Relationship between shear wave velocity and muscle activation is inconsistent across different muscle types
Bernabei, M.; Ludvig, D.; Sandercock, T. G.; Perreault, E. J.; Lee, S. S. M.
Show abstract
There is an increasing use of shear wave ultrasound elastography to quantify mechanical properties of muscles under various conditions such as changes muscle length and levels of activation in healthy and pathological muscle. However, little is known about the variability in shear wave velocity among muscles as most studies investigate one specific muscle. The purpose of this study was to determine if the relationship between SWV and muscle activation is consistent across muscles with different architectures: biceps brachii, tibialis anterior, and medial gastrocnemius, All measures were made at matching levels of activation and approximately at the optimal length for each muscle to control for length-dependent changes in the relationship between activation and force or stiffness. We also conducted a control experiment to determine how the passive force within a muscle alters the relationship between muscle activation and shear wave velocity. The relationship between shear wave velocity-squared and activation above 10% MVC differed across muscles, with biceps brachii and medial gastrocnemius showing a lower slope than tibialis anterior. Shear wave velocity-squared also differed between muscles at the shortest length (p<0.001) and the increase in shear wave velocity-squared with muscle lengthening also differed between muscle types (p = 0.005) Muscle-specific differences could not be explained by the architectural features such as pennation angle, fiber length, and physiological cross-sectional area. Our results demonstrate that there is not a unique relationship between muscle activation and shear wave velocity, highlighting the importance of understanding the many factors contributing to shear wave propagation in muscle before elastography can be used to make quantitative comparisons across muscle types.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Using dynamic ultrasound to assess Achilles tendon mechanics during running: the effect on running pattern and muscle-tendon junction tracking 95%
- Tibial nerve stiffness is related to maximum angle of ankle dorsiflexion 95%
- Joint Moment-Angle/Velocity Relations in the Hip, Knee, and Ankle: A Meta-Visualization of Datasets 95%
Similar papers in this journal
- Eccentric exercise is not equal to eccentric contraction 96%
- Modulation of Common Synaptic Inputs and Motor Unit Recruitment Threshold in TricepsSurae Muscles: Effects of Ankle Position 96%
- In vivo characterization of Achilles subtendon function and morphology within the tendon cross section and along the free tendon 96%
Similar papers in this journal
- Quantifying mechanical loading and elastic strain energy of the human Achilles tendon during walking and running 97%
- Neuromuscular fatigue and recovery after strenuous exercise depends on skeletal muscle size and stem cell characteristics 95%
- Foot strike pattern during running alters muscle-tendon dynamics of the gastrocnemius and the soleus 94%
Similar papers in this journal
- Residual force depression is not related to positive muscle fascicle work during submaximal voluntary dorsiflexion contractions in humans 97%
- The stretch-shortening cycle effect is not associated with cortical or spinal excitability modulations 95%
- Voluntary co-contraction of ankle muscles alters motor unit discharge characteristics and reduces estimates of persistent inward currents 95%
Similar papers in this journal
- A comparative analysis of co-contraction indices using synthetic EMG data: Implications for selection and interpretation 95%
- Effect of An Inverted Seated Position with Upper Arm Blood Flow Restriction on Measures of Elbow Flexors Neuromuscular Performance 95%
- Discover Your Potential: The Influence of Kinematics on a Muscle's Ability to Contribute to the Sit-to-Stand Transfer 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.