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A Computational Model of Neuro-Glio-Vascular Loop Interactions

Overview of attention for article published in PLOS ONE, November 2012
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Title
A Computational Model of Neuro-Glio-Vascular Loop Interactions
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0048802
Pubmed ID
Authors

Bankim Subhash Chander, V. Srinivasa Chakravarthy

Abstract

We present a computational, biophysical model of neuron-astrocyte-vessel interaction. Unlike other cells, neurons convey "hunger" signals to the vascular network via an intervening layer of glial cells (astrocytes); vessels dilate and release glucose which fuels neuronal firing. Existing computational models focus on only parts of this loop (neuron→astrocyte→vessel→neuron), whereas the proposed model describes the entire loop. Neuronal firing causes release of a neurotransmitter like glutamate which triggers release of vasodilator by astrocytes via a cascade of biochemical events. Vasodilators released from astrocytic endfeet cause blood vessels to dilate and release glucose into the interstitium, part of which is taken up by the astrocyticendfeet. Glucose is converted into lactate in the astrocyte and transported into the neuron. Glucose from the interstitium and lactate (produced from glucose) influx from astrocyte are converted into ATP in the neuron. Neuronal ATP is used to drive the Na(+)/K(+)ATPase pumps, which maintain ionic gradients necessary for neuronal firing. When placed in the metabolic loop, the neuron exhibits sustained firing only when the stimulation current is more than a minimum threshold. For various combinations of initial neuronal [ATP] and external current, the neuron exhibits a variety of firing patterns including sustained firing, firing after an initial pause, burst firing etc. Neurovascular interactions under conditions of constricted vessels are also studied. Most models of cerebral circulation describe neurovascular interactions exclusively in the "forward" neuron→vessel direction. The proposed model indicates possibility of "reverse" influence also, with vasomotion rhythms influencing neural firing patterns. Another idea that emerges out of the proposed work is that brain's computations may be more comprehensively understood in terms of neuro-glial-vascular dynamics and not in terms of neural firing alone.

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Mendeley readers

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The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 2%
Colombia 1 2%
Unknown 60 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 27%
Researcher 14 23%
Student > Master 12 19%
Other 3 5%
Professor 2 3%
Other 4 6%
Unknown 10 16%
Readers by discipline Count As %
Engineering 16 26%
Neuroscience 12 19%
Agricultural and Biological Sciences 10 16%
Medicine and Dentistry 4 6%
Computer Science 3 5%
Other 4 6%
Unknown 13 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 09 July 2014.
All research outputs
#14,168,910
of 22,708,120 outputs
Outputs from PLOS ONE
#115,897
of 193,897 outputs
Outputs of similar age
#164,722
of 275,886 outputs
Outputs of similar age from PLOS ONE
#2,474
of 4,681 outputs
Altmetric has tracked 22,708,120 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,897 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 275,886 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,681 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.