Department of Mechanical Engineering, University of Washington, Seattle, WA, United States.
Department of Mechanical Engineering, University of Washington, Seattle, WA, United States.
J Biomech. 2024 Mar;165:112015. doi: 10.1016/j.jbiomech.2024.112015. Epub 2024 Feb 21.
Cerebral palsy (CP) is a neurologic injury that impacts control of movement. Individuals with CP also often develop secondary impairments like weakness and contracture. Both altered motor control and secondary impairments influence how an individual walks after neurologic injury. However, understanding the complex interactions between and relative effects of these impairments makes analyzing and improving walking capacity in CP challenging. We used a sagittal-plane musculoskeletal model and neuromuscular control framework to simulate crouch and nondisabled gait. We perturbed each simulation by varying the number of synergies controlling each leg (altered control), and imposed weakness and contracture. A Bayesian Additive Regression Trees (BART) model was also used to parse the relative effects of each impairment on the muscle activations required for each gait pattern. By using these simulations to evaluate gait-pattern specific effects of neuromuscular impairments, we identified some advantages of crouch gait. For example, crouch tolerated 13 % and 22 % more plantarflexor weakness than nondisabled gait without and with altered control, respectively. Furthermore, BART demonstrated that plantarflexor weakness had twice the effect on total muscle activity required during nondisabled gait than crouch gait. However, crouch gait was also disadvantageous in the presence of vasti weakness: crouch gait increased the effects of vasti weakness on gait without and with altered control. These simulations highlight gait-pattern specific effects and interactions between neuromuscular impairments. Utilizing computational techniques to understand these effects can elicit advantages of gait deviations, providing insight into why individuals may select their gait pattern and possible interventions to improve energetics.
脑性瘫痪(CP)是一种影响运动控制的神经损伤。CP 患者通常还会出现肌肉无力和挛缩等继发性损伤。运动控制的改变和继发性损伤都会影响神经损伤后个体的行走方式。然而,理解这些损伤之间的复杂相互作用及其相对影响使得分析和改善 CP 患者的行走能力具有挑战性。我们使用矢状面肌肉骨骼模型和神经肌肉控制框架来模拟蹲姿和非残疾步态。我们通过改变每条腿控制的协同作用数量(改变控制)并施加肌肉无力和挛缩来对每个模拟进行扰动。还使用贝叶斯加法回归树(BART)模型来解析每个损伤对每种步态模式所需肌肉激活的相对影响。通过使用这些模拟来评估神经肌肉损伤对步态模式的具体影响,我们确定了蹲姿步态的一些优势。例如,与非残疾步态相比,在没有和改变控制的情况下,蹲姿步态分别能够耐受 13%和 22%更多的跖屈肌无力。此外,BART 表明,在非残疾步态中,跖屈肌无力对总肌肉活动的影响是蹲姿步态的两倍。然而,在股四头肌无力的情况下,蹲姿步态也不利:蹲姿步态增加了股四头肌无力对有和没有改变控制的步态的影响。这些模拟突出了步态模式特定的影响和神经肌肉损伤之间的相互作用。利用计算技术来理解这些影响可以发挥步态偏差的优势,深入了解为什么个体可能选择他们的步态模式以及可能改善能量学的干预措施。