Utilising dynamic motor control index to identify age-related differences in neuromuscular control

Burke, Laura; Khokhlova, Liudmila; O'Flynn, Brendan; Tedesco, Salvatore

Utilising dynamic motor control index to identify age-related differences in neuromuscular control

dc.contributor.author	Burke, Laura	en
dc.contributor.author	Khokhlova, Liudmila	en
dc.contributor.author	O'Flynn, Brendan	en
dc.contributor.author	Tedesco, Salvatore	en
dc.contributor.funder	Science Foundation Ireland	en
dc.contributor.funder	European Regional Development Fund	en
dc.contributor.funder	Enterprise Ireland	en
dc.date.accessioned	2024-03-13T11:21:10Z
dc.date.available	2024-03-13T11:21:10Z
dc.date.issued	2024-03-10	en
dc.description.abstract	Purpose: Considering the relationship between aging and neuromuscular control decline, early detection of age-related changes can ensure that timely interventions are implemented to attenuate or restore neuromuscular deficits. The dynamic motor control index (DMCI), a measure based on variance accounted for (VAF) by one muscle synergy (MS), is a metric used to assess age-related changes in neuromuscular control. The aim of the study was to investigate the use of one-synergy VAF, and consecutively DMCI, in assessing age-related changes in neuromuscular control over a range of exercises with varying difficulty. Methods: Thirty-one subjects walked on a flat and inclined treadmill, as well as performed forward and lateral stepping up tasks. Motion and muscular activity were recorded, and muscle synergy analysis was conducted using one-synergy VAF, DMCI, and number of synergies. Results: Difference between older and younger group was observed for one-synergy VAF, DMCI for forward stepping up task (one-synergy VAF difference of 2.45 (0.22, 4.68) and DMCI of 9.21 (0.81, 17.61), p = 0.033), but not for lateral stepping up or walking. Conclusion: The use of VAF based metrics and specifically DMCI, rather than number of MS, in combination with stepping forward exercise can provide a low-cost and easy to implement approach for assessing neuromuscular control in clinical settings.	en
dc.description.sponsorship	Science Foundation Ireland, Co-Funded through the European Regional Development Fund (Grant 12/RC/2289-P2-INSIGHT and Grant 16/RC/3918-CONFIRM); Enterprise Ireland (Disruptive Technologies Innovation Fund (DTIF) project HOLISTICS)	en
dc.description.status	Peer reviewed	en
dc.description.version	Published Version	en
dc.format.mimetype	application/pdf	en
dc.identifier.articleid	103200	en
dc.identifier.citation	Burke, L., Khokhlova, L., O’Flynn, B. and Tedesco, S. (2024) ‘Utilising dynamic motor control index to identify age-related differences in neuromuscular control’, Human Movement Science, 95, 103200 (9 pp). Available at: https://doi.org/10.1016/j.humov.2024.103200.	en
dc.identifier.doi	https://doi.org/10.1016/j.humov.2024.103200.	en
dc.identifier.endpage	9	en
dc.identifier.issn	0167-9457	en
dc.identifier.journaltitle	Human Movement Science	en
dc.identifier.startpage	1	en
dc.identifier.uri	https://hdl.handle.net/10468/15666
dc.identifier.volume	95	en
dc.language.iso	en	en
dc.publisher	Elsevier	en
dc.relation.ispartof	Human Movement Science	en
dc.relation.project	info:eu-repo/grantAgreement/SFI/SFI Research Centres Programme::Phase 2/12/RC/2289-P2s/IE/INSIGHT Phase 2/	en
dc.relation.project	info:eu-repo/grantAgreement/SFI/SFI Research Centres Programme::Phase 1/16/RC/3918/IE/Confirm Centre for Smart Manufacturing/	en
dc.rights	© 2024 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).	en
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	en
dc.subject	Muscle synergies	en
dc.subject	Aging	en
dc.subject	Stepping	en
dc.subject	Walking	en
dc.subject	Muscle activity	en
dc.subject	Motor index	en
dc.title	Utilising dynamic motor control index to identify age-related differences in neuromuscular control	en
dc.type	Article (peer-reviewed)	en
oaire.citation.volume	95	en