A software tool for the analysis of neuronal morphology data.
A software tool for the analysis of neuronal morphology data.
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DOI：
10.1186/1755-7682-7-6
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发表时间：
2014-02-17
期刊：
影响因子：
--
通讯作者：
Treviño M
中科院分区：
文献类型：
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作者：
Ledderose J;Sención L;Salgado H;Arias-Carrión O;Treviño M
解剖学在支持和塑造神经系统活动方面起着基础性作用。在过去的二十年里，计算机处理能力的显著进步使得为神经解剖学研究生成完整的三维(3D)树突和轴突形态的电子数据库成为可能。几个实验室在结果公布后免费在网上发布他们的重建结果v.gr。神经形态.组织(NAT Rev NeuroScience 7：318-324,2006).这些神经解剖学档案是探索大脑结构和功能之间关系的重要资源(Foret NeuroScience 6：49,2012)。然而，这种笛卡尔描述对神经学家来说没有多少直观的信息。在这里，我们开发了一个简单的基于MATLAB的软件工具原型来定量描述公共资源库中的3D神经元结构。该程序引入神经元重建并量化基本形态参数的统计分布，如分支长度、曲折、分支谱系和分叉角。利用这些形态分布，我们的算法可以生成一组易于用于网络模拟的虚拟神经元。
Anatomy plays a fundamental role in supporting and shaping nervous system activity. The remarkable progress of computer processing power within the last two decades has enabled the generation of electronic databases of complete three-dimensional (3D) dendritic and axonal morphology for neuroanatomical studies. Several laboratories are freely posting their reconstructions online after result publication v.gr. NeuroMorpho.Org (Nat Rev Neurosci7:318–324, 2006). These neuroanatomical archives represent a crucial resource to explore the relationship between structure and function in the brain (Front Neurosci6:49, 2012). However, such 'Cartesian’ descriptions bear little intuitive information for neuroscientists. Here, we developed a simple prototype of a MATLAB-based software tool to quantitatively describe the 3D neuronal structures from public repositories. The program imports neuronal reconstructions and quantifies statistical distributions of basic morphological parameters such as branch length, tortuosity, branch's genealogy and bifurcation angles. Using these morphological distributions, our algorithm can generate a set of virtual neurons readily usable for network simulations.