Theoretical Physics of Living Matter, Institute of Biological Information Processing (IBI-5), Research Centre Jülich, Jülich, Germany; Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany.
Theoretical Physics of Living Matter, Institute of Biological Information Processing (IBI-5), Research Centre Jülich, Jülich, Germany.
Neuroimage. 2021 May 1;231:117779. doi: 10.1016/j.neuroimage.2021.117779. Epub 2021 Feb 4.
The mammalian brain cortex is highly folded, with several developmental disorders affecting folding. On the extremes, lissencephaly, a lack of folds in humans, and polymicrogyria, an overly folded brain, can lead to severe mental retardation, short life expectancy, epileptic seizures, and tetraplegia. Not only a specific degree of folding, but also stereotyped patterns, are required for normal brain function. A quantitative model on how and why these folds appear during the development of the brain is the first step in understanding the cause of these conditions. In recent years, there have been various attempts to understand and model the mechanisms of brain folding. Previous works have shown that mechanical instabilities play a crucial role in the formation of brain folds, and that the geometry of the fetal brain is one of the main factors in dictating its folding characteristics. However, modeling higher-order folding, one of the main characteristics of the highly gyrencephalic brain, has not been fully tackled. The simulations presented in this work are used to study the effects of thickness inhomogeneity in the gyrogenesis of the mammalian brain in silico. Finite-element simulations of rectangular slabs are performed. These slabs are divided into two distinct regions, where the outer region mimicks the gray matter, and the inner region the underlying white matter. Differential growth is introduced by growing the top region tangentially, while keeping the underlying region untouched. The brain tissue is modeled as a neo-Hookean hyperelastic material. Simulations are performed with both homogeneous and inhomogeneous cortical thicknesses. Our results show that the homogeneous cortex folds into a single wavelength, as is common for bilayered materials, while the inhomogeneous cortex folds into more complex conformations. In the early stages of development of the inhomogeneous cortex, structures reminiscent of the deep sulci in the brain are obtained. As the cortex continues to develop, secondary undulations, which are shallower and more variable than the structures obtained in earlier gyrification stage emerge, reproducing well-known characteristics of higher-order folding in the mammalian, and particularly the human, brain.
哺乳动物大脑皮层高度折叠,有几种发育障碍会影响折叠。在极端情况下,无脑回畸形(人类缺乏褶皱)和脑回过多(过度折叠的大脑)可导致严重智力迟钝、预期寿命短、癫痫发作和四肢瘫痪。不仅需要特定程度的折叠,还需要刻板的模式,才能实现正常的大脑功能。了解这些褶皱在大脑发育过程中出现的原因的第一步是建立一个关于如何以及为何出现这些褶皱的定量模型。近年来,人们一直在尝试理解和模拟大脑折叠的机制。以前的工作表明,机械不稳定性在大脑褶皱的形成中起着至关重要的作用,并且胎儿大脑的几何形状是决定其折叠特征的主要因素之一。然而,更高阶折叠(高度脑回化大脑的主要特征之一)的建模尚未得到充分解决。本文提出的模拟用于研究哺乳动物大脑神经发生过程中厚度非均匀性的影响。对矩形板进行有限元模拟。这些板被分为两个不同的区域,外部区域模拟灰质,内部区域模拟白质。通过使顶部区域切向生长而使下面的区域保持不变来引入差异生长。脑组织被建模为一个新的胡克弹性超材料。对具有均匀和不均匀皮质厚度的情况进行了模拟。我们的结果表明,均匀皮层折叠成单一波长,这是双层材料的常见情况,而不均匀皮层则折叠成更复杂的构象。在不均匀皮层的早期发育阶段,获得了类似于大脑深沟的结构。随着皮层的继续发育,出现了较浅且更具可变性的二级波动,这很好地复制了哺乳动物(特别是人类)大脑中更高阶折叠的已知特征。