Is Central Origin of Muscle Fatigue Distinguished Solely in Finger Tapping Performance?

dc.contributor.authorAydin, Leyla
dc.contributor.authorBuyukkaraman, Arda
dc.contributor.authorKiziltan, Erhan
dc.contributor.authorDogan, Selen
dc.contributor.authorOgus, Ersin
dc.contributor.authorErturk, Gizem
dc.contributor.authorAzizagaoglu, Bahadir
dc.contributor.authorKus, Cansel
dc.contributor.orcID0000-0001-6029-3835en_US
dc.contributor.orcID0000-0002-9877-421Xen_US
dc.contributor.researcherIDABC-5392-2020en_US
dc.contributor.researcherIDAAD-6090-2021en_US
dc.contributor.researcherIDAAJ-1058-2021en_US
dc.date.accessioned2023-05-26T11:01:03Z
dc.date.available2023-05-26T11:01:03Z
dc.date.issued2017
dc.description.abstractAs 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) or the nervous system that controls muscle (central). This study aimed to investigate the effects of central fatigue on finger tapping performance and discusses the specificity of finger tapping task test as a simple diagnostic tool for fatigue. For this purpose, 27 healthy, male, right-handed volunteer performed four 20-s of finger tapping task tests. The one was for control and the other three were followed by 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. The results showed that the partial evaluation of the task instead of complete test period yielded with statistically significant differences between control and fatigue models (p<0.001) and even in between fatigue models. Approximately the first 5-s of a finger tapping task consists of motor learning processes and dynamics of energy consumption from anaerobic sources therefore, reflects the central components of fatigue, dominantly. 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.identifier.endpage547en_US
dc.identifier.issn2471-7819en_US
dc.identifier.scopus2-s2.0-85049502007en_US
dc.identifier.startpage542en_US
dc.identifier.urihttp://hdl.handle.net/11727/9217
dc.identifier.wos000427878000091en_US
dc.language.isoengen_US
dc.relation.isversionof10.1109/BIBE.2017.00098en_US
dc.relation.journal17th IEEE International Conference on Bioinformatics and Bioengineering (BIBE)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectfinger tapping tasken_US
dc.subjectcentral fatigueen_US
dc.subjecttapping performanceen_US
dc.titleIs Central Origin of Muscle Fatigue Distinguished Solely in Finger Tapping Performance?en_US
dc.typeConference Objecten_US

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