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Morphological correlates of principal components of current source density profile in the frog optic tectum

青蛙视顶盖电流源密度分布主要成分的形态相关性

基本信息

批准号：
11640682
负责人：
NAKAGAWA Hideki
金额：
$ 1.6万
依托单位：
Kyushu Institute of Technology
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
1999
资助国家：
日本
起止时间：
1999 至 2000
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-11640682/
关键词：
optic tectum Golgi staining principal component analysis frog neuron morphological property physiological principal component morphological principal component

项目摘要

In the frog Rana catesbeiana, we have applied principal component analysis (PCA) to characterize the spatiotemporal current source density (CSD) patterns generated by distinct neuronal populations producing the tectal neuronal activity and showed that 84 per cent of the variance of the CSD was accounted for by the first three principal components (PCs).Here, to demonstrate their morphological correlates, we also applied PCA to 21 morphological parameters obtained from 40 Golgi-stained tectal neurons. The analysis showed that 80 per cent of the variance of measured morphological parameters was accounted for by the first six PCs. Judging from the component loadings of each PCs concerning each morphological parameters, possible morphological correlates of each PCs are proposed as follows. PC1 corresponded to large tectal neurons with radially expanding dendrites and large cell bodies. PC2 corresponded to small tectal neurons with vertically expanding short dendrites. PC3 and PC4 corresponded to tectal neurons with vertical dendrites expanding up to the tectal surface and cell bodies in layer 6 or deeper, and those with vertically expanding dendrites and cell bodies in layer 8, respectively. Finally, PC5 and PC6 corresponded to tectal neurons with thin dendrites branching profoundly, and those with symmetrical branching pattern and many basal branches, respectively. Based on these findings, we concluded that physiological PC1, PC2 and PC3 corresponded to morphological PC3, PC4 and PC2, respectively.

在青蛙 Rana catesbeiana 中，我们应用主成分分析 (PCA) 来表征由产生顶盖神经元活动的不同神经元群体产生的时空电流源密度 (CSD) 模式，并表明前三个主成分 (PC) 解释了 CSD 方差的 84%。在这里，为了证明它们的形态相关性，我们还应用了对从 40 个高尔基体染色的顶盖神经元获得的 21 个形态参数进行 PCA 分析。分析表明，所测量的形态参数的方差的 80% 是由前 6 个 PC 造成的。从每个PC关于每个形态参数的成分负载来看，每个PC可能的形态相关性被提出如下。 PC1 对应于具有径向扩张的树突和大细胞体的大顶盖神经元。 PC2 对应于具有垂直扩展的短树突的小顶盖神经元。 PC3和PC4分别对应于具有垂直树突扩展到顶盖表面和第6层或更深处的细胞体的顶盖神经元，以及那些具有垂直扩展的树突和第8层细胞体的顶盖神经元。最后，PC5和PC6分别对应于具有细树突分支深刻的顶盖神经元，以及具有对称分支模式和许多基底分支的顶盖神经元。基于这些发现，我们得出结论，生理学 PC1、PC2 和 PC3 分别对应于形态学 PC3、PC4 和 PC2。