Evidence map›Paper›PMID 30189283›Full record

ArticleJournal of neuroscience methods2018

Ensuring signal quality of cerebral near infrared spectroscopy during continuous longterm monitoring.

R B Govindan, A N Massaro, Adre du Plessis

Abstract read
In one paragraph

Article in Journal of neuroscience methods, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Observational
  3. Observational
  4. 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

3 authors.

R B GovindanDivision of Fetal and Transitional Medicine, Children's National Health System, 111 Michigan Ave, NW, Washington, DC', 20010, USA. Electronic address: rgovinda@childrensnational.org.
A N MassaroDivision of Fetal and Transitional Medicine, Children's National Health System, 111 Michigan Ave, NW, Washington, DC', 20010, USA; Division of Neonatology, Children's National Health System, 111 Michigan Ave, NW, Washington, DC, 20010, USA.
Adre du PlessisDivision of Fetal and Transitional Medicine, Children's National Health System, 111 Michigan Ave, NW, Washington, DC', 20010, USA.

Funding

NEUROIMAGING COREP30HD040677 · NICHD · CHILDREN'S RESEARCH INSTITUTE · PI VITTORIO GALLO, VITTORIO GALLO VITTORIO GALLO · 2001 to 2015
$15.9M
Clinical and Translational Science Institute at Children's NationalUL1TR000075 · NCATS · CHILDREN'S RESEARCH INSTITUTE · PI GUAY-WOODFORD, LISA MARIE · 2012 to 2015
$13.7M
Research_ProjectU54HD090257 · NICHD · CHILDREN'S RESEARCH INSTITUTE · PI GUAY-WOODFORD, LISA MARIE · 2016 to 2020
$5.9M
Clinical and Translational Science Institute at Children's NationalKL2RR031987 · NCRR · CHILDREN'S RESEARCH INSTITUTE · PI GUAY-WOODFORD, LISA MARIE · 2010 to 2011
$425k
NCATS NIH HHS UL1 TR000075NCRR NIH HHS KL2 RR031987NICHD NIH HHS P30 HD040677NICHD NIH HHS U54 HD090257
6 · The paper itself

Abstract

backgroundNear infrared spectroscopy (NIRS) derived hemoglobin difference (HbD: oxygenated [HbO2] - reduced hemoglobin [Hb]) and total hemoglobin (HbT: HbO2+Hb) have been used as surrogate measures of cerebral blood flow and volume, respectively. Statistically, a lack of HbD-blood pressure (BP) or negative HbT-BP association is regarded as a state of intact cerebral pressure autoregulation (CPA). In contrast, a co-variation of HbD/HbT and systemic blood pressure (BP) in the same direction is thought of as a failure of CPA. If the quality of one (NIRS/BP) or both signals is compromised, the reliability of the results may be adversely affected. In this work, we develop an analytic approach to assess the quality of the NIRS signals. NEW

methodGiven that cardiac pulses cause hemodynamic changes that are transmitted through the peripheral vasculature, cerebral NIRS signals should exhibit cyclical changes at the pulse frequency. Therefore, we propose that an association between HbD/HbT and electrocardiogram (EKG) signals would be an indicator of NIRS quality. We demonstrate the application of this approach with data collected from six newborns undergoing therapeutic hypothermia for neonatal encephalopathy.

resultsWe observed an intermittent lack of association between NIRS signals and EKG data over the course of several hours of continuous records, indicating a loss in the strength in NIRS signals. COMPARISON WITH EXISTING

methodExisting CPA characterization suffers from Type-II error which the current preprocessing approach can mitigate.

conclusionsThe proposed approach will allow for real-time assessment of NIRS signal quality that is essential for accurate CPA monitoring.

Indexed as

Signal Processing, Computer-AssistedCerebral CortexElectrocardiographyHumansInfant, NewbornMonitoring, PhysiologicReproducibility of ResultsSpectroscopy, Near-InfraredCerebral pressure autoregulationElectrocardiogramNear infrared spectroscopySpectral coherence

Identifiers

PMID30189283
PMCPMC6323003

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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.