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

Overview of attention for article published in Frontiers in Computational Neuroscience, August 2016
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Title
Modeling of Cerebral Oxygen Transport Based on In vivo Microscopic Imaging of Microvascular Network Structure, Blood Flow, and Oxygenation
Published in
Frontiers in Computational Neuroscience, August 2016
DOI 10.3389/fncom.2016.00082
Pubmed ID
Authors

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

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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Japan 1 <1%
Unknown 172 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 48 27%
Researcher 24 14%
Student > Master 17 10%
Professor 9 5%
Student > Bachelor 7 4%
Other 24 14%
Unknown 46 26%
Readers by discipline Count As %
Engineering 51 29%
Neuroscience 20 11%
Physics and Astronomy 12 7%
Agricultural and Biological Sciences 10 6%
Medicine and Dentistry 8 5%
Other 24 14%
Unknown 50 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 August 2016.
All research outputs
#20,338,537
of 22,884,315 outputs
Outputs from Frontiers in Computational Neuroscience
#1,161
of 1,346 outputs
Outputs of similar age
#294,482
of 337,459 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#28
of 33 outputs
Altmetric has tracked 22,884,315 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,346 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.