Evidence map›Paper›PMID 27630556›Full record

ReviewFrontiers in computational neuroscience2016

Modeling of Cerebral Oxygen Transport Based on In vivo Microscopic Imaging of Microvascular Network Structure, Blood Flow, and Oxygenation.

Louis Gagnon, Amy F Smith, David A Boas, Anna Devor, Timothy W Secomb, Sava Sakadžić

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in computational neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
8.3field-weighted citation impact, top 2% 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

44 citing papers in PubMed, 78 citations in OpenAlex.

  1. Trial
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  5. Out-of-focus signal rejection forBiomedical optics express · 2025
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  12. Hyperspectral wide-field-of-view imaging to study dynamic microcirculatory changes during hypoxia.American journal of physiology. Heart and circulatory physiology · 2022
    Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Control of low flow regions in the cortical vasculature determines optimal arterio-venous ratios.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
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  20. Review
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 3 institutions in 2 countries.

Louis GagnonOptics Division, Department of Radiology, MHG/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School Charlestown, MA, USA.
Amy F SmithInstitut de Mécanique des Fluides de ToulouseToulouse, France; Department of Physiology, University of ArizonaTucson, AZ, USA.
David A BoasOptics Division, Department of Radiology, MHG/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School Charlestown, MA, USA.
Anna DevorOptics Division, Department of Radiology, MHG/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical SchoolCharlestown, MA, USA; Departments of Neurosciences and Radiology, University of California, San DiegoLa Jolla, CA, USA.
Timothy W SecombDepartment of Physiology, University of Arizona Tucson, AZ, USA.
Sava SakadžićOptics Division, Department of Radiology, MHG/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School Charlestown, MA, USA.
Harvard University · USInstitut de Mécanique des Fluides de Toulouse · FRUniversity of Arizona · US

Funding

Spatiotemporal Brain Imaging: Microscopic &System LevelR01EB000790 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DALE, ANDERS M · 2002 to 2015
$15.3M
Targeting ROCK for Neurogliovascular Plasticity & Remodeling After StrokeP01NS055104 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI LO, ENG H. · 2007 to 2018
$13.3M
Microscopic Imaging of Tissue Oxygen Delivery Altered by Microvascular ChangesR01EB021018 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI BOAS, DAVID A · 2015 to 2018
$2.9M
Neuronal, glial and BOLD fMRI signals: From BOLD to 2-photon microscopyR01NS057198 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DEVOR, ANNA · 2009 to 2017
$2.6M
Two-Photon Microscopy of Oxygen Consumption in the BrainR01NS091230 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI SAKADZIC, SAVA · 2015 to 2019
$2.4M
Flow regulation and Oxygen transpot in microcirculationR01HL070657 · NHLBI · UNIVERSITY OF ARIZONA · PI SECOMB, TIMOTHY W. · 2002 to 2014
$2.0M
Dendritic upconverting nanoparticles for multiphoton imaging and sensingR01EB018464 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI VINOGRADOV, SERGEI · 2014 to 2017
$1.5M
Enabling widespread use of high resolution imaging of oxygen in the brainR24NS092986 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI BOAS, DAVID A, VINOGRADOV, SERGEI · 2015 to 2018
$1.2M
NHLBI NIH HHS R01 HL070657NIBIB NIH HHS R01 EB000790NIBIB NIH HHS R01 EB018464NIBIB NIH HHS R01 EB021018NINDS NIH HHS P01 NS055104NINDS NIH HHS R01 NS057198NINDS NIH HHS R01 NS091230NINDS NIH HHS R24 NS092986
6 · The paper itself

Abstract

Oxygen is delivered to brain tissue by a dense network of microvessels, which actively control cerebral blood flow (CBF) through vasodilation and contraction in response to changing levels of neural activity. Understanding these network-level processes is immediately relevant for (1) interpretation of functional Magnetic Resonance Imaging (fMRI) signals, and (2) investigation of neurological diseases in which a deterioration of neurovascular and neuro-metabolic physiology contributes to motor and cognitive decline. Experimental data on the structure, flow and oxygen levels of microvascular networks are needed, together with theoretical methods to integrate this information and predict physiologically relevant properties that are not directly measurable. Recent progress in optical imaging technologies for high-resolution in vivo measurement of the cerebral microvascular architecture, blood flow, and oxygenation enables construction of detailed computational models of cerebral hemodynamics and oxygen transport based on realistic three-dimensional microvascular networks. In this article, we review state-of-the-art optical microscopy technologies for quantitative in vivo imaging of cerebral microvascular structure, blood flow and oxygenation, and theoretical methods that utilize such data to generate spatially resolved models for blood flow and oxygen transport. These "bottom-up" models are essential for the understanding of the processes governing brain oxygenation in normal and disease states and for eventual translation of the lessons learned from animal studies to humans.

Indexed as

brain imaging methodscerebral blood flow (CBF)cerebral blood flow measurementcerebrovascular circulationmodeling and simulations

Identifiers

PMID27630556
PMCPMC5006088
OpenAlexW2508489690

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.