Mayhew T M
Department of Human Morphology, Queens Medical Centre, University of Nottingham, United Kingdom.
J Comp Neurol. 1991 Jun 8;308(2):162-8. doi: 10.1002/cne.903080203.
Purkinje cell nucleoli are used as counting units in order to obtain unbiased (fractionator) estimates of the number, N, of Purkinje neurons in adult mammalian cerebella of known weight, W. Regression analysis is then employed to establish the nature of the relationship between logN and logW. The linear regression equation defines an allometric relation that is employed to predict number in cerebella of known weight from other mammals. Predicted numbers are tested against empirical estimates. For 19 cerebella ranging in weight from 0.2 g (rat) to 113 g (human), the allometric relation between Purkinje cell number and organ weight was determined. By using this relation, the mean complement in three rabbit cerebella (average weight, 0.87 g) is predicted to be 0.63 million. This figure is confirmed by fractionator estimates made on the same three brains. The cat cerebellum should contain about 1.5-2.0 million Purkinje cells. An estimate of 1.2-1.3 million cells is to be found in the literature. Including rabbit cerebella in a refined equation yields the following relation: N = 686000W(0.695). With this refined equation, further predictions are made about the numbers likely to be found in the cerebella of the dog, goat, pig, ox, and horse. The numbers predicted for these animals must await experimental verification, but they are entirely consistent with previous suggestions that neuronal packing densities decrease with increasing brain size.
浦肯野细胞的核仁被用作计数单位,以便对已知重量W的成年哺乳动物小脑的浦肯野神经元数量N进行无偏倚(分样法)估计。然后采用回归分析来确定logN与logW之间关系的性质。线性回归方程定义了一种异速生长关系,该关系用于根据其他哺乳动物已知重量的小脑来预测其神经元数量。将预测数量与经验估计值进行对比检验。对于19个重量从0.2克(大鼠)到113克(人类)不等的小脑,确定了浦肯野细胞数量与器官重量之间的异速生长关系。利用这种关系,预测三只兔小脑(平均重量0.87克)的平均细胞数量为63万。这一数字通过对相同的三只兔脑进行分样法估计得到了证实。猫小脑应含有约150 - 200万个浦肯野细胞。文献中估计的细胞数量为120 - 130万个。将兔小脑纳入一个改进方程得到以下关系:N = 686000W(0.695)。利用这个改进方程,进一步预测了狗、山羊、猪、牛和马的小脑可能含有的细胞数量。这些动物的预测数量有待实验验证,但它们与之前关于神经元堆积密度随脑体积增大而降低的观点完全一致。