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Ultrasound imaging of dorsal neck muscles with speckle tracking analyses - the relationship between muscle deformation and force
Linköping University, Department of Medical and Health Sciences, Division of Physiotherapy. Linköping University, Faculty of Medicine and Health Sciences. Uppsala Univ, Sweden.ORCID iD: 0000-0003-2492-0306
Univ Queensland, Australia; Queensland Hlth, Australia.
Umea Univ, Sweden.
Univ Queensland, Australia.
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2019 (English)In: Scientific Reports, ISSN 2045-2322, E-ISSN 2045-2322, Vol. 9, article id 13688Article in journal (Refereed) Published
Abstract [en]

The development of methods of non-invasive measurement of neck muscle function remains a priority in the clinical sciences. In this study, dorsal neck muscle deformation vs time curves (deformation area) were evaluated against incremental force, recorded from non-invasive real-time ultrasound measurement. The results revealed subject-specific moderate to strong linear or non-linear relationships between deformation and force. Test-retest variability showed strong reliability for all five neck muscles summed together and fair to good reliability for the five muscles evaluated separately. Multivariate statistics were used to analyse the interactions between the dorsal neck muscles during different percentages of maximal voluntary contraction (MVC). Low force (10-20% MVC) was related to muscle shortening; higher force (40-80% MVC) showed combination of shortening and elongation deformation in the muscle interactions. The muscle interactions during isometric MVC test were subject-specific, with different combinations and deformations of the five neck muscles. Force amp;gt;= 40% MVC were associated with a forward movement of the cervical spine that affected the ultrasound measurement of the dorsal neck muscles. Ultrasound with speckle-tracking analyses may be best used to detect low levels (amp;lt;40% MVC) of neck muscle activity.

Place, publisher, year, edition, pages
NATURE PUBLISHING GROUP , 2019. Vol. 9, article id 13688
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Physiotherapy
Identifiers
URN: urn:nbn:se:liu:diva-161140DOI: 10.1038/s41598-019-49916-1ISI: 000487216300008PubMedID: 31548564OAI: oai:DiVA.org:liu-161140DiVA, id: diva2:1365791
Note

Funding Agencies|Swedish government; Swedish Social Insurance Agency through the REHSAM foundation; Swedish Research CouncilSwedish Research Council; Centre for Clinical Research Sormland at Uppsala University Sweden; Swedish Society of Medicine

Available from: 2019-10-25 Created: 2019-10-25 Last updated: 2019-10-25

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • de-DE
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  • sv-SE
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