Zelik Karl E, Franz Jason R
Department of Mechanical Engineering, Vanderbilt University, Nashville, TN, United States of America.
Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States of America.
PLoS One. 2017 Jul 3;12(7):e0179976. doi: 10.1371/journal.pone.0179976. eCollection 2017.
Ultrasound imaging is increasingly used with motion and force data to quantify tendon dynamics during human movement. Frequently, tendon dynamics are estimated indirectly from muscle fascicle kinematics (by subtracting muscle from muscle-tendon unit length), but there is mounting evidence that this Indirect approach yields implausible tendon work loops. Since tendons are passive viscoelastic structures, when they undergo a loading-unloading cycle they must exhibit a negative work loop (i.e., perform net negative work). However, prior studies using this Indirect approach report large positive work loops, often estimating that tendons return 2-5 J of elastic energy for every 1 J of energy stored. More direct ultrasound estimates of tendon kinematics have emerged that quantify tendon elongations by tracking either the muscle-tendon junction or localized tendon tissue. However, it is unclear if these yield more plausible estimates of tendon dynamics. Our objective was to compute tendon work loops and hysteresis losses using these two Direct tendon kinematics estimates during human walking. We found that Direct estimates generally resulted in negative work loops, with average tendon hysteresis losses of 2-11% at 1.25 m/s and 33-49% at 0.75 m/s (N = 8), alluding to 0.51-0.98 J of tendon energy returned for every 1 J stored. We interpret this finding to suggest that Direct approaches provide more plausible estimates than the Indirect approach, and may be preferable for understanding tendon energy storage and return. However, the Direct approaches did exhibit speed-dependent trends that are not consistent with isolated, in vitro tendon hysteresis losses of about 5-10%. These trends suggest that Direct estimates also contain some level of error, albeit much smaller than Indirect estimates. Overall, this study serves to highlight the complexity and difficulty of estimating tendon dynamics non-invasively, and the care that must be taken to interpret biological function from current ultrasound-based estimates.
超声成像越来越多地与运动和力数据结合使用,以量化人体运动过程中的肌腱动力学。通常,肌腱动力学是通过肌肉束运动学间接估计的(通过从肌肉 - 肌腱单元长度中减去肌肉长度),但越来越多的证据表明,这种间接方法会产生不合理的肌腱功环。由于肌腱是被动粘弹性结构,当它们经历加载 - 卸载循环时,必须表现出负功环(即执行净负功)。然而,先前使用这种间接方法的研究报告了大的正功环,通常估计肌腱每储存1焦耳能量就能返回2 - 5焦耳的弹性能量。已经出现了更直接的超声估计肌腱运动学的方法,通过跟踪肌肉 - 肌腱连接点或局部肌腱组织来量化肌腱伸长。然而,尚不清楚这些方法是否能产生更合理的肌腱动力学估计。我们的目标是在人类行走过程中使用这两种直接肌腱运动学估计来计算肌腱功环和滞后损失。我们发现,直接估计通常会产生负功环,在1.25米/秒时肌腱平均滞后损失为2 - 11%,在0.75米/秒时为33 - 49%(N = 8),这表明每储存1焦耳能量,肌腱返回0.51 - 0.98焦耳能量。我们将这一发现解释为表明直接方法比间接方法提供了更合理的估计,并且对于理解肌腱能量储存和返回可能更可取。然而,直接方法确实表现出与孤立的体外肌腱约5 - 10%的滞后损失不一致的速度依赖性趋势。这些趋势表明,直接估计也包含一定程度的误差,尽管比间接估计小得多。总体而言,本研究旨在强调无创估计肌腱动力学的复杂性和困难,以及从当前基于超声的估计中解释生物学功能时必须谨慎。