Evidence map›Paper›PMID 40039996›Full record

ArticleAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference2024

EEG Spectral Power and Neurovascular Coupling as Early Predictors of Neurodevelopmental Outcome in Neonatal Hypoxic-Ischemic Encephalopathy.

Srinivas Kota, Yu-Lun Liu, Lynn Bitar, Lina Chalak

Abstract read
In one paragraph

Article in Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

4 authors.

Srinivas Kota
Yu-Lun Liu
Lynn Bitar
Lina Chalak

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

Hypoxic ischemic encephalopathy (HIE) remains one of the leading causes of morbidity and mortality in newborns. There is a strong need to predict their neurodevelopmental impairment (NDI) within early hours of life, tailoring treatment strategies accordingly. This study aims to explore the discriminatory capabilities of electroencephalogram (EEG) delta power (DP) and total power (TP), along with neurovascular coupling (NVC) to predict NDI. The study evaluates the relationships of single biomarkers (DP, TP, and NVC) with NDI using univariate logistic regression models. The predictive accuracy of single (DP, TP, and NVC) and combination of biomarkers (DP+NVC, TP+NVC) on NDI is further assessed through the receiver operating characteristic (ROC) curve, with the area under the ROC curve (AUC). Utilizing EEG and near infrared spectroscopy (NIRS) data from 35 newborns with mild and moderate HIE, we found that a one-unit increase in DP or TP significantly lowered the odds of NDI. The combination of DP or TP and NVC is most effective in distinguishing newborns who may develop NDI. These findings suggest that continuous multimodal real-time neuromonitoring could offer valuable insights into HIE severity, aiding in predicting brain injury and NDI.

Indexed as

ElectroencephalographyHypoxia-Ischemia, BrainNeurovascular CouplingFemaleHumansInfant, NewbornMaleROC CurveSpectroscopy, Near-Infrared

Identifiers

PMID40039996
PMCPMC11883166

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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.