Evidence map›Paper›PMID 32514166›Full record

ArticleScientific reports2020

Rigor of Neurovascular Coupling (NVC) Assessment in Newborns Using Different Amplitude EEG Algorithms.

Yudhajit Das, Hanli Liu, Fenghua Tian, Srinivas Kota, Rong Zhang, Lina F Chalak

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 12 citations in OpenAlex.

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  6. EEG Spectral Power and Neurovascular Coupling as Early Predictors of Neurodevelopmental Outcome in Neonatal Hypoxic-Ischemic Encephalopathy.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024
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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 Southwestern Medical Center, Dallas, TX, USA.
Hanli LiuDepartment of Bioengineering, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Fenghua TianDepartment of Bioengineering, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Srinivas KotaDepartment of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Rong ZhangDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Lina F ChalakDepartment of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, USA. Lina.chalak@utsouthwestern.edu.
The University of Texas Southwestern Medical Center · USNeurological Surgery · 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 R01 NS102617
6 · The paper itself

Abstract

Birth asphyxia constitutes a major global public health burden for millions of infants with a critical need for real time physiological biomarkers. This proof of concept study targets the translational rigor of such biomarkers and aims to examine whether the variability in the amplitude-integrated EEG (aEEG) outputs impact the determination of neurovascular coupling (NVC) in newborns with encephalopathy. A convenience sample with neonatal asphyxia were monitored for twenty hours in the first day of life with EEG and near infrared spectroscopy (NIRS)-based cerebral tissue oxygen saturation (SctO2). NVC between aEEG and NIRS-SctO2 was assessed using wavelet transform coherence (WTC) analysis, specifically by the wavelet total pixel number of significant coherences within 95% confidence interval. The raw EEG was converted to aEEG using three different methods: Method (M1) derives from the algorithm by Zhang and Ding. Method (M2) uses a Neonatal EEG Analysis Toolbox (WU-NEAT). Method (M3) extracts output directly from a commercial platform with an undisclosed algorithm. Our results demonstrate excellent agreement with Bland Altman comparisons for WTC-based NVC irrespective of the algorithms used, despite significant heterogeneities in the aEEG tracings produced by three algorithms. Our findings confirm the robustness of NVC wavelet analysis in Neonatal Encephalopathy related to HIE.

Indexed as

AlgorithmsAsphyxia NeonatorumElectroencephalographyHumansHypothermia, InducedHypoxia-Ischemia, BrainInfant, NewbornInfant, Newborn, DiseasesMonitoring, PhysiologicNeurologic ExaminationNeurovascular CouplingSpectroscopy, Near-InfraredWavelet Analysis

Identifiers

PMID32514166
PMCPMC7280505
OpenAlexW3033773555

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.