Suppr超能文献

脊髓小脑反应成分中肢体轴长和方向的独立表征。

Independent representations of limb axis length and orientation in spinocerebellar response components.

作者信息

Poppele R E, Bosco G, Rankin A M

机构信息

Department of Neuroscience, University of Minnesota, Minneapolis, Minnesota 55455, USA.

出版信息

J Neurophysiol. 2002 Jan;87(1):409-22. doi: 10.1152/jn.00022.2001.

Abstract

Dorsal spinocerebellar tract (DSCT) neurons transmit sensory signals to the cerebellum that encode global hindlimb parameters, such as the hindlimb end-point position and its direction of movement. Here we use a population analysis approach to examine further the characteristics of DSCT neuronal responses during continuous movements of the hind foot. We used a robot to move the hind paw of anesthetized cats through the trajectories of a step or a figure-8 footpath in a parasagittal plane. Extracellular recordings from 82 cells converted to cycle histograms provided the basis for a principal-component analysis to determine the common features of the DSCT movement responses. Five principal components (PCs) accounted for about 80% of the total variance in the waveforms across units. The first two PCs accounted for about 60% of the variance and they were highly robust across samples. We examined the relationship between the responses and limb kinematic parameters by correlating the PC waveforms with waveforms of the joint angle and limb axis trajectories using multivariate linear regression models. Each PC waveform could be at least partly explained by a linear relationship to joint-angle trajectories, but except for the first PC, they required multiple angles. However, the limb axis parameters more closely related to both the first and second PC waveforms. In fact, linear regression models with limb axis length and orientation trajectories as predictors explained 94% of the variance in both PCs, and each was related to a particular linear combination of position and velocity. The first PC correlated with the limb axis orientation and orientation velocity trajectories, whereas second PC with the length and length velocity trajectories. These combinations were found to correspond to the dynamics of muscle spindle responses. The first two PCs were also most representative of the data set since about half the DSCT responses could be at least 85% accounted for by weighted linear combinations of these two PCs. Higher-order PCs were unrelated to limb axis trajectories and accounted instead for different dynamic components of the responses. The findings imply that an explicit and independent representation of the limb axis length and orientation may be present at the lowest levels of sensory processing in the spinal cord.

摘要

背侧脊髓小脑束(DSCT)神经元将感觉信号传递至小脑,这些信号编码整体后肢参数,如后肢端点位置及其运动方向。在此,我们采用群体分析方法,进一步研究后足连续运动过程中DSCT神经元反应的特征。我们使用机器人在矢状旁平面内,使麻醉猫的后爪沿着步幅或“8”字形路径的轨迹移动。对82个细胞进行细胞外记录并转换为周期直方图,为进行主成分分析以确定DSCT运动反应的共同特征提供了基础。五个主成分(PCs)约占各单元波形总方差的80%。前两个PCs约占方差的60%,且在各样本中具有高度稳健性。我们通过使用多元线性回归模型,将PC波形与关节角度和肢体轴轨迹的波形进行关联,来研究反应与肢体运动学参数之间的关系。每个PC波形至少部分可由与关节角度轨迹的线性关系来解释,但除了第一个PC外,它们需要多个角度。然而,肢体轴参数与第一和第二个PC波形的关系更为密切。事实上,以肢体轴长度和方向轨迹作为预测因子的线性回归模型,解释了两个PCs中方差的94%,且每个都与位置和速度的特定线性组合相关。第一个PC与肢体轴方向和方向速度轨迹相关,而第二个PC与长度和长度速度轨迹相关。发现这些组合对应于肌梭反应的动力学。前两个PCs也是数据集最具代表性的,因为约一半的DSCT反应至少85%可由这两个PCs的加权线性组合来解释。高阶PCs与肢体轴轨迹无关,而是解释了反应的不同动态成分。这些发现意味着,在脊髓感觉处理最低水平可能存在肢体轴长度和方向的明确且独立的表征。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验