Degani Adriana M, Leonard Charles T, Danna-Dos-Santos Alessander
Motor Control Research Laboratory, School of Physical Therapy and Rehabilitation Science, The University of Montana, Missoula, MT 59812-4680 USA.
Motor Control Research Laboratory, School of Physical Therapy and Rehabilitation Science, The University of Montana, Missoula, MT 59812-4680 USA.
Neurosci Lett. 2017 Aug 24;656:108-113. doi: 10.1016/j.neulet.2017.07.032. Epub 2017 Jul 19.
The overall goal of this study was to investigate potential adaptations brought about by the natural processes of aging on the coordination of postural muscles. Considering the progressive and non-homogeneous deterioration of sensorimotor and neuromuscular systems as the individual grows older, it was hypothesized that aging is associated with a reorganization of synergistic mechanisms controlling postural muscles. Therefore, the presence, distribution, and strength of correlated neural inputs to three posterior postural muscles were measured by intermuscular coherence estimations at a low frequency band (0-55Hz). Nine healthy young adults and thirteen healthy older adults performed ten trials of a perturbed task: bipedal stance while holding a five kg load for fifteen seconds. Estimates of intermuscular coherence for each pair of electromyographic signals (soleus and biceps femoris, soleus and erector spinae, and biceps femoris and erector spinae) were computed. Results revealed significantly stronger levels of synchronization of posterior muscles within 0-10Hz in seniors compared to young adults. In addition, seniors presented similar spectra of intermuscular coherence within 0-55Hz for all three muscle pairs analyzed. These findings provide valuable information regarding compensatory mechanisms adopted by older adults to control balance. The age-related reorganization of neural drive controlling posterior postural muscles revealing a stronger synchronization within 0-10Hz might be related to the faster body sway and muscle co-activation patterns usually observed in this population. Finally, this study supports the use of Intermuscular Coherence Analysis as a sensitive method to detect age-related changes in multi-muscle control.
本研究的总体目标是调查衰老自然过程对姿势肌肉协调性所带来的潜在适应性变化。考虑到随着个体年龄增长,感觉运动和神经肌肉系统会逐渐且非均匀地衰退,研究假设衰老与控制姿势肌肉的协同机制重组有关。因此,通过低频带(0 - 55Hz)的肌间相干估计来测量三个后姿势肌肉相关神经输入的存在、分布和强度。九名健康年轻成年人与十三名健康老年人进行了十次受干扰任务试验:双足站立并手持5千克重物15秒。计算每对肌电信号(比目鱼肌与股二头肌、比目鱼肌与竖脊肌、股二头肌与竖脊肌)的肌间相干估计值。结果显示,与年轻成年人相比,老年人在0 - 10Hz范围内后肌肉的同步水平显著更强。此外,老年人在0 - 55Hz范围内,所分析的所有三对肌肉的肌间相干频谱相似。这些发现为老年人控制平衡所采用的补偿机制提供了有价值的信息。与年龄相关的控制后姿势肌肉的神经驱动重组显示在0 - 10Hz范围内有更强的同步性,这可能与该人群中通常观察到的更快的身体摆动和肌肉共同激活模式有关。最后,本研究支持将肌间相干分析用作检测多肌肉控制中与年龄相关变化的一种敏感方法。