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[人类小脑大型神经元树突分支模式的定量分析]

[Quantitative analysis of dendritic branching pattern of large neurons in human cerebellum].

作者信息

Milosević Nebojsa T, Ristanović Dusan, Marić Dusica L, Gudović Radmila, Krstonosić Bojana

机构信息

Univerzitet u Beogradu, Medicinski fakultet, Institut za biofiziku, Beograd, Srbija.

出版信息

Vojnosanit Pregl. 2010 Sep;67(9):712-6. doi: 10.2298/vsp1009712m.

Abstract

BACKGROUND/AIM: Dentate nucleus (nucleus dentatus) is the most distant of the cerebellar nuclei and the major system for information transfer in the cerebellum. So far, dendritic branches of four different kinds of large neurons of dentate nucleus, have been considered mainly qualitatively with no quantification of their morphological features. The aim of the study was to test the qualitative hypothesis that the human dentate nucleus is composed of various types of the large neurons by quantitative analysis of their dendritic branching patterns.

METHODS

Series of horizontal sections of the dentate nuclei were taken from 15 adult human brains, free of diagnosed neurological disorders. The 189 Golgi-impregnated images of large neurons were recorded by a digital camera connected to a light microscope. Dendritic branching patterns of digitized neuronal images were analyzed by modified Sholl and fractal analyses.

RESULTS

The number of intersections (N(m)), critical radius (r(c)) and fractal dimension (D) of dendritic branching pattern for four types of the large neurons were calculated, statistically evaluated and analyzed. The results show that there is a significant difference between four neuronal types in one morphometric parameter at least.

CONCLUSION

The present study is the first attempt to analyze quantitatively the dendritic branching pattern of neurons from the dentate nucleus in the human. The hypothesis that the four types of the large neurons exist in this part of human cerebellum is successfully supported.

摘要

背景/目的:齿状核是小脑核中距离最远的,也是小脑中信息传递的主要系统。到目前为止,齿状核四种不同类型大神经元的树突分支主要是定性研究,其形态特征没有量化。本研究的目的是通过对其树突分支模式进行定量分析,来验证关于人类齿状核由多种类型大神经元组成的定性假设。

方法

从15个无神经疾病诊断的成人大脑中获取齿状核的一系列水平切片。通过连接到光学显微镜的数码相机记录189张经高尔基染色的大神经元图像。采用改良的肖尔分析和分形分析对数字化神经元图像的树突分支模式进行分析。

结果

计算、统计评估并分析了四种类型大神经元树突分支模式的交点数(N(m))、临界半径(r(c))和分形维数(D)。结果表明,至少在一个形态测量参数上,四种神经元类型之间存在显著差异。

结论

本研究首次尝试对人类齿状核神经元的树突分支模式进行定量分析。成功支持了人类小脑这一部分存在四种类型大神经元的假设。

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