Prothero J
Department of Biological Structure, University of Washington, Seattle 98195-74201, USA.
J Hirnforsch. 1997;38(2):195-207.
A simple scaling model germane to the gyrencephalic mammalian cortex is proposed. The model aims to account for the empirical scaling of morphometric variables such as cortical thickness, surface area and volume, as a function of brain size. Several assumptions are made. Gyrencephalic cortices are assumed to be modular in construction, comprised of identical repeating units. Both the number and size of cortical units are assumed to increase with increasing brain size. The shape of the brain and of the repeating units are assumed not to vary systematically with brain size. The surface-density of repeating units is taken to be invariant. The model exponents for cortical thickness, folded surface area and volume, each as a function of cerebral volume, are one-ninth, eight-ninths and one, respectively. These discrete model exponents, and others, are in reasonable agreement with a diverse body of scaling data, both phylogenetic and ontogenetic. One interpretation is that phylogenetic scaling simply reflects ontogenetic scaling, extended over a wide range of adult brain sizes. The model is confined to ontogenetic/phylogenetic scaling. It is suggested that the model exponents are not adaptive, in the usual sense of that term.
提出了一个适用于脑回哺乳动物皮层的简单缩放模型。该模型旨在解释形态测量变量(如皮层厚度、表面积和体积)作为脑大小函数的经验缩放关系。做出了几个假设。假设脑回皮层在结构上是模块化的,由相同的重复单元组成。假定皮层单元的数量和大小都随脑大小的增加而增加。假设脑和重复单元的形状不会随脑大小而系统变化。重复单元的表面密度被认为是不变的。皮层厚度、折叠表面积和体积的模型指数,各自作为脑体积的函数,分别为九分之一、九分之八和一。这些离散的模型指数以及其他指数,与各种系统发育和个体发育的缩放数据合理地一致。一种解释是,系统发育缩放仅仅反映了个体发育缩放,扩展到了广泛的成年脑大小范围。该模型局限于个体发育/系统发育缩放。有人认为,这些模型指数并非通常意义上的适应性指数。