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Analysis of Nociceptive Information Encoded in the Temporal Discharge Patterns of Cutaneous C-Fibers

Overview of attention for article published in Frontiers in Computational Neuroscience, November 2016
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Title
Analysis of Nociceptive Information Encoded in the Temporal Discharge Patterns of Cutaneous C-Fibers
Published in
Frontiers in Computational Neuroscience, November 2016
DOI 10.3389/fncom.2016.00118
Pubmed ID
Authors

Kyeongwon Cho, Jun Ho Jang, Sung-Phil Kim, Sang Hoon Lee, Soon-Cheol Chung, In Young Kim, Dong Pyo Jang, Sung Jun Jung

Abstract

The generation of pain signals from primary afferent neurons is explained by a labeled-line code. However, this notion cannot apply in a simple way to cutaneous C-fibers, which carry signals from a variety of receptors that respond to various stimuli including agonist chemicals. To represent the discharge patterns of C-fibers according to different agonist chemicals, we have developed a quantitative approach using three consecutive spikes. By using this method, the generation of pain in response to chemical stimuli is shown to be dependent on the temporal aspect of the spike trains. Furthermore, under pathological conditions, gamma-aminobutyric acid resulted in pain behavior without change of spike number but with an altered discharge pattern. Our results suggest that information about the agonist chemicals may be encoded in specific temporal patterns of signals in C-fibers, and nociceptive sensation may be influenced by the extent of temporal summation originating from the temporal patterns.

X Demographics

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The data shown below were collected from the profiles of 4 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 33%
Student > Ph. D. Student 5 19%
Student > Postgraduate 2 7%
Student > Doctoral Student 1 4%
Student > Master 1 4%
Other 3 11%
Unknown 6 22%
Readers by discipline Count As %
Neuroscience 9 33%
Agricultural and Biological Sciences 3 11%
Medicine and Dentistry 3 11%
Biochemistry, Genetics and Molecular Biology 2 7%
Psychology 1 4%
Other 1 4%
Unknown 8 30%
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 03 December 2016.
All research outputs
#13,998,251
of 22,901,818 outputs
Outputs from Frontiers in Computational Neuroscience
#627
of 1,347 outputs
Outputs of similar age
#217,447
of 415,687 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#13
of 38 outputs
Altmetric has tracked 22,901,818 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 1,347 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. 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 415,687 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 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 60% of its contemporaries.