Evidence map›Paper›PMID 34715603›Full record

ArticleNeuroImage. Clinical2021

Wavelet-based neurovascular coupling can predict brain abnormalities in neonatal encephalopathy.

Yudhajit Das, Rachel L Leon, Hanli Liu, Srinivas Kota, Yulun Liu, Xinlong Wang, Rong Zhang, Lina F Chalak

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 24 citations in OpenAlex.

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  9. 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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  14. Alpha-adrenergic receptor activation after fetal hypoxia-ischaemia suppresses transient epileptiform activity and limits loss of oligodendrocytes and hippocampal neurons.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023
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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

8 authors at 4 institutions in 1 country.

Yudhajit DasDepartment of Bioengineering, University of Texas at Arlington, Arlington, TX, USA.
Rachel L LeonDepartment of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Hanli LiuDepartment of Bioengineering, University of Texas at Arlington, Arlington, TX, USA.
Srinivas KotaDepartment of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Yulun LiuDepartment of Population and Datasciences, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Xinlong WangDepartment of Bioengineering, University of Texas at Arlington, Arlington, TX, USA.
Rong ZhangDepartments of Neurology and 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. Electronic address: Lina.chalak@utsouthwestern.edu.
The University of Texas at Arlington · USThe University of Texas Southwestern Medical Center · USNeurological Surgery · USSouthwestern 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 R01 NS102617
6 · The paper itself

Abstract

backgroundHypoxic-ischemic encephalopathy (HIE) is a leading cause of morbidity and mortality in neonates, but quantitative methods to predict outcomes early in their course of illness remain elusive. Real-time physiologic biomarkers of neurologic injury are needed in order to predict which neonates will benefit from therapies. Neurovascular coupling (NVC) describes the correlation of neural activity with cerebral blood flow, and the degree of impairment could predict those at risk for poor outcomes.

objectiveTo determine if neurovascular coupling (NVC) calculated in the first 24-hours of life based on wavelet transform coherence analysis (WTC) of near-infrared spectroscopy (NIRS) and amplitude-integrated electroencephalography (aEEG) can predict abnormal brain MRI in neonatal HIE.

methodsWTC analysis was performed between dynamic oscillations of simultaneously recorded aEEG and cerebral tissue oxygen saturation (SctO2) signals for the first 24 h after birth. The squared cross-wavelet coherence, R

resultThis prospective study recruited a total of 36 neonates with HIE. A total of 10 had an abnormal brain MRI while 26 had normal MRI. The analysis showed that the SctO2-aEEG coherence between the group with normal and abnormal MRI were significantly different (p = 0.0007) in a very low-frequency (VLF) range of 0.06-0.2 mHz. Using receiver operating characteristic (ROC) curves, the use of WTC-analysis of NVC had an area under the curve (AUC) of 0.808, and with a cutoff of 10% NVC. Sensitivity was 69%, specificity was 90%, positive predictive value (PPV) was 94%, and negative predictive value (NPV) was 52% for predicting brain injury on MRI. This was superior to the clinical Total Sarnat score (TSS) where AUC was 0.442 with sensitivity 61.5%, specificity 30%, PPV 75%, and NPV 31%.

conclusionNVC is a promising neurophysiological biomarker in neonates with HIE, and in our prospective cohort was superior to the clinical Total Sarnat score for prediction of abnormal brain MRI.

Indexed as

Hypoxia-Ischemia, BrainNeurovascular CouplingBrainElectroencephalographyHumansInfant, NewbornOxygen SaturationProspective StudiesAmplitude-integrated EEGHypoxic-ischemic encephalopathyNear infrared spectroscopyNeonatal EEG analysisNeurovascular couplingWavelet coherence analysis

Identifiers

PMID34715603
PMCPMC8564674
OpenAlexW3206638180

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.