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神经元和小胶质细胞的形态学和分形分类:二维和三维。

Morphology and Fractal-Based Classifications of Neurons and Microglia in Two and Three Dimensions.

机构信息

School of Community Health, Charles Sturt University, Albury, NSW, Australia.

Department of Medical Sciences and Biotechnology Center, Khalifa University, Abu Dhabi, UAE.

出版信息

Adv Neurobiol. 2024;36:149-172. doi: 10.1007/978-3-031-47606-8_7.

Abstract

Microglia and neurons live physically intertwined, intimately related structurally and functionally in a dynamic relationship in which microglia change continuously over a much shorter timescale than do neurons. Although microglia may unwind and depart from the neurons they attend under certain circumstances, in general, together both contribute to the fractal topology of the brain that defines its computational capabilities. Both neuronal and microglial morphologies are well-described using fractal analysis complementary to more traditional measures. For neurons, the fractal dimension has proved valuable for classifying dendritic branching and other neuronal features relevant to pathology and development. For microglia, fractal geometry has substantially contributed to classifying functional categories, where, in general, the more pathological the biological status, the lower the fractal dimension for individual cells, with some exceptions, including hyper-ramification. This chapter provides a review of the intimate relationships between neurons and microglia, by introducing 2D and 3D fractal analysis methodology and its applications in neuron-microglia function in health and disease.

摘要

小胶质细胞和神经元在物理上紧密交织,在动态关系中结构和功能密切相关,其中小胶质细胞的变化速度比神经元快得多。尽管在某些情况下小胶质细胞可能会从它们所关注的神经元上解开并离开,但总的来说,它们共同构成了定义大脑计算能力的分形拓扑结构。神经元和小胶质细胞的形态都可以使用分形分析来很好地描述,这种方法与更传统的测量方法互补。对于神经元,分形维数已被证明对于分类树突分支和其他与病理学和发育相关的神经元特征非常有用。对于小胶质细胞,分形几何在分类功能类别方面做出了重要贡献,一般来说,生物状态越病态,单个细胞的分形维数越低,但也有一些例外,包括超分枝。本章通过介绍 2D 和 3D 分形分析方法及其在健康和疾病状态下神经元-小胶质细胞功能中的应用,综述了神经元和小胶质细胞之间的密切关系。

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