Krishnamoorthy Vijaya, Latash Mark L, Scholz John P, Zatsiorsky Vladimir M
Department of Kinesiology, Rec. Hall - 267L, The Pennsylvania State University, University Park, PA 16802, USA.
Exp Brain Res. 2003 Oct;152(3):281-92. doi: 10.1007/s00221-003-1574-6. Epub 2003 Aug 7.
Movements by a standing person are commonly associated with adjustments in the activity of postural muscles to cause a desired shift of the center of pressure (COP) and keep balance. We hypothesize that such COP shifts are controlled (stabilized) using a small set of central variables (muscle modes, M-modes), while each M-mode induces changes in the activity of a subgroup of postural muscles. The main purpose of this study has been to explore the possibility of identification of muscle synergies in a postural task using the framework of the uncontrolled manifold (UCM) hypothesis employing the following three steps in data analysis: (i) Identification of M-modes: Subjects were asked to release a load from extended arms through a pulley system, resulting in a COP shift forward prior to load release. Electromyographic (EMG) activity of eleven postural muscles on one side of the body was integrated over a 100 ms interval corresponding to the early stage of the COP shift, and subjected to a principal component (PC) analysis across multiple repetitions of each task. Three PCs were identified and associated with a 'push-back M-mode', a 'push-forward M-mode' and a 'mixed M-mode'. (ii) Calculation of the Jacobian of the system, which relates changes in the magnitude of M-modes to COP shifts using regression techniques: Subjects performed three different tasks (releasing different loads at the back, voluntarily shifting body weight forward and backward, at different speeds) to verify if the relationship between magnitudes of M-modes and COP shifts is task or direction specific. (iii) UCM analysis: Three tasks were chosen (load release in the front, arm movement forward and backward) which were associated with an early shift in COP. A manifold was identified in the M-mode space corresponding to a certain average (across trials) shift of the COP and variance per degree of freedom within the UCM (V(UCM)) and orthogonal (V(ORT)) to the UCM was computed. Across subjects, V(UCM) was significantly higher than V(ORT) when analysis at the third step was performed using a Jacobian computed based on a set of tasks associated with a COP shift in the same direction but not in the opposite direction. This result confirms our hypothesis that the M-modes work together as a synergy to stabilize a desired shift of the COP. Forward and backward COP shifts are associated with different synergies based on the same three M-modes.
站立的人的动作通常与姿势肌肉活动的调整相关联,以引起压力中心(COP)的期望转移并保持平衡。我们假设这种COP转移是通过一小套中心变量(肌肉模式,M模式)来控制(稳定)的,而每个M模式会引起姿势肌肉子组活动的变化。本研究的主要目的是利用非控制流形(UCM)假设的框架,通过数据分析的以下三个步骤,探索在姿势任务中识别肌肉协同作用的可能性:(i)识别M模式:要求受试者通过滑轮系统从伸展的手臂上释放负载,导致在负载释放前COP向前转移。在与COP转移早期相对应的100毫秒间隔内,对身体一侧的11块姿势肌肉的肌电图(EMG)活动进行积分,并在每个任务的多次重复中进行主成分(PC)分析。识别出三个主成分,并将其与“后推M模式”、“前推M模式”和“混合M模式”相关联。(ii)计算系统的雅可比矩阵,该矩阵使用回归技术将M模式大小的变化与COP转移相关联:受试者执行三个不同的任务(在背部释放不同的负载、以不同速度自愿向前和向后转移体重),以验证M模式大小与COP转移之间的关系是否特定于任务或方向。(iii)UCM分析:选择了三个任务(前方负载释放、手臂向前和向后移动),这些任务与COP的早期转移相关。在M模式空间中识别出一个流形,该流形对应于COP的某个平均(跨试验)转移以及UCM内每个自由度的方差(V(UCM)),并计算与UCM正交的(V(ORT))。当使用基于与相同方向但非相反方向的COP转移相关的一组任务计算的雅可比矩阵进行第三步分析时,跨受试者的V(UCM)显著高于V(ORT)。这一结果证实了我们的假设,即M模式协同工作以稳定COP的期望转移。基于相同的三个M模式,向前和向后的COP转移与不同的协同作用相关联。