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dc.contributor.authorKiziltan, Erhan
dc.contributor.authorAydin, Leyla
dc.contributor.authorOgus, Ersin
dc.contributor.authorAzizagaoglu, Bahadir
dc.contributor.authorBuyukkaraman, Arda
dc.contributor.authorDoga, Selen
dc.contributor.authorErtuk, Gizem
dc.contributor.authorKus, Cansel
dc.date.accessioned2019-05-08T13:31:33Z
dc.date.available2019-05-08T13:31:33Z
dc.date.issued2018
dc.identifier.issn2147-2092
dc.identifier.urihttp://medicaljournal.gazi.edu.tr/index.php/GMJ/article/view/1537
dc.identifier.urihttp://hdl.handle.net/11727/3254
dc.description.abstractObjective: As a non-specific symptom muscle fatigue mostly accompanies neuromuscular diseases and also occurs frequently in healthy individuals. Fatigue phenomenon is considered to be multidimensional symptom. There have been still discussions on the origin whether it depends primarily on the intrinsic properties of muscle itself (peripheral mechanisms) or the nervous system that controls muscle (central mechanisms). This study aimed to investigate the effects of central fatigue on the performance of maximal voluntary repetitive movement and discusses the specificity of finger tapping task test as a simple diagnostic tool for fatigue. Methods: For this purpose, 27 healthy, male, right-handed volunteer performed the 20-s of finger tapping task test for four times. The one was for control and the other three were performed right after induction of three different central fatigue models. Temporal behavior of tapping performances were evaluated based on inter-tap intervals and the statistical comparison were made by regression analysis. Results: The results showed that the partial evaluation of the task in time domain instead of complete test period yielded with statistically significant differences between control and fatigue models (p<0.001) and even in between the fatigue models. Conclusion: Approximately the first 5-s of a finger tapping task consists of both motor learning processes and dynamics of energy consumption from anaerobic sources. However, it reflects dominantly the central components of fatigue. We may conclude that the temporal behavior of tapping performance following the induction of specific fatigue model may help making further discrimination for the origin of fatigue.en_US
dc.language.isoengen_US
dc.relation.isversionof10.12996/gmj.2018.11en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCentral fatigueen_US
dc.subjectPeripheral fatigueen_US
dc.subjectFatigue modelen_US
dc.subjectRepetitive movementsen_US
dc.subjectTapping performanceen_US
dc.subjectTemporal behavioren_US
dc.titleThe Impacts of Central Fatigue on the Polyphasic Nature of Tapping Performanceen_US
dc.typearticleen_US
dc.relation.journalGAZI MEDICAL JOURNALen_US
dc.identifier.volume29en_US
dc.identifier.issue1en_US
dc.identifier.startpage48en_US
dc.identifier.endpage52en_US
dc.identifier.wos000432704800011en_US
dc.identifier.scopus2-s2.0-85040544839en_US
dc.contributor.orcID0000-0002-9877-421Xen_US
dc.contributor.orcID0000-0001-6029-3835en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergien_US
dc.contributor.researcherIDAAJ-1058-2021en_US
dc.contributor.researcherIDABC-5392-2020en_US
dc.contributor.researcherIDAAD-6090-2021en_US


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