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Molecular mechanism of circadian rhythmicity of seizures in temporal lobe epilepsy

Overview of attention for article published in Frontiers in Cellular Neuroscience, January 2012
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Title
Molecular mechanism of circadian rhythmicity of seizures in temporal lobe epilepsy
Published in
Frontiers in Cellular Neuroscience, January 2012
DOI 10.3389/fncel.2012.00055
Pubmed ID
Authors

Chang-Hoon Cho

Abstract

The circadian pattern of seizures in people with epilepsy (PWE) was first described two millennia ago. However, these phenomena have not received enough scientific attention, possibly due to the lack of promising hypotheses to address the interaction between seizure generation and a physiological clock. To propose testable hypotheses at the molecular level, interactions between circadian rhythm, especially transcription factors governing clock genes expression, and the mTOR (mammalian target of rapamycin) signaling pathway, the major signaling pathway in epilepsy, will be reviewed. Then, two closely related hypotheses will be proposed: (1) Rhythmic activity of hyperactivated mTOR signaling molecules results in rhythmic increases in neuronal excitability. These rhythmic increases in excitability periodically exceed the seizure threshold, displaying the behavioral seizures. (2) Oscillation of neuronal excitability in SCN modulates the rhythmic excitability in the hippocampus through subiculum via long-range projections. Findings from published results, their implications, and proposals for new experiments will be discussed. These attempts may ignite further discussion on what we still need to learn about the rhythmicity of spontaneous seizures.

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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 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 2%
Brazil 1 <1%
United Kingdom 1 <1%
Romania 1 <1%
United States 1 <1%
Unknown 99 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 22%
Student > Master 16 15%
Researcher 12 11%
Professor > Associate Professor 10 10%
Student > Bachelor 9 9%
Other 18 17%
Unknown 17 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 21%
Medicine and Dentistry 20 19%
Neuroscience 14 13%
Biochemistry, Genetics and Molecular Biology 10 10%
Engineering 3 3%
Other 11 10%
Unknown 25 24%
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 23 November 2012.
All research outputs
#17,671,894
of 22,687,320 outputs
Outputs from Frontiers in Cellular Neuroscience
#2,907
of 4,205 outputs
Outputs of similar age
#191,346
of 244,125 outputs
Outputs of similar age from Frontiers in Cellular Neuroscience
#23
of 42 outputs
Altmetric has tracked 22,687,320 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 4,205 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 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.