Evidence map›Paper›PMID 32492696›Full record

ArticlePediatric research2021

Regional heterogeneity of cerebral hemodynamics in mild neonatal encephalopathy measured with multichannel near-infrared spectroscopy.

Fenghua Tian, Pollieanna Sepulveda, Srinivas Kota, Yulun Liu, Yudhajit Das, Hanli Liu, Rong Zhang, Lina Chalak

Abstract read
PubMed Publisher
In one paragraph

Article in Pediatric research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Cerebral autoregulation in pediatric and neonatal intensive care: A scoping review.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
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 3 institutions in 1 country.

Fenghua TianDepartment of Bioengineering, University of Texas at Arlington, Arlington, TX, USA.
Pollieanna SepulvedaDepartment of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Srinivas KotaDepartments of Internal Medicine and Neurosciences, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Yulun LiuDepartments of Internal Medicine and Neurosciences, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Yudhajit DasDepartment of Bioengineering, University of Texas at Arlington, Arlington, TX, USA.
Hanli LiuDepartment of Bioengineering, University of Texas at Arlington, Arlington, TX, USA.
Rong ZhangDepartments of Internal Medicine and Neurosciences, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Lina 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 · USInstitute for Exercise and Environmental Medicine · 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
6 · The paper itself

Abstract

backgroundNeuromonitoring at the bedside is the key to understand the pathophysiological mechanisms of brain injury associated with neonatal encephalopathy. The current practice is to monitor the forehead using a noninvasive cerebral oximetry-it remains unknown to what extent cerebral hemodynamics in other brain regions is different to the frontal region.

methodA multichannel near-infrared spectroscopy (NIRS) system was used to monitor neonates (n = 14) with fetal acidosis and mild neonatal encephalopathy at four brain regions (the frontal, posterior, left temporal, and right temporal lobes). The data were compared to delineate the regional difference in (1) cerebral hemodynamics and (2) pressure autoregulation. For both analyses, wavelet transform coherence was applied.

resultsWe observed frontal-posterior heterogeneity as indicated by significantly lower coherence between these two regions (p = 0.02). Furthermore, areas with regional magnetic resonance imaging (MRI)-detected lesions showed greater hemodynamic variations compared to non-affected areas (p = 0.03), while cerebral autoregulation was not affected and showed no difference.

conclusionCerebral hemodynamics in mild neonatal encephalopathy is heterogeneous across different brain regions, while cerebral autoregulation remains intact. These findings indicate the robustness of the wavelet measure of cerebral autoregulation in this population, but need to be further investigated in the presence of severe injury. IMPACT: This proof-of-concept study is the first to investigate the regional difference of cerebral hemodynamics and autoregulation in mild neonatal encephalopathy. Study findings confirm that brain functions are complex in the developing neonatal brain and that cerebral hemodynamics are region specific in newborns with frontal-posterior heterogeneity among brain regions probed by multichannel NIRS. Regional MRI lesions were associated with differences across NIRS regional channels among the affected side. Cerebral autoregulation with multichannel NIRS is not affected by regional MRI abnormalities.

Indexed as

HemodynamicsBrainBrain InjuriesCerebrovascular CirculationFemaleHomeostasisHumansHypoxia-Ischemia, BrainInfant, NewbornMagnetic Resonance ImagingMaleMonitoring, PhysiologicOximetryOxygenSpectroscopy, Near-InfraredOxygen

Identifiers

PMID32492696
OpenAlexW3029036838

What OpenQuestion holds

Textmetadata
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.