Evidence map›Paper›PMID 31061774›Full record

ArticleBiomedical optics express2019

Quantitative measurements of cerebral blood flow with near-infrared spectroscopy.

Thao Pham, Kristen Tgavalekos, Angelo Sassaroli, Giles Blaney, Sergio Fantini

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

23 citing papers in PubMed, 36 citations in OpenAlex.

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  7. Cerebral Blood Flow in Orthostatic Intolerance.Journal of the American Heart Association · 2025
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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.

Thao PhamDepartment of Biomedical Engineering, Tufts University, 4 Colby Street, Medford, MA 02155, USA.
Kristen TgavalekosDepartment of Biomedical Engineering, Tufts University, 4 Colby Street, Medford, MA 02155, USA.
Angelo SassaroliDepartment of Biomedical Engineering, Tufts University, 4 Colby Street, Medford, MA 02155, USA.
Giles BlaneyDepartment of Biomedical Engineering, Tufts University, 4 Colby Street, Medford, MA 02155, USA.
Sergio FantiniDepartment of Biomedical Engineering, Tufts University, 4 Colby Street, Medford, MA 02155, USA.
Tufts University · US

Funding

Coherent hemodynamics spectroscopy for cerebral autoregulation and blood flowR01NS095334 · NINDS · TUFTS UNIVERSITY MEDFORD · PI FANTINI, SERGIO · 2016 to 2020
$2.6M
Non-invasive optical detection of cerebral hemodynamics and metabolic transientsR21EB020347 · NIBIB · TUFTS UNIVERSITY MEDFORD · PI FANTINI, SERGIO · 2016 to 2017
$401k
NIBIB NIH HHS R21 EB020347NINDS NIH HHS R01 NS095334
6 · The paper itself

Abstract

We propose a new near-infrared spectroscopy (NIRS) method for quantitative measurements of cerebral blood flow (CBF). Because this method uses concepts of coherent hemodynamics spectroscopy (CHS), we identify this new method with the acronym NIRS-CHS. We tested this method on the prefrontal cortex of six healthy human subjects during mean arterial pressure (MAP) transients induced by the rapid deflation of pneumatic thigh cuffs. A comparison of CBF dynamics measured with NIRS-CHS and with diffuse correlation spectroscopy (DCS) showed a good agreement for characteristic times of the CBF transient. We also report absolute measurements of baseline CBF with NIRS-CHS (69 ± 6 ml/100g/min over the six subjects). NIRS-CHS can provide more accurate measurements of CBF with respect to previously reported NIRS surrogates of CBF.

Identifiers

PMID31061774
PMCPMC6484993
OpenAlexW2924958021

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.