Quantifying neuronal size: Summing up trees and splitting the branch difference

被引:57
作者
Brown, Kerry M.
Gillette, Todd A.
Ascoli, Giorgio A. [1 ]
机构
[1] George Mason Univ, Ctr Neural Informat Struct & Plast, Fairfax, VA 22030 USA
关键词
Caulescence; Asymmetry; Morphology; Neuronal function; Neuronal modeling;
D O I
10.1016/j.semcdb.2008.08.005
中图分类号
Q2 [细胞生物学];
学科分类号
071009 [细胞生物学]; 090102 [作物遗传育种];
摘要
Neurons vary greatly in size, shape, and complexity depending on their underlying function. Overall size of neuronal trees affects connectivity, area of influence, and other biophysical properties. Relative distributions of neuronal extent, such as the difference between subtrees at branch points, are also critically related to function and activity. This review covers neuromorphological research that analyzes shape and size to elucidate their functional role for different neuron types. We also introduce a novel morphometric, "caulescence", capturing the extent to which trees exhibit a main path. Neuronal tree types differ vastly in caulescence, suggesting potential neurocomputational correlates of this property. (c) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:485 / 493
页数:9
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