Evidence map›Paper›PMID 37258644›Full record

ArticleScientific reports2023

Portable, high speed blood flow measurements enabled by long wavelength, interferometric diffuse correlation spectroscopy (LW-iDCS).

Mitchell B Robinson, Marco Renna, Nisan Ozana, Alyssa N Martin, Nikola Otic, Stefan A Carp, Maria Angela Franceschini

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
6.0field-weighted citation impact, top 3% 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

25 citing papers in PubMed, 26 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

7 authors at 2 institutions in 2 countries.

Mitchell B RobinsonAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA. mitchell.robinson@mgh.harvard.edu.
Marco RennaAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.
Nisan OzanaAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.
Alyssa N MartinAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.
Nikola OticAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.
Stefan A CarpAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.
Maria Angela FranceschiniAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.
Athinoula A. Martinos Center for Biomedical Imaging · USMassachusetts General Hospital · US

Funding

Time-Gated Diffuse Correlation Spectroscopy for functional imaging of the human brainU01EB028660 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI FRANCESCHINI, MARIA ANGELA · 2019 to 2023
$6.4M
Neuroimaging Training ProgramT32EB001680 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BRUCE R ROSEN · 2003 to 2026
$3.8M
Highly parallel long wavelength heterodyne diffuse correlation spectroscopy for brain functional imagingR01EB033202 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI CARP, STEFAN ALEXANDRU · 2022 to 2022
$858k
Acousto-optic modulated interferometric DCS (iDCS) operating at 1064 nmR21EB028626 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI FRANCESCHINI, MARIA ANGELA · 2019 to 2020
$456k
Interferometric, acousto-optic modulated diffuse correlation spectroscopy @ 1064 nm (AOM-iDCS) toward higher sensitivity, non-invasive measurement of cerebral blood flowF31NS118753 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI ROBINSON, MITCHELL · 2020 to 2021
$92k
NIBIB NIH HHS R01 EB033202NIBIB NIH HHS R21 EB028626NIBIB NIH HHS T32 EB001680NIBIB NIH HHS U01 EB028660NINDS NIH HHS F31 NS118753
6 · The paper itself

Abstract

Diffuse correlation spectroscopy (DCS) is an optical technique that can be used to characterize blood flow in tissue. The measurement of cerebral hemodynamics has arisen as a promising use case for DCS, though traditional implementations of DCS exhibit suboptimal signal-to-noise ratio (SNR) and cerebral sensitivity to make robust measurements of cerebral blood flow in adults. In this work, we present long wavelength, interferometric DCS (LW-iDCS), which combines the use of a longer illumination wavelength (1064 nm), multi-speckle, and interferometric detection, to improve both cerebral sensitivity and SNR. Through direct comparison with long wavelength DCS based on superconducting nanowire single photon detectors, we demonstrate an approximate 5× improvement in SNR over a single channel of LW-DCS in the measured blood flow signals in human subjects. We show equivalence of extracted blood flow between LW-DCS and LW-iDCS, and demonstrate the feasibility of LW-iDCS measured at 100 Hz at a source-detector separation of 3.5 cm. This improvement in performance has the potential to enable robust measurement of cerebral hemodynamics and unlock novel use cases for diffuse correlation spectroscopy.

Indexed as

Diagnostic Techniques, CardiovascularHemodynamicsAdultHumansInterferometrySignal-To-Noise RatioSpectrum Analysis

Identifiers

PMID37258644
PMCPMC10232495
OpenAlexW4378901235

What Socratic 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 Socratic graph.