Evidence map›Paper›PMID 33941837›Full record

ArticleScientific reports2021

Neurovascular coupling (NVC) in newborns using processed EEG versus amplitude-EEG.

Yudhajit Das, Xinlong Wang, Srinivas Kota, Rong Zhang, Hanli Liu, Lina F Chalak

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.7field-weighted citation impact, top 6% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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  5. Article
  6. Review
  7. ECI biocommentary: Srinivas Kota.Pediatric research · 2024
    Article
  8. Prediction of outcome of hypoxic-ischemic encephalopathy in newborns undergoing therapeutic hypothermia using heart rate variability.Journal of perinatology : official journal of the California Perinatal Association · 2024
    Article
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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

6 authors at 2 institutions in 1 country.

Yudhajit DasDepartment of Bioengineering, University of Texas at Arlington, Arlington, TX, USA.
Xinlong WangDepartment of Bioengineering, University of Texas at Arlington, Arlington, TX, USA.
Srinivas KotaDepartment of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Rong ZhangDepartments of Neurology and Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Hanli LiuDepartment of Bioengineering, University of Texas at Arlington, Arlington, TX, USA.
Lina F ChalakDepartment of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, USA. Lina.chalak@utsouthwestern.edu.
The University of Texas at Arlington · USThe University of Texas Southwestern Medical Center · US

Funding

A Novel Wavelet Neurovascular Bundle for Real Time Detection of Injury in Neonatal EncephalopathyR01NS102617 · NINDS · UT SOUTHWESTERN MEDICAL CENTER · PI LINA F CHALAK · 2017 to 2026
$4.0M
NINDS NIH HHS R01NS102617
6 · The paper itself

Abstract

There is a critical need for development of real time physiological biomarkers for birth asphyxia that constitutes a major global public health burden. Our recent study (Scientific Reports, V10:9183, 2020) established a novel non-invasive neurovascular coupling (NVC) assessment in newborns using dynamic wavelet transform coherence (WTC) analysis irrespective of different aEEG algorithms. As an extended study, the current paper examines whether the variability in processed EEG and amplitude-EEG (aEEG) outputs would impact the determination of NVC in newborns with encephalopathy. Concurrent processed EEG tracings and regional near infrared spectroscopy (NIRS)-based cerebral tissue oxygen saturation (SctO2) readings during a period of twenty hours in their first day of life were selected and processed in this study. After bandpass-filtered in 2-15 Hz, rectified, and down-sampled at 0.21 Hz, the processed EEG tracings along with NIRS-SctO2 (0.21 Hz) were used to perform WTC analysis, followed by comparison of WTC-metrics between SctO2-processed EEG coherence and SctO2-aEEG coherence using Bland-Altman statistics. Our results demonstrated high and significant correlation (R2 = 0.96, p < 0.001) between NVC assessments by SctO2-processed EEG and SctO2-aEEG coherence, confirming that band-passed, rectified, and down-sampled processed EEG, or aEEG, can be paired with NIRS-SctO2 to assess NVC in newborns with encephalopathy. Findings indicate the feasibility of a simpler approach to NVC in neonates by using directly processed EEG, instead of aEEG.

Indexed as

Asphyxia NeonatorumBiomarkersBrain DiseasesElectroencephalographyHumansHypoxia-Ischemia, BrainInfant, NewbornNeurovascular CouplingWavelet AnalysisBiomarkers

Identifiers

PMID33941837
PMCPMC8093202
OpenAlexW3159184463

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.