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
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 50% |
Germany | 1 | 25% |
Switzerland | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Scientists | 1 | 25% |
Mendeley readers
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% |