Schmitt O, Eggers R, Haug H
Institute of Anatomy, Medical University of Lübeck, Germany.
Ann Anat. 1995 Jul;177(5):455-65. doi: 10.1016/S0940-9602(11)80153-6.
Several mathematical procedures have been worked out for describing quantitative arrangements of neurons, and especially subpopulations of neurons, in the human putamen. Visual point field analysis is a newly developed method for the qualitative recognition of the fuzzy clustering of types of neurons. Nearest neighbourhood analysis is an established procedure in stochastic geometry and image analysis. These cluster-analytical methods make possible the determination of local neuron topology. They represent an extension and application of the point pattern analysis (Diggle 1983), and are used here to calculate the statistical significance of certain arrangements of cells. The application of all these methods together revealed an interesting neuronal arrangement: type 1 neurons tend to remain at a certain distance from other type 1 neurons, whereas type 6 neurons lie close together.
已经制定了几种数学程序来描述人类壳核中神经元的定量排列,特别是神经元亚群的排列。视觉点场分析是一种新开发的用于定性识别神经元类型模糊聚类的方法。最近邻分析是随机几何和图像分析中既定的程序。这些聚类分析方法使得确定局部神经元拓扑成为可能。它们代表了点模式分析的扩展和应用(Diggle,1983年),并在此用于计算细胞特定排列的统计显著性。所有这些方法一起应用揭示了一种有趣的神经元排列:1型神经元倾向于与其他1型神经元保持一定距离,而6型神经元则紧密聚集在一起。