Rand Troy J, Mukherjee Mukul
Department of Biomechanics, University of Nebraska at Omaha, 6001 Dodge Street, BRB #210, Omaha, NE, 68182, USA.
Exp Brain Res. 2018 May;236(5):1491-1500. doi: 10.1007/s00221-018-5235-1. Epub 2018 Mar 21.
The sensorimotor system prefers sway velocity information when maintaining upright posture. Sway velocity has a unique characteristic of being persistent on a short time-scale and anti-persistent on a longer time-scale. The time where the transition from persistence to anti-persistence occurs provides information about how sway velocity is controlled. It is, however, not clear what factors affect shifts in this transition point. This research investigated postural responses to support surface movements of different temporal correlations and movement velocities. Participants stood on a force platform that was translated according to three different levels of temporal correlation. White noise had no correlation, pink noise had moderate correlation, and sine wave movements had very strong correlation. Each correlation structure was analyzed at five different average movement velocities (0.5, 1.0, 2.0, 3.0, and 4.0 cm·s), as well as one trial of quiet stance. Center of pressure velocity was analyzed using fractal analysis to determine the transition from persistent to anti-persistent behavior, as well as the strength of persistence. As movement velocity increased, the time to transition became longer for the sine wave and shorter for the white and pink noise movements. Likewise, during the persistent time-scale, the sine wave resulted in the strongest correlation, while white and pink noise had weaker correlations. At the highest three movement velocities, the strength of persistence was lower for the white noise compared to pink noise movements. These results demonstrate that the predictability and velocity of support surface oscillations affect the time-scale threshold between persistent and anti-persistent postural responses. Consequently, whether a feedforward or feedback control is utilized for appropriate postural responses may also be determined by the predictability and velocity of environmental stimuli. The study provides new insight into flexibility and adaptability in postural control. This information has implications for the design of rehabilitative protocols in neuromuscular control.
在维持直立姿势时,感觉运动系统更倾向于摆动速度信息。摆动速度具有独特的特性,即在短时间尺度上具有持续性,而在较长时间尺度上具有反持续性。从持续性转变为反持续性的时间提供了有关摆动速度如何被控制的信息。然而,尚不清楚哪些因素会影响这个转变点的变化。本研究调查了对不同时间相关性和运动速度的支撑面运动的姿势反应。参与者站在一个根据三种不同时间相关性水平进行平移的力平台上。白噪声没有相关性,粉红噪声有中等相关性,正弦波运动有很强的相关性。每种相关性结构在五种不同的平均运动速度(0.5、1.0、2.0、3.0和4.0厘米·秒)下进行分析,以及一次安静站立试验。使用分形分析来分析压力中心速度,以确定从持续性行为到反持续性行为的转变以及持续性的强度。随着运动速度的增加,正弦波的转变时间变长,而白噪声和粉红噪声运动的转变时间变短。同样,在持续时间尺度上,正弦波的相关性最强,而白噪声和粉红噪声的相关性较弱。在最高的三种运动速度下,白噪声的持续性强度低于粉红噪声运动。这些结果表明,支撑面振荡的可预测性和速度会影响持续和反持续姿势反应之间的时间尺度阈值。因此,用于适当姿势反应的前馈或反馈控制是否被采用也可能由环境刺激的可预测性和速度决定。该研究为姿势控制的灵活性和适应性提供了新的见解。这些信息对神经肌肉控制康复方案的设计具有重要意义。