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颈脊髓损伤后体重支持跑步机训练大鼠步态变化的新型时空分析

Novel spatiotemporal analysis of gait changes in body weight supported treadmill trained rats following cervical spinal cord injury.

作者信息

Neckel Nathan D

机构信息

Department of Neuroscience, Georgetown University, 3970 Reservoir Rd, Washington, DC, NW, 20007, USA.

出版信息

J Neuroeng Rehabil. 2017 Sep 13;14(1):96. doi: 10.1186/s12984-017-0308-0.

Abstract

BACKGROUND

Common gait measures such as stride length, cycle time, and step height are not independent variables, but different aspects of the same multidimensional step. This complicates comparisons between experimental groups. Here we present a novel multidimensional gait analysis method and use this method to assess the ability of body weight supported treadmill training (BWSTT) to improve rodent stepping after spinal cord injury (SCI).

METHODS

In lieu of reducing a step to a collection of gait measures and comparing the means of several of these, we developed a multidimensional analysis technique that compares the step as a whole. While in a passive robotic gait training device, the pre-injury hindlimb stepping of 108 rats was recorded while they walked in a quadrupedal posture at 8 cm/s. Following a C4/5 over-hemisection spinal cord injury the weekly changes in stepping were tracked for 17 untrained and 10 BWSTT animals for 7 weeks. The performance of trained rats was recorded during training with BWS, as well as at the end of the training week without BWS. An additional six uninjured rats were trained for 5 weeks.

RESULTS

Our novel multidimensional analysis shows that stepping is asymmetrically altered 1 week after SCI. The differences in stepping change over the following weeks, with the less impaired left hindlimb deviating further away from pre-injury than the more impaired right hindlimb. Uninjured rats do not significantly alter their stepping over 5 weeks. BWSTT improves the stepping of the right hindlimb, but only when the BWS is active. If the BWS is not present, the performance of trained animals is worse than untrained rats. The left hindlimb performance of BWSTT rats is worse than untrained rats, during both training sessions and weekly assessments.

CONCLUSIONS

We feel that our novel multidimensional analysis is a more appropriate method to address the inter-dependencies of gait measures. Untrained rats exhibit both initial impairments as well as the development of compensatory techniques. BWSTT does not improve this spontaneous recovery, but exacerbates it, particularly in the less impaired left hindlimb.

摘要

背景

常见的步态测量指标,如步长、周期时间和步高,并非独立变量,而是同一多维步态的不同方面。这使得实验组之间的比较变得复杂。在此,我们提出一种新颖的多维步态分析方法,并使用该方法评估体重支持式跑步机训练(BWSTT)改善脊髓损伤(SCI)后啮齿动物步态的能力。

方法

我们开发了一种多维分析技术,该技术不是将一步简化为一系列步态测量指标并比较其中几个指标的均值,而是将整个步态作为一个整体进行比较。在被动式机器人步态训练装置中,记录了108只大鼠在以8厘米/秒的四足姿势行走时伤前的后肢步态。在C4/5半横断脊髓损伤后,对17只未训练的大鼠和10只接受BWSTT训练的大鼠的步态每周变化情况进行了7周的跟踪。在有体重支持(BWS)的训练过程中以及训练周结束且无BWS时,记录训练大鼠的表现。另外对6只未受伤的大鼠进行了5周的训练。

结果

我们新颖的多维分析表明,脊髓损伤后1周步态会出现不对称改变。在接下来的几周里,步态变化存在差异,损伤较轻的左后肢比损伤较重的右后肢偏离伤前状态的程度更大。未受伤的大鼠在5周内步态没有显著改变。BWSTT改善了右后肢的步态,但仅在有BWS时有效。如果没有BWS,训练动物的表现比未训练的大鼠更差。在训练过程和每周评估中,接受BWSTT训练的大鼠的左后肢表现都比未训练的大鼠差。

结论

我们认为我们新颖的多维分析是一种更合适的方法来处理步态测量指标之间的相互依存关系。未训练的大鼠既表现出初始损伤,也出现了代偿技术的发展。BWSTT并没有改善这种自发恢复,反而使其恶化,尤其是在损伤较轻的左后肢。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6ed/5598057/6a4212b71707/12984_2017_308_Fig1_HTML.jpg

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