A framework for optimal whole-sample histological quantification of neurite orientation dispersion in the human spinal cord
A framework for optimal whole-sample histological quantification of neurite orientation dispersion in the human spinal cord
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DOI：
10.1016/j.jneumeth.2016.08.002
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发表时间：
2016-11-01
影响因子：
3
通讯作者：
Alexander, Daniel C.
中科院分区：
文献类型：
--
作者：
Grussu, Francesco;Schneidera, Torben;Alexander, Daniel C.
背景资料：组织中纤维分布的复杂性是一个重要的微观结构特征，现在可以通过磁共振成像（MRI）通过取向分散（OD）指数在体内测量。OD指标已获得流行的神经突形态的表征，但他们仍然缺乏系统的验证。本文展示了一个框架，全样本组织学定量OD在脊髓标本，可能有用的验证MRI衍生OD estimates.New method：我们的方法框架是基于（一）矢状面切片;（二）Palmgren的银染色;（三）结构张量（ST）分析;（四）方向统计。新的元素是数据驱动的ST分析的空间尺度的优化，和一个新的多变量，加权定向统计方法各向异性知情的量化OD.Results：Palmgren的银染色脊髓矢状面部分提供了强大的可视化的神经元元素，使OD量化。ST分析的空间尺度的选择影响OD值，并且加权方向统计提供具有高对比度噪声的OD图。与现有方法的比较：我们的框架可以潜在地提供OD，即使在脱髓鞘疾病，髓鞘为基础的组织学是不合适的。与传统的单变量方法相比，我们的多元加权方向统计提高了OD图的噪声对比度，并更准确地描述了ST metrics.Conclusions的分布：我们的框架使实际的全标本特性的OD在脊髓。我们建议调整ST分析的规模，以实现最佳OD量化，以及神经突分割和加权方向统计，本文提供了这些示例。(C)2016作者由Elsevier B. V.出版。这是一篇开放获取的文章，在CC BY许可证下
Background: The complexity of fibre distributions in tissues is an important microstructural feature, now measurable in vivo by magnetic resonance imaging (MRI) through orientation dispersion (OD) indices. OD metrics have gained popularity for the characterisation of neurite morphology, but they still lack systematic validation. This paper demonstrates a framework for whole-sample histological quantification of OD in spinal cord specimens, potentially useful for validating MRI-derived OD estimates.New method: Our methodological framework is based on (i) sagittal sectioning; (ii) Palmgren's silver staining; (iii) structure tensor (ST) analysis; (iv) directional statistics. Novel elements are the data-driven optimisation of the spatial scale of ST analysis, and a new multivariate, weighted directional statistical approach for anisotropy-informed quantification of OD.Results: Palmgren's silver staining of sagittal spinal cord sections provides robust visualisation of neuronal elements, enabling OD quantification. The choice of spatial scale of ST analysis influences OD values, and weighted directional statistics provide OD maps with high contrast-to-noise. Segmentation of neurites prior to OD quantification is recommended.Comparison with existing methods: Our framework can potentially provide OD even in demyelinating diseases, where myelin-based histology is not suitable. As compared to conventional univariate approaches, our multivariate weighted directional statistics improve the contrast-to-noise of OD maps and more accurately describe the distribution of ST metrics.Conclusions: Our framework enables practical whole-specimen characterisation of OD in the spinal cord. We recommend tuning the scale of ST analysis for optimal OD quantification, as well as neurite segmentation and weighted directional statistics, of which examples are provided herein. (C) 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license