4.4 Article

Stabilization of cat paw trajectory during locomotion

期刊

JOURNAL OF NEUROPHYSIOLOGY
卷 112, 期 6, 页码 1376-1391

出版社

AMER PHYSIOLOGICAL SOC
DOI: 10.1152/jn.00663.2013

关键词

uncontrolled manifold analysis; principle of abundance; walking; accurate stepping; cat

资金

  1. National Institutes of Health [HD-32571, EB-012855, NS-058659]
  2. Center for Human Movement Studies at Georgia Tech

向作者/读者索取更多资源

We investigated which of cat limb kinematic variables during swing of regular walking and accurate stepping along a horizontal ladder are stabilized by coordinated changes of limb segment angles. Three hypotheses were tested: 1) animals stabilize the entire swing trajectory of specific kinematic variables (performance variables); and 2) the level of trajectory stabilization is similar between regular and ladder walking and 3) is higher for forelimbs compared with hindlimbs. We used the framework of the uncontrolled manifold (UCM) hypothesis to quantify the structure of variance of limb kinematics in the limb segment orientation space across steps. Two components of variance were quantified for each potential performance variable, one of which affected it (bad variance, variance orthogonal to the UCM, V-ORT) while the other one did not (good variance, variance within the UCM, V-UCM). The analysis of five candidate performance variables revealed that cats during both locomotor behaviors stabilize 1) paw vertical position during the entire swing (V-UCM > V-ORT, except in mid-hindpaw swing of ladder walking) and 2) horizontal paw position in initial and terminal swing (except for the entire forepaw swing of regular walking). We also found that the limb length was typically stabilized in midswing, whereas limb orientation was not (V-UCM <= V-ORT) for both limbs and behaviors during entire swing. We conclude that stabilization of paw position in early and terminal swing enables accurate and stable locomotion, while stabilization of vertical paw position in midswing helps paw clearance. This study is the first to demonstrate the applicability of the UCM-based analysis to nonhuman movement.

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