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A Computational Model to Investigate Astrocytic Glutamate Uptake Influence on Synaptic Transmission and Neuronal Spiking

Overview of attention for article published in Frontiers in Computational Neuroscience, January 2012
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Title
A Computational Model to Investigate Astrocytic Glutamate Uptake Influence on Synaptic Transmission and Neuronal Spiking
Published in
Frontiers in Computational Neuroscience, January 2012
DOI 10.3389/fncom.2012.00070
Pubmed ID
Authors

Sushmita L. Allam, Viviane S. Ghaderi, Jean-Marie C. Bouteiller, Arnaud Legendre, Nicolas Ambert, Renaud Greget, Serge Bischoff, Michel Baudry, Theodore W. Berger

Abstract

Over the past decades, our view of astrocytes has switched from passive support cells to active processing elements in the brain. The current view is that astrocytes shape neuronal communication and also play an important role in many neurodegenerative diseases. Despite the growing awareness of the importance of astrocytes, the exact mechanisms underlying neuron-astrocyte communication and the physiological consequences of astrocytic-neuronal interactions remain largely unclear. In this work, we define a modeling framework that will permit to address unanswered questions regarding the role of astrocytes. Our computational model of a detailed glutamatergic synapse facilitates the analysis of neural system responses to various stimuli and conditions that are otherwise difficult to obtain experimentally, in particular the readouts at the sub-cellular level. In this paper, we extend a detailed glutamatergic synaptic model, to include astrocytic glutamate transporters. We demonstrate how these glial transporters, responsible for the majority of glutamate uptake, modulate synaptic transmission mediated by ionotropic AMPA and NMDA receptors at glutamatergic synapses. Furthermore, we investigate how these local signaling effects at the synaptic level are translated into varying spatio-temporal patterns of neuron firing. Paired pulse stimulation results reveal that the effect of astrocytic glutamate uptake is more apparent when the input inter-spike interval is sufficiently long to allow the receptors to recover from desensitization. These results suggest an important functional role of astrocytes in spike timing dependent processes and demand further investigation of the molecular basis of certain neurological diseases specifically related to alterations in astrocytic glutamate uptake, such as epilepsy.

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Japan 2 2%
United Kingdom 1 1%
Colombia 1 1%
France 1 1%
Spain 1 1%
Unknown 79 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 32%
Student > Master 14 16%
Researcher 10 11%
Student > Bachelor 9 10%
Professor 5 6%
Other 11 13%
Unknown 10 11%
Readers by discipline Count As %
Neuroscience 20 23%
Agricultural and Biological Sciences 17 20%
Engineering 14 16%
Computer Science 7 8%
Medicine and Dentistry 5 6%
Other 11 13%
Unknown 13 15%
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 28 May 2013.
All research outputs
#13,872,372
of 22,679,690 outputs
Outputs from Frontiers in Computational Neuroscience
#626
of 1,336 outputs
Outputs of similar age
#151,733
of 244,102 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#31
of 69 outputs
Altmetric has tracked 22,679,690 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,336 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 49th percentile – i.e., 49% 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 244,102 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.