Spatial embedding of neuronal trees modeled by diffusive growth
Spatial embedding of neuronal trees modeled by diffusive growth
复制标题
DOI：
10.1016/j.jneumeth.2006.03.024
复制
发表时间：
2006-10-15
影响因子：
3
通讯作者：
Luczak, Artur
中科院分区：
文献类型：
--
作者：
Luczak, Artur
决定树的几何形状多样性的内在因素和外在因素的相对重要性尚不清楚。通过建立一个基于扩散限制聚集过程的树状树生长模型来解决这个问题。该模型通过只改变生长区的大小、修剪的时间跨度和神经营养颗粒的空间浓度来再现不同的神经元形状(即颗粒细胞、浦肯野细胞、锥体细胞的基树和顶树，以及神经元间的轴突树)。更重要的是。所提出的模型显示了神经元之间的竞争如何影响树状结构树的形状。该模型表明，复杂(但可重复的)枝晶状树的创建不需要精确的指导或枝晶几何的内在平面图。相反，基本的环境因素和简单的扩散生长规则充分解释了在皮质中观察到的不同类型树突的空间嵌入。文中还给出了一个例子，说明了该算法对不同类型的树结构建模的广泛适用性。(C)2006爱思唯尔B.V.保留所有权利。
The relative importance of the intrinsic and extrinsic factors determining the variety of geometric shapes exhibited by dendritic trees remains unclear. This question was addressed by developing a model of the growth of dendritic trees based on diffrision-limited aggregation process. the model reproduces diverse neuronal shapes (i.e., granule cells, Purkinje cells, the basal and apical dendrites of pyramidal cells, and the axonal trees of inter-neurons) by changing only the size of the growth area, the time span of pruning, and the spatial concentration of 'neurotrophic particles'. Moreover, the. presented model shows how competition between neurons can affect the shape of the dendritic trees. The model reveals that the creation of complex (but reproducible) dendrite-like trees does not require precise guidance or an intrinsic plan of the dendrite geometry. Instead, basic environmental factors and the simple rules of diffusive growth adequately account for the spatial embedding of different types of dendrites observed in the cortex. An example demonstrating the broad applicability of the algorithm to model diverse types of tree structures is also presented. (c) 2006 Elsevier B.V. All rights reserved.