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Compensatory Mechanisms Modulate the Neuronal Excitability in a Kainic Acid-Induced Epilepsy Mouse Model

Overview of attention for article published in Frontiers in Neural Circuits, June 2018
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Title
Compensatory Mechanisms Modulate the Neuronal Excitability in a Kainic Acid-Induced Epilepsy Mouse Model
Published in
Frontiers in Neural Circuits, June 2018
DOI 10.3389/fncir.2018.00048
Pubmed ID
Authors

Gaojie Pan, Zhicai Chen, Honghua Zheng, Yunwu Zhang, Huaxi Xu, Guojun Bu, Hui Zheng, Yanfang Li

Abstract

Epilepsy is one of the most common neurological disorders affecting millions of people. Due to the complicated and unclear mechanisms of epilepsy, still a significant proportion of epilepsy patients remain poorly controlled. Epilepsy is characterized by convulsive seizures that are caused by increased excitability. In this study, by using kainic acid (KA)-induced epilepsy mice, we investigated the neuronal activities and revealed the neuronal compensatory mechanisms after KA-induced toxic hyperexcitability. The results indicate that both phasic inhibition induced by enhanced inhibitory synaptic activity and tonic inhibition mediated by activated astrocytes participate in the compensatory mechanisms. Compensatory mechanisms were already found in various neuronal disorders and were considered important in protecting nervous system from toxic hyperexcitability. This study hopefully will provide valuable clues in understanding the complex neuronal mechanisms of epilepsy, and exploring potential clinical treatment of the disease.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 16%
Researcher 5 14%
Student > Bachelor 4 11%
Student > Ph. D. Student 4 11%
Other 3 8%
Other 7 19%
Unknown 8 22%
Readers by discipline Count As %
Neuroscience 10 27%
Biochemistry, Genetics and Molecular Biology 4 11%
Agricultural and Biological Sciences 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 3 8%
Immunology and Microbiology 2 5%
Other 5 14%
Unknown 10 27%
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 08 July 2018.
All research outputs
#17,982,872
of 23,094,276 outputs
Outputs from Frontiers in Neural Circuits
#856
of 1,222 outputs
Outputs of similar age
#238,083
of 329,246 outputs
Outputs of similar age from Frontiers in Neural Circuits
#22
of 27 outputs
Altmetric has tracked 23,094,276 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,222 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 22nd percentile – i.e., 22% 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 329,246 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.