New insights on vertebrate olivo-cerebellar climbing fibers from computerized morphological reconstructions.

Bioarchitecture Pub Date : 2013-03-01 DOI:10.4161/bioa.24062
Izumi Sugihara, Kerry M Brown, Giorgio A Ascoli
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Abstract

Characterization of neuronal connectivity is essential to understanding the architecture of the animal nervous system. Specific labeling and imaging techniques can visualize axons and dendrites of single nerve cells. Two-dimensional manual drawing has long been used to describe the morphology of labeled neuronal elements. However, quantitative morphometry, which is essential to understanding functional significance, cannot be readily extracted unless the detailed neuronal geometry is comprehensively reconstructed in three-dimensional space. We have recently applied an accurate and robust digital reconstruction system to cerebellar climbing fibers, which form highly dense and complex terminal arbors as one of the strongest presynaptic endings in the vertebrate nervous system. Resulting statistical analysis has shown how climbing fibers morphology is special in comparison to other axonal terminals. While thick primary branches may convey excitation quickly and faithfully to the far ends, thin tendril branches, which have a larger bouton density, form the majority of presynaptic outputs. This data set, now publicly available from NeuroMorpho.Org for further modeling and analysis, may constitute the first detailed and comprehensive digital reconstruction of the complete axonal terminal field with identified branch types and full accounting of boutons for any neuronal class in the vertebrate brain.

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脊椎动物橄榄-小脑攀爬纤维的计算机形态重建新认识。
表征神经元连接是必不可少的,以了解动物神经系统的结构。特定的标记和成像技术可以可视化单个神经细胞的轴突和树突。长期以来,二维手工绘图一直被用来描述标记的神经元元素的形态。然而,除非在三维空间中全面重建详细的神经元几何结构,否则无法轻易提取对理解功能意义至关重要的定量形态学。小脑攀爬纤维是脊椎动物神经系统中最强大的突触前末梢之一,它形成了高密度和复杂的终端乔木,我们最近应用了一种精确而强大的数字重建系统。由此产生的统计分析表明,与其他轴突末梢相比,攀爬纤维的形态是如何特殊的。粗大的初级分支可以快速而忠实地将兴奋传递到远端,而细的卷须分支具有更大的钮扣密度,形成了突触前输出的大部分。这个数据集,现在可以从NeuroMorpho公开获得。为进一步建模和分析,这可能构成第一个详细和全面的完整轴突终末场的数字重建,其中包括已识别的分支类型和脊椎动物大脑中任何神经元类别的钮扣。
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