Evidence map›Paper›PMID 30444084›Full record

ArticleJournal of biomedical optics2018

Depth dependence of coherent hemodynamics in the human head.

Kosar Khaksari, Giles Blaney, Angelo Sassaroli, Nishanth Krishnamurthy, Thao Pham, Sergio Fantini

Open access · goldAbstract read
In one paragraph

Article in Journal of biomedical optics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 16 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

6 authors at 1 institution in 1 country.

Kosar KhaksariTufts University, Department of Biomedical Engineering, Medford, Massachusetts, United States.
Giles BlaneyTufts University, Department of Biomedical Engineering, Medford, Massachusetts, United States.
Angelo SassaroliTufts University, Department of Biomedical Engineering, Medford, Massachusetts, United States.
Nishanth KrishnamurthyTufts University, Department of Biomedical Engineering, Medford, Massachusetts, United States.
Thao PhamTufts University, Department of Biomedical Engineering, Medford, Massachusetts, United States.
Sergio FantiniTufts University, Department of Biomedical Engineering, Medford, Massachusetts, United States.
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 report a near-infrared spectroscopy (NIRS) study of coherent hemodynamic oscillations measured on the human forehead at multiple source-detector distances (1 to 4 cm). The physiological source of the coherent hemodynamics is arterial blood pressure oscillations at a frequency of 0.1 Hz, induced by cyclic inflation (to a pressure of 200 mmHg) and deflation of two thigh cuffs wrapped around the subject's thighs. To interpret our results, we use a recently developed hemodynamic model and a phasor representation of the oscillations of oxyhemoglobin, deoxyhemoglobin, and total hemoglobin concentrations in the tissue (phasors O, D, and T, respectively). The increase in the phase angle between D and O at larger source-detector separations is assigned to greater flow versus volume contributions and to a stronger blood flow autoregulation in deeper tissue (brain cortex) with respect to superficial tissue (scalp and skull). The relatively constant phase lag of T versus arterial blood pressure oscillations at all source-detector distances was assigned to competing effects from stronger autoregulation and smaller arterial-to-venous contributions in deeper tissue with respect to superficial tissue. We demonstrate the application of a hemodynamic model to interpret coherent hemodynamics measured with NIRS and to assess the different nature of shallow (extracerebral) versus deep (cerebral) tissue hemodynamics.

Indexed as

HemodynamicsAdultBlood Flow VelocityBrainCerebrovascular CirculationFemaleForeheadHeadHealthy VolunteersHemoglobinsHumansLasersMaleMiddle AgedOscillometryOxygendeoxyhemoglobinHemoglobinsOxygenOxyhemoglobinsbrain perfusioncerebral autoregulationcoherent hemodynamicshemoglobin concentrationnear-infrared spectroscopyphasors

Identifiers

PMID30444084
PMCPMC6318717
OpenAlexW2901151172

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.