Department of Mechanical and Mechatronic Engineering, Universidad Nacional de Colombia, Numerical Modelling and Methods in Engineering Group (GNUM), Colombia.
Comput Methods Programs Biomed. 2011 Dec;104(3):489-97. doi: 10.1016/j.cmpb.2011.07.001. Epub 2011 Jul 23.
The cerebral cortex is a gray lamina formed by bodies of neurons covering the cerebral hemispheres, varying in thickness from 1.25 mm in the occipital lobe to 4mm in the anterior lobe. The brain's surface is about 30 times greater that of the skull because of its many folds; such folds form the gyri, sulci and fissures and mark out areas having specific functions, divided into five lobes. Convolution formation may vary between individuals and is an important feature of brain formation; such patterns can be mathematically represented as Turing patterns. This article describes how a phenomenological model was developed by describing the formation pattern for the gyri occurring in the cerebral cortex by reaction diffusion equations with Turing space parameters. Numerical examples for simplified geometries of a brain were solved to study pattern formation. The finite element method was used for the numerical solution, in conjunction with the Newton-Raphson method. The numerical examples showed that the model can represent cerebral cortex fold formation and reproduce pathologies related to gyri formation, such as polymicrogyria and lissencephaly.
大脑皮层是由覆盖大脑半球的神经元体形成的灰色层,厚度从枕叶的 1.25 毫米到额叶的 4 毫米不等。由于大脑有许多褶皱,其表面面积大约是颅骨的 30 倍;这些褶皱形成了脑回、脑沟和裂,划分出具有特定功能的区域,分为五个叶。脑回的形成模式在个体之间可能有所不同,是大脑形成的一个重要特征;这种模式可以用图灵模式的数学表示。本文描述了如何通过用具有图灵空间参数的反应扩散方程来描述大脑皮层中的脑回形成模式,从而开发出一个现象学模型。针对简化的大脑几何形状,对数值示例进行了求解,以研究模式形成。有限元法与牛顿-拉普森法相结合,用于数值求解。数值示例表明,该模型可以表示大脑皮层褶皱形成,并再现与脑回形成相关的病理学,如多微脑回和无脑回畸形。