Evidence map›Paper›PMID 36699625›Full record

ArticleNeurophotonics2023

Cerebrovascular impedance estimation with near-infrared and diffuse correlation spectroscopy.

Jason Yang, Alexander Ruesch, Jana M Kainerstorfer

Open access · goldAbstract read
In one paragraph

Article in Neurophotonics, 2023. 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
1.4field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 6 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

3 authors at 1 institution in 1 country.

Jason YangCarnegie Mellon University, Department of Biomedical Engineering, Pittsburgh, Pennsylvania, United States.ORCID https://orcid.org/0000-0002-9970-3333
Alexander RueschCarnegie Mellon University, Department of Biomedical Engineering, Pittsburgh, Pennsylvania, United States.
Jana M KainerstorferCarnegie Mellon University, Department of Biomedical Engineering, Pittsburgh, Pennsylvania, United States.ORCID https://orcid.org/0000-0002-9481-8377
Carnegie Mellon University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: Cerebrovascular impedance (CVI) is related to cerebral autoregulation (CA), which is the mechanism of the brain to maintain near-constant cerebral blood flow (CBF) despite changes in cerebral perfusion pressure (CPP). Changes in blood vessel impedance enable the stabilization of blood flow. Due to the interplay between CVI and CA, assessment of CVI may enable quantification of CA and may serve as a biomarker for cerebral health. Aim: We developed a method to quantify CVI based on a combination of diffuse correlation spectroscopy (DCS) and continuous wave (CW) near-infrared spectroscopy (NIRS). Data on healthy human volunteers were used to validate the method. Approach: A combined high-speed DCS-NIRS system was developed, allowing for simultaneous, noninvasive blood flow, and volume measurements in the same tissue compartment. Blood volume was used as a surrogate measurement for blood pressure and CVI was calculated as the spectral ratio of blood volume and blood flow changes. This technique was validated on six healthy human volunteers undergoing postural changes to elicit CVI changes. Results: Averaged across the six subjects, a decrease in CVI was found for a head of bed (HOB) tilting of Conclusions: We developed a combined DCS-NIRS system, which measures CBF and volume changes, which we demonstrate can be used to measure CVI. Using CVI as a metric of CA may be beneficial for assessing cerebral health, especially in patients where CPP is altered.

Indexed as

cerebral autoregulationcerebrovascular impedancecerebrovascular resistancediffuse correlation spectroscopynear infrared spectroscopypulsatile hemodynamics

Identifiers

PMID36699625
PMCPMC9868286
OpenAlexW4317718057

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.