Branching patterns for arterioles and venules of the human cerebral cortex
Branching patterns for arterioles and venules of the human cerebral cortex
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DOI：
10.1016/j.brainres.2009.12.007
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发表时间：
2010-02-08
期刊：
影响因子：
2.9
通讯作者：
Duvernoy, Henri
中科院分区：
文献类型：
--
作者：
Cassot, Francis;Lauwers, Frederic;Duvernoy, Henri
微血管网络的分支模式影响血管阻力并允许控制外周流量分布。本文的目的是分析人类大脑皮层的这些分支模式。微血管网络的数字三维图像是通过共焦激光显微镜从注射印度墨水的人脑厚切片中获得的，覆盖了大面积的次级皮层。使用一种新颖的分割方法提取 228 个血管树（152 个小动脉和 76 个小静脉）的骨架并测量每个顶点的直径。分析了近 10,000 个皮质血管树分叉的分支模式（分叉面积比和分叉角度），建立了它们的统计特性和结构变化作为血管性质（小动脉与小静脉）、母血管拓扑顺序或分叉类型的函数。我们还描述了它们的连接性，并讨论了假设的血管分支最佳设计的相关性，以解释微血管结构的复杂性。考虑了其中一些结构变化的功能含义。从人体器官的大型数据库中建立的分支模式有助于更好地理解分叉设计，并为诊断和未来脑微血管网络的大规模重建提供重要参考。 (c) 2009 Elsevier B.V. 保留所有权利。
Branching patterns of microvascular networks influence vascular resistance and allow control of peripheral flow distribution. The aim of this paper was to analyze these branching patterns in human cerebral cortex. Digital three-dimensional images of the microvascular network were obtained from thick sections of India ink-injected human brain by confocal laser microscopy covering a large zone of secondary cortex. A novel segmentation method was used to extract the skeletons of 228 vascular trees (152 arterioles and 76 venules) and measure the diameter at every vertex. The branching patterns (area ratios and angles of bifurcations) of nearly 10,000 bifurcations of cortical vascular trees were analyzed, establishing their statistical properties and structural variations as a function of the vessel nature (arterioles versus venules), the parent vessel topological order or the bifurcation type. We also describe their connectivity and discuss the relevance of the assumed optimal design of vascular branching to account for the complex nature of microvascular architecture. The functional implications of some of these structural variations are considered. The branching patterns established from a large database of a human organ contributes to a better understanding of the bifurcation design and provides an essential reference both for diagnosis and for a future large reconstruction of cerebral microvascular network. (c) 2009 Elsevier B.V. All rights reserved.