Evidence map›Paper›PMID 26684362›Full record

ArticleJournal of neuroscience methods2016

A novel technique for quantitative bedside monitoring of neurovascular coupling.

R B Govindan, An Massaro, Taeun Chang, Gilbert Vezina, Adré du Plessis

Open access · greenAbstract read
In one paragraph

Article in Journal of neuroscience methods, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 23% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

R B GovindanDivision of Fetal and Transitional Medicine, Fetal Medicine Institute, Children's National Health System, 111 Michigan Ave NW, Washington, DC 20010, USA. Electronic address: rgovinda@childrensnational.org.
An MassaroDivision of Neonatology, Children's National, 111 Michigan Ave NW, Washington, DC 20010, USA.
Taeun ChangDivision of Neurology, Children's National, 111 Michigan Ave NW, Washington, DC 20010, USA.
Gilbert VezinaDivision of Diagnostic Imaging and Radiology, Children's National, 111 Michigan Ave NW, Washington, DC 20010, USA.
Adré du PlessisDivision of Fetal and Transitional Medicine, Fetal Medicine Institute, Children's National Health System, 111 Michigan Ave NW, Washington, DC 20010, USA.
Children's National · US

Funding

NEUROIMAGING COREP30HD040677 · NICHD · CHILDREN'S RESEARCH INSTITUTE · PI VITTORIO GALLO, VITTORIO GALLO VITTORIO GALLO · 2001 to 2015
$15.9M
CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR031988 · NCRR · CHILDREN'S RESEARCH INSTITUTE · PI JOSEPH, JILL G · 2010 to 2011
$8.2M
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
NCRR NIH HHS KL2 RR031987NCRR NIH HHS UL1 RR031988NCRR NIH HHS UL1RR031988NICHD NIH HHS P30 HD040677NICHD NIH HHS U54 HD090257
6 · The paper itself

Abstract

backgroundThere is no current method for continuous quantification of neurovascular coupling (NVC) in spontaneous brain activity. To fill this void, we propose a novel method to quantify NVC using electroencephalogram (EEG) and near-infrared spectroscopy (NIRS) data. NEW

methodSince EEG and NIRS measure physiologic changes occurring at different time scales, we bring them into a common dynamical time frame (DTF). To achieve this, we partition both signals into one-second epochs and calculate the standard deviation of the EEG and the average value of the NIRS for each epoch. We then quantify the NVC by calculating spectral coherence between the two signals in the DTF. The resulting NVC will have a low resolution with all of its content localized below 1Hz.

resultsAfter validating this framework on simulated data, we applied this approach to EEG and NIRS signals collected from four term infants undergoing therapeutic hypothermia for neonatal encephalopathy. Two of these infants showed no evidence of structural brain injury, and the other two died during the course of the therapy. The intact survivors showed emergence of NVC during hypothermia and/or after rewarming. In contrast, the two critically ill infants, who subsequently died, lacked this feature. COMPARISON WITH EXISTING

methodsExisting methods quantify NVC by averaging neurovascular signals based on certain events (for example seizure) in the EEG activity, whereas our approach quantifies coupling between spontaneous background EEG and NIRS.

conclusionReal-time continuous monitoring of NVC may be a promising physiologic signal for cerebral monitoring in future.

Indexed as

Models, NeurologicalComputer SimulationElectroencephalographyHumansHypothermia, InducedHypoxia-Ischemia, BrainInfant, NewbornInfant, Newborn, DiseasesNeurophysiological MonitoringNeurovascular CouplingReproducibility of ResultsSpectroscopy, Near-InfraredTime FactorsElectroencephalogramHypoxic ischemic encephalopathyNear-infrared spectroscopyNeurovascular couplingSpectral coherence

Identifiers

PMID26684362
PMCPMC7040446
OpenAlexW2193428144

What OpenQuestion holds

Textmetadata
LicenceTDM
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.