Reliability of Tibialis Anterior Muscle Voluntary Activation Using the Interpolated Twitch Technique and the Central Activation Ratio in People With Stroke

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aut.relation.articlenumber176en_NZ
aut.relation.issue2en_NZ
aut.relation.journalBrain Sciencesen_NZ
aut.relation.volume11en_NZ
aut.researcherDrabsch, Julie
dc.contributor.authorOlsen, Sen_NZ
dc.contributor.authorSignal, Nen_NZ
dc.contributor.authorNiazi, IKen_NZ
dc.contributor.authorAlder, Gen_NZ
dc.contributor.authorRashid, Uen_NZ
dc.contributor.authorNedergaard, RBen_NZ
dc.contributor.authorTaylor, Den_NZ
dc.date.accessioned2021-03-11T22:10:19Z
dc.date.available2021-03-11T22:10:19Z
dc.date.copyright2021en_NZ
dc.date.issued2021en_NZ
dc.description.abstractVoluntary activation (VA) is measured by applying supramaximal electrical stimulation to a muscle during a maximal voluntary contraction (MVC). The amplitude of the evoked muscle twitch is used to determine any VA deficit, and indicates incomplete central neural drive to the motor units. People with stroke experience VA deficits and greater levels of central fatigue, which is the decrease in VA that occurs following exercise. This study investigated the between-session reliability of VA and central fatigue of the tibialis anterior muscle (TA) in people with chronic stroke (n = 12), using the interpolated twitch technique (ITT), adjusted-ITT, and central activation ratio (CAR) methods. On two separate sessions, supramaximal electrical stimulation was applied to the TA when it was at rest and maximally activated, at the start and end of a 30-s isometric dorsiflexor MVC. The most reliable measures of VA were obtained using the CAR calculation on transformed data, which produced an ICC of 0.92, and a lower bound confidence interval in the good range (95% CI 0.77 to 0.98). Reliability was lower for the CAR calculation on non-transformed data (ICC 0.82, 95% CI 0.63 to 0.91) and the ITT and adjusted-ITT calculations on transformed data (ICCs 0.82, 95% CIs 0.51 to 0.94), which had lower bound confidence intervals in the moderate range. The two ITT calculations on non-transformed data demonstrated the poorest reliability (ICCs 0.62, 95% CI 0.25 to 0.74). Central fatigue measures demonstrated very poor reliability. Thus, the reliability for VA in people with chronic stroke ranged from good to poor, depending on the calculation method and statistical analysis method, whereas the reliability for central fatigue was very poor.en_NZ
dc.identifier.citationBrain Sciences, 11(2), 176. doi:10.3390/brainsci11020176
dc.identifier.doi10.3390/brainsci11020176en_NZ
dc.identifier.issn2076-3425en_NZ
dc.identifier.urihttps://hdl.handle.net/10292/14045
dc.languageengen_NZ
dc.publisherMDPI AGen_NZ
dc.relation.urihttps://www.mdpi.com/2076-3425/11/2/176
dc.rights© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
dc.rights.accessrightsOpenAccessen_NZ
dc.subjectCentral activation ratioen_NZ
dc.subjectInterpolated twitchen_NZ
dc.subjectReliabilityen_NZ
dc.subjectStrokeen_NZ
dc.subjectVoluntary activationen_NZ
dc.titleReliability of Tibialis Anterior Muscle Voluntary Activation Using the Interpolated Twitch Technique and the Central Activation Ratio in People With Strokeen_NZ
dc.typeJournal Article
pubs.elements-id397691
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Faculty of Design & Creative Technologies
pubs.organisational-data/AUT/Faculty of Design & Creative Technologies/School of Engineering, Computer & Mathematical Sciences
pubs.organisational-data/AUT/Faculty of Design & Creative Technologies/School of Engineering, Computer & Mathematical Sciences/BioDesign Lab
pubs.organisational-data/AUT/Faculty of Health & Environmental Science
pubs.organisational-data/AUT/Faculty of Health & Environmental Science/School of Clinical Sciences
pubs.organisational-data/AUT/Faculty of Health & Environmental Science/School of Clinical Sciences/Physiotherapy Department
pubs.organisational-data/AUT/PBRF
pubs.organisational-data/AUT/PBRF/PBRF Health and Environmental Sciences
pubs.organisational-data/AUT/PBRF/PBRF Health and Environmental Sciences/HH Clinical Sciences 2018 PBRF
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