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Control of Absence Seizures by the Thalamic Feed-Forward Inhibition

Overview of attention for article published in Frontiers in Computational Neuroscience, April 2017
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  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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Title
Control of Absence Seizures by the Thalamic Feed-Forward Inhibition
Published in
Frontiers in Computational Neuroscience, April 2017
DOI 10.3389/fncom.2017.00031
Pubmed ID
Authors

Mingming Chen, Daqing Guo, Yang Xia, Dezhong Yao

Abstract

As a subtype of idiopathic generalized epilepsies, absence epilepsy is believed to be caused by pathological interactions within the corticothalamic (CT) system. Using a biophysical mean-field model of the CT system, we demonstrate here that the feed-forward inhibition (FFI) in thalamus, i.e., the pathway from the cerebral cortex (Ctx) to the thalamic reticular nucleus (TRN) and then to the specific relay nuclei (SRN) of thalamus that are also directly driven by the Ctx, may participate in controlling absence seizures. In particular, we show that increasing the excitatory Ctx-TRN coupling strength can significantly suppress typical electrical activities during absence seizures. Further, investigation demonstrates that the GABAA- and GABAB-mediated inhibitions in the TRN-SRN pathway perform combination roles in the regulation of absence seizures. Overall, these results may provide an insightful mechanistic understanding of how the thalamic FFI serves as an intrinsic regulator contributing to the control of absence seizures.

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The data shown below were collected from the profiles of 5 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 19%
Student > Bachelor 7 17%
Student > Master 6 14%
Professor > Associate Professor 4 10%
Student > Ph. D. Student 3 7%
Other 6 14%
Unknown 8 19%
Readers by discipline Count As %
Neuroscience 12 29%
Agricultural and Biological Sciences 5 12%
Medicine and Dentistry 4 10%
Immunology and Microbiology 2 5%
Computer Science 1 2%
Other 6 14%
Unknown 12 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 17 October 2022.
All research outputs
#13,353,841
of 23,543,207 outputs
Outputs from Frontiers in Computational Neuroscience
#492
of 1,379 outputs
Outputs of similar age
#149,753
of 310,995 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#18
of 37 outputs
Altmetric has tracked 23,543,207 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,379 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has gotten more attention than average, scoring higher than 62% of its peers.
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 310,995 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 37 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 54% of its contemporaries.