Brinkerhoff Sarah A, Sánchez Natalia, Culver Meral N, Murrah William M, Robinson Austin T, McCullough J Danielle, Miller Matthew W, Roper Jaimie A
Department of Neurology, University of Alabama at Birmingham, Birmingham, AL 35233, USA.
Department of Physical Therapy, Chapman University, Irvine, CA 92618, USA.
J Exp Biol. 2024 Dec 1;227(23). doi: 10.1242/jeb.249217. Epub 2024 Nov 28.
Gait adaptation during bipedal walking allows people to adjust their walking patterns to maintain balance, avoid obstacles and avoid injury. Adaptation involves complex processes that function to maintain stability and reduce energy expenditure. However, the processes that influence walking patterns during different points in the adaptation period remain to be investigated. We assessed split-belt adaptation in 17 young adults aged 19-35. We also assessed individual aerobic capacity to understand how aerobic capacity influences adaptation. We analyzed step lengths, step length asymmetry (SLA), mediolateral margins of stability, positive, negative and net mechanical work rates, as well as metabolic rate during adaptation. Dual-rate exponential mixed-effects regressions estimated the adaptation of each measure over two timescales; results indicate that mediolateral stability adapts over a single timescale in under 1 min, whereas mechanical work rates, metabolic rate, step lengths and SLA adapt over two distinct timescales (3.5-11.2 min). We then regressed mediolateral margins of stability, net mechanical work rate and metabolic rate on SLA during early and late adaptation phases to determine whether stability drives early adaptation and energetic cost drives late adaptation. Stability predicted SLA during the initial rapid onset of adaptation, and mechanical work rate predicted SLA during the latter part of adaptation. Findings suggest that stability optimization may contribute to early gait changes and that mechanical work contributes to later changes during adaptation. A final sub-analysis showed that aerobic capacity levels <36 and >43 ml kg-1 min-1 resulted in greater SLA adaptation, underscoring the metabolic influences on gait adaptation. This study illuminates the complex interplay between biomechanical and metabolic factors in gait adaptation, shedding light on fundamental mechanisms underlying human locomotion.
双足行走过程中的步态适应使人们能够调整行走模式以保持平衡、避开障碍物并避免受伤。适应涉及复杂的过程,这些过程的作用是维持稳定性并减少能量消耗。然而,在适应期不同时间点影响行走模式的过程仍有待研究。我们评估了17名年龄在19至35岁之间的年轻成年人的分带适应情况。我们还评估了个体的有氧能力,以了解有氧能力如何影响适应。我们分析了适应过程中的步长、步长不对称性(SLA)、稳定性的内外侧边缘、正、负和净机械功率以及代谢率。双速率指数混合效应回归估计了各项指标在两个时间尺度上的适应情况;结果表明,内外侧稳定性在不到1分钟的单一时间尺度上适应,而机械功率、代谢率、步长和SLA在两个不同的时间尺度上适应(3.5至11.2分钟)。然后,我们在适应早期和晚期阶段,将稳定性的内外侧边缘、净机械功率和代谢率对SLA进行回归,以确定稳定性是否驱动早期适应,而能量消耗是否驱动晚期适应。在适应初期快速开始时,稳定性预测了SLA,而在适应后期,机械功率预测了SLA。研究结果表明,稳定性优化可能有助于早期步态变化,而机械功率则有助于适应后期的变化。最后的子分析表明,有氧能力水平<36和>43 ml kg-1 min-1会导致更大的SLA适应,强调了代谢对步态适应的影响。这项研究揭示了步态适应中生物力学和代谢因素之间的复杂相互作用,阐明了人类运动的基本机制。