Tuning of a basic coordination pattern constructs straight-ahead and curved walking in humans

Tuning of a basic coordination pattern constructs straight-ahead and curved walking in humans
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DOI:
10.1152/jn.00817.2003
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发表时间:
2004-04-01
影响因子:
2.5
通讯作者:
Schieppati, M
Schieppati, M
中科院分区:
医学3区
文献类型:
--
作者:
Courtine, G;Schieppati, M

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我们测试的假设,共同的原则,管理生产的运动模式,为直线前进和弯曲行走。全身运动记录表明,连续弯曲行走意味着大量的,肢体特定的变化,在许多步态描述。主成分分析(PCA)被用来揭示下肢节段之间的协调的时空结构。PCA显示,相同的运动学规律占直线前进和弯曲行走过程中,在额状面和矢状面的下肢段之间的协调:转向相关的变化,在复杂的行为的内部和外部肢体被捕获在肢体特定的自适应调整的协调模式。PCA也进行了数据集,包括所有的仰角的肢体节段和躯干,因此包括13个自由度。结果表明,直线行走和曲线行走都是低维的,因为3个主成分可以解释90%以上的数据方差。此外,主成分的时间过程在曲线行走时没有变化,从而表明在直线行走和曲线行走期间所有身体部位之间的协调模式不变。然而,肢体和转向依赖调谐的协调模式编码的肢体运动学的实际方向的步行机构的适应。无论是直线行走还是曲线行走,视觉缺失对节间协调性均无显著影响。我们的研究结果表明,运动学的法律,可能出现从脊髓神经网络和机械振荡器的相互作用,subserve生产的直线前进和弯曲行走。在运动过程中,下行命令调整基本的脊髓网络,以便产生脊髓输出的幅度和相位关系的变化,足以实现身体转动。
We tested the hypothesis that common principles govern the production of the locomotor patterns for both straight-ahead and curved walking. Whole body movement recordings showed that continuous curved walking implies substantial, limb-specific changes in numerous gait descriptors. Principal component analysis (PCA) was used to uncover the spatiotemporal structure of coordination among lower limb segments. PCA revealed that the same kinematic law accounted for the coordination among lower limb segments during both straight-ahead and curved walking, in both the frontal and sagittal planes: turn-related changes in the complex behavior of the inner and outer limbs were captured in limb-specific adaptive tuning of coordination patterns. PCA was also performed on a data set including all elevation angles of limb segments and trunk, thus encompassing 13 degrees of freedom. The results showed that both straight-ahead and curved walking were low dimensional, given that 3 principal components accounted for more than 90% of data variance. Furthermore, the time course of the principal components was unchanged by curved walking, thereby indicating invariant coordination patterns among all body segments during straight-ahead and curved walking. Nevertheless, limb-and turn-dependent tuning of the coordination patterns encoded the adaptations of the limb kinematics to the actual direction of the walking body. Absence of vision had no significant effect on the intersegmental coordination during either straight-ahead or curved walking. Our findings indicate that kinematic laws, probably emerging from the interaction of spinal neural networks and mechanical oscillators, subserve the production of both straight-ahead and curved walking. During locomotion, the descending command tunes basic spinal networks so as to produce the changes in amplitude and phase relationships of the spinal output, sufficient to achieve the body turn.