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脊髓神经元树突分支的分形性。

Fractality of dendritic arborization of spinal cord neurons.

作者信息

Milosević Nebojsa T, Ristanović Dusan

机构信息

Department of Biophysics, Faculty of Medicine, University of Belgrade, Visegradska 26/2, 11000 Belgrade, Serbia and Montenegro.

出版信息

Neurosci Lett. 2006 Apr 3;396(3):172-6. doi: 10.1016/j.neulet.2005.11.031. Epub 2005 Dec 20.

Abstract

Skeletonized images of Golgi impregnated neurons from the human, monkey, cat and rat dorsal horns were subjected to fractal analysis. These neurons have sparse branching of dendrite arbors. It is noticed that, in certain neuronal samples, some authors report that scaling range of experimentally declared fractals is extremely limited and spanned approximately between 0.5 and 2.0 decades. In order to retain our hypothesis that neurons with dendrites of uncomplicated shapes can be considered fractal over three decades of scale, we conducted four procedures: (i) we used the box-counting method, (ii) we scaled the box sizes as a power of 2, (iii) we chose the coefficient of correlation, measuring the "goodness of fit" of experimental data points to regression straight line, to be equal to or larger than 0.995, and (iv) we pointed out that all the neurons analyzed have a single fractal dimension measuring a global fractality showing no linear regions. As a control, we used some cerebellar Purkinje cells whose dendrite trees show much more complex structure and profuseness of branching. Since, generally, the neuronal structure is among the most complex of all cellular morphologies, we believe that supporting this hypothesis we advance the neuroscience and fractal theory.

摘要

对来自人类、猴子、猫和大鼠背角的高尔基染色神经元的骨骼化图像进行了分形分析。这些神经元的树突分支稀疏。值得注意的是,在某些神经元样本中,一些作者报告说,实验宣称的分形的标度范围极其有限,并大约在0.5到2.0个数量级之间。为了维持我们的假设,即具有简单形状树突的神经元在三个数量级的尺度上可被视为分形,我们进行了四个步骤:(i)我们使用了盒计数法,(ii)我们将盒子大小按2的幂进行缩放,(iii)我们选择相关系数,测量实验数据点与回归直线的“拟合优度”,使其等于或大于0.995 ,以及(iv)我们指出,所有分析的神经元都有一个单一的分形维数,测量全局分形性,没有线性区域。作为对照,我们使用了一些小脑浦肯野细胞其树突树显示出更复杂的结构和丰富得多分枝。由于一般来说,神经元结构是所有细胞形态中最复杂之一,我们相信支持这个假设我们推进了神经科学和分形理论。

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