Department of Kinesiology, The Pennsylvania State University, Rec.Hall-267, University Park, PA 16802, USA.
Exp Brain Res. 2010 Apr;202(2):457-71. doi: 10.1007/s00221-009-2153-2. Epub 2010 Jan 5.
We used the framework of the uncontrolled manifold hypothesis to quantify multi-muscle synergies stabilizing the moment of force about the frontal axis (M(Y)) and the shear force in the anterior-posterior direction (F(X)) during voluntary body sway performed by standing subjects. We tested a hypothesis whether the controller could stabilize both M(Y) and F(X) at the same time when the task and the visual feedback was provided only on one of the variables (M(Y)). Healthy young subjects performed voluntary body sway in the anterior-posterior direction while different loads were attached at the ankle level producing horizontal forces acting forward or backwards. Principal component analysis was used to identify three M-modes within the space of integrated indices of muscle activation. Variance in the M-mode space across sway cycles was partitioned into two components, one that did not affect a selected performance variable (M(Y) or F(X)) and the other that did. Under all loading conditions and for each performance variable, a higher value for the former variance component was found. We interpret these results as reflections of two multi-M-mode synergies stabilizing both F(X) and M(Y). The indices of synergies were modulated within the sway cycle; both performance variables were better stabilized when the body moved forward than when it moved backward. The results show that the controller can use a set of three elemental variables (M-modes) to stabilize two performance variables at the same time. No negative interference was seen between the synergy indices computed for the two performance variables supporting the principle of superposition with respect to multi-muscle postural control.
我们使用非控制流形假说的框架来量化多肌肉协同作用,以稳定站立受试者自愿身体摆动时关于额轴的力矩(M(Y))和前后方向剪切力(F(X))。我们测试了一个假设,即当任务和视觉反馈仅提供一个变量(M(Y))时,控制器是否可以同时稳定 M(Y)和 F(X)。健康的年轻受试者在前后方向上进行自愿的身体摆动,同时在脚踝处施加不同的负载,产生向前或向后作用的水平力。主成分分析用于识别肌肉激活综合指标空间内的三个 M 模式。在摆动周期内,M 模式空间中的方差分为两个分量,一个不影响选定的性能变量(M(Y)或 F(X)),另一个则影响。在所有负载条件下和每个性能变量下,前一个方差分量的值更高。我们将这些结果解释为两种多 M 模式协同作用稳定 F(X)和 M(Y)的反映。协同作用指数在摆动周期内发生调制;当身体向前移动时,两个性能变量都得到更好的稳定,而当身体向后移动时则不稳定。结果表明,控制器可以使用一组三个基本变量(M 模式)同时稳定两个性能变量。对于两个性能变量计算的协同作用指数之间没有看到负干扰,这支持了多肌肉姿势控制的叠加原理。