Evidence map›Paper›PMID 29130779›Full record

ArticleJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2018

Experimentally constrained circuit model of cortical arteriole networks for understanding flow redistribution due to occlusion and neural activation.

Tejapratap Bollu, Nathan R Cornelius, John Sunwoo, Nozomi Nishimura, Chris B Schaffer, Peter C Doerschuk

Abstract read
In one paragraph

Article in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2018. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
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  4. 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.

Tejapratap Bollu1 Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Nathan R Cornelius1 Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
John Sunwoo1 Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Nozomi Nishimura1 Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.ORCID 0000-0003-4342-9416
Chris B Schaffer1 Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Peter C Doerschuk1 Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computations are described which estimate flows in all branches of the cortical surface arteriole network from two-photon excited fluorescence (2PEF) microscopy images which provide the network topology and, in selected branches red blood cell (RBC) speeds and lumen diameters. Validation is done by comparing the flow predicted by the model with experimentally measured flows and by comparing the predicted flow redistribution in the network due to single-vessel strokes with experimental observations. The model predicts that tissue is protected from RBC flow decreases caused by multiple occlusions of surface arterioles but not penetrating arterioles. The model can also be used to study flow rerouting due to vessel dilations and constrictions.

Indexed as

ArteriolesModels, TheoreticalAnimalsBrainCerebrovascular CirculationHumansArteriole occlusion and flowcircuit modelflow in cortical arteriole networksneural vascular couplingtwo-photon excited fluorescence microscopy

Identifiers

PMID29130779
PMCPMC5757444

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.