studies

Identifiers

PMID36596841
PMCPMC9810692
OpenAlexW4313528712

What OpenQuestion holds

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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.