A New Method for Measuring Passive Length-tension Properties of Human Gastrocnemius Muscle in Vivo
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The study of muscle growth and muscle length adaptations requires measurement of passive length-tension properties of individual muscles, but until now such measurements have only been made in animal muscles. We describe a new method for measuring passive length-tension properties of human gastrocnemius muscles in vivo. Passive ankle torque and ankle angle data were obtained as the ankle was rotated through its full range with the knee in a range of positions. To extract gastrocnemius passive length-tension curves from passive torque-angle data it was assumed that passive ankle torque was the sum of torque due to structures which crossed only the ankle joint (this torque was a 6-parameter function of ankle joint angle) and a torque due to the gastrocnemius muscle (a 3-parameter function of knee and ankle angle). Parameter values were estimated with non-linear regression and used to reconstruct passive length-tension curves of the gastrocnemius. The reliability of the method was examined in 11 subjects by comparing three sets of measurements: two on the same day and the other at least a week later. Length-tension curves were reproducible: the average root mean square error was 5.1+/-1.1 N for pairs of measurements taken within a day and 7.3+/-1.2 N for pairs of measurements taken at least a week apart (about 3% and 6% of maximal passive tension, respectively). Length-tension curves were sensitive to mis-specification of moment arms, but changes in length-tension curves were not. The new method enables reliable measurement of passive length-tension properties of human gastrocnemius in vivo, and is likely to be useful for investigation of changes in length-tension curves over time.
Common modelling assumptions affect the joint moments measured during passive joint mobilizations.
Koussou A, Dumas R, Desailly E Sci Rep. 2023; 13(1):17782.
PMID: 37853085 PMC: 10584879. DOI: 10.1038/s41598-023-44576-8.
Zhang X, Zhang L, Sun Y, Li T, Zhou M Front Physiol. 2023; 14:907337.
PMID: 36969599 PMC: 10030944. DOI: 10.3389/fphys.2023.907337.
Cunningham R, Loram I J R Soc Interface. 2020; 17(162):20190715.
PMID: 31992165 PMC: 7014797. DOI: 10.1098/rsif.2019.0715.
Pamboris G, Noorkoiv M, Baltzopoulos V, Gokalp H, Marzilger R, Mohagheghi A PLoS One. 2018; 13(5):e0196724.
PMID: 29723229 PMC: 5933711. DOI: 10.1371/journal.pone.0196724.
Kinugasa R, Taniguchi K, Yamamura N, Fujimiya M, Katayose M, Takagi S Sci Rep. 2018; 8(1):4319.
PMID: 29531268 PMC: 5847516. DOI: 10.1038/s41598-018-22661-7.