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使用主成分分析对大鼠小脑分子层中间神经元进行定量高尔基研究。

Quantitative Golgi study of the rat cerebellar molecular layer interneurons using principal component analysis.

作者信息

Sultan F, Bower J M

机构信息

Division of Biology, California Institute of Technology, Pasadena 91125, USA.

出版信息

J Comp Neurol. 1998 Apr 13;393(3):353-73.

PMID:9548555
Abstract

In this study, we applied for the first time a multivariate analysis to describe the anatomy of cerebellar molecular layer interneurons. Forty variables extending over a variety of morphological features (geometrical, topological, and metrical) were obtained from a three-dimensional reconstruction of 26 rat rapid Golgi-stained neurons. The subsequent principal component analysis showed that the first principal component was strongly correlated with variables related to the depth of each cell's soma in the molecular layer. The second principal component was strongly correlated with parameters describing axonal morphology. Finally, an analysis of the distribution of these anatomical features suggested that these cells cannot be classified into distinct groups but, instead, represent one continuously varying population. Thus, the classical division of molecular layer neurons into deep basket cells and superficial stellate cells is not supported by our analysis. These results have important implications for the development of the cerebellar cortex as well as for the expected patterns of Purkinje cell activity following activation of the granule cell layer.

摘要

在本研究中,我们首次应用多变量分析来描述小脑分子层中间神经元的解剖结构。从26只大鼠快速高尔基染色神经元的三维重建中获得了40个涵盖各种形态特征(几何、拓扑和度量)的变量。随后的主成分分析表明,第一主成分与每个细胞胞体在分子层中的深度相关变量密切相关。第二主成分与描述轴突形态的参数密切相关。最后,对这些解剖特征分布的分析表明,这些细胞不能被分为不同的组,而是代表一个连续变化的群体。因此,我们的分析不支持将分子层神经元经典地分为深部篮状细胞和浅部星状细胞。这些结果对小脑皮质的发育以及颗粒细胞层激活后浦肯野细胞活动的预期模式具有重要意义。

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