Estimating Exercise-Induced Changes in Human Neuronal Networks

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dc.authoridhttps://orcid.org/0000-0001-9962-075Xen_US
dc.contributor.authorTürker, Kemal Sıtkı
dc.date.accessioned2023-08-01T17:46:57Z
dc.date.available2023-08-01T17:46:57Z
dc.date.issued2021en_US
dc.departmentDiş Hekimliği Fakültesien_US
dc.description.abstractAlthough several methods have been used to estimate exercise-induced changes in human neuronal networks, there are growing doubts about the methodologies used. This review describes a single motor unit–based method that minimizes the errors inherent in classical methods. With this method, it is now possible to identify human neuronal networks' changes due to exercise.en_US
dc.identifier.doi10.1249/JES.0000000000000255en_US
dc.identifier.endpage156en_US
dc.identifier.issn0091-6331
dc.identifier.issn1538-3008
dc.identifier.issue3en_US
dc.identifier.pmid33927162en_US
dc.identifier.scopus2-s2.0-85108089741en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage147en_US
dc.identifier.urihttps://hdl.handle.net/11363/5148
dc.identifier.urihttps://doi.org/
dc.identifier.volume49en_US
dc.identifier.wosWOS:000660104700001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.institutionauthorTürker, Kemal Sıtkı
dc.language.isoenen_US
dc.publisherLIPPINCOTT WILLIAMS & WILKINS, TWO COMMERCE SQ, 2001 MARKET ST, PHILADELPHIA, PA 19103en_US
dc.relation.ispartofExercise and Sport Sciences Reviewsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectelectromyographyen_US
dc.subjectreflexesen_US
dc.subjectcortical silent perioden_US
dc.subjectmotor evoked potentialen_US
dc.subjecttranscranial magnetic stimulationen_US
dc.titleEstimating Exercise-Induced Changes in Human Neuronal Networksen_US
dc.typeArticleen_US

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