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

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dc.contributor.authorCho, Kyeongwon-
dc.contributor.authorJang, Jun Ho-
dc.contributor.authorKim, Sung-Phil-
dc.contributor.authorLee, Sang Hoon-
dc.contributor.authorChung, Soon-Cheol-
dc.contributor.authorKim, In Young-
dc.contributor.authorJang, Dong Pyo-
dc.contributor.authorJung, Sung Jun-
dc.date.accessioned2022-07-15T05:08:45Z-
dc.date.available2022-07-15T05:08:45Z-
dc.date.created2021-05-12-
dc.date.issued2016-11-
dc.identifier.issn1662-5188-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/153656-
dc.description.abstractThe 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.-
dc.language영어-
dc.language.isoen-
dc.publisherFRONTIERS MEDIA SA-
dc.titleAnalysis of Nociceptive Information Encoded in the Temporal Discharge Patterns of Cutaneous C-Fibers-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, In Young-
dc.contributor.affiliatedAuthorJang, Dong Pyo-
dc.contributor.affiliatedAuthorJung, Sung Jun-
dc.identifier.doi10.3389/fncom.2016.00118-
dc.identifier.scopusid2-s2.0-84998538578-
dc.identifier.wosid000388222900001-
dc.identifier.bibliographicCitationFRONTIERS IN COMPUTATIONAL NEUROSCIENCE, v.10, pp.1 - 12-
dc.relation.isPartOfFRONTIERS IN COMPUTATIONAL NEUROSCIENCE-
dc.citation.titleFRONTIERS IN COMPUTATIONAL NEUROSCIENCE-
dc.citation.volume10-
dc.citation.startPage1-
dc.citation.endPage12-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaMathematical & Computational Biology-
dc.relation.journalResearchAreaNeurosciences & Neurology-
dc.relation.journalWebOfScienceCategoryMathematical & Computational Biology-
dc.relation.journalWebOfScienceCategoryNeurosciences-
dc.subject.keywordPlusDORSAL-ROOT-GANGLIA-
dc.subject.keywordPlusNEUROPATHIC PAIN-
dc.subject.keywordPlusMODEL-
dc.subject.keywordPlusNERVE-
dc.subject.keywordPlusGABA-
dc.subject.keywordPlusDEPOLARIZATION-
dc.subject.keywordPlusFREQUENCY-
dc.subject.keywordPlusSTIMULI-
dc.subject.keywordPlusNEURONS-
dc.subject.keywordPlusTISSUE-
dc.subject.keywordAuthortemporal decoding-
dc.subject.keywordAuthortemporal encoding-
dc.subject.keywordAuthorspike train analysis-
dc.subject.keywordAuthordischarge pattern-
dc.subject.keywordAuthornociception-
dc.identifier.urlhttps://www.frontiersin.org/articles/10.3389/fncom.2016.00118/full-
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서울 의과대학 > 서울 생리학교실 > 1. Journal Articles
서울 의생명공학전문대학원 > 서울 의생명공학전문대학원 > 1. Journal Articles
서울 의과대학 > 서울 의공학교실 > 1. Journal Articles

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