Institute of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Neural Systems Laboratory, Department of Health Sciences, Boston University, Boston, Massachusetts, United States of America.
PLoS Comput Biol. 2018 Nov 26;14(11):e1006550. doi: 10.1371/journal.pcbi.1006550. eCollection 2018 Nov.
The architectonic type principle relates patterns of cortico-cortical connectivity to the relative architectonic differentiation of cortical regions. One mechanism through which the observed close relation between cortical architecture and connectivity may be established is the joint development of cortical areas and their connections in developmental time windows. Here, we describe a theoretical exploration of the possible mechanistic underpinnings of the architectonic type principle, by performing systematic computational simulations of cortical development. The main component of our in silico model was a developing two-dimensional cortical sheet, which was gradually populated by neurons that formed cortico-cortical connections. To assess different explanatory mechanisms, we varied the spatiotemporal trajectory of the simulated neurogenesis. By keeping the rules governing axon outgrowth and connection formation constant across all variants of simulated development, we were able to create model variants which differed exclusively by the specifics of when and where neurons were generated. Thus, all differences in the resulting connectivity were due to the variations in spatiotemporal growth trajectories. Our results demonstrated that a prescribed targeting of interareal connection sites was not necessary for obtaining a realistic replication of the experimentally observed relation between connection patterns and architectonic differentiation. Instead, we found that spatiotemporal interactions within the forming cortical sheet were sufficient if a small number of empirically well-grounded assumptions were met, namely planar, expansive growth of the cortical sheet around two points of origin as neurogenesis progressed, stronger architectonic differentiation of cortical areas for later neurogenetic time windows, and stochastic connection formation. Thus, our study highlights a potential mechanism of how relative architectonic differentiation and cortical connectivity become linked during development. We successfully predicted connectivity in two species, cat and macaque, from simulated cortico-cortical connection networks, which further underscored the general applicability of mechanisms through which the architectonic type principle can explain cortical connectivity in terms of the relative architectonic differentiation of cortical regions.
结构类型原则将皮质-皮质连接模式与皮质区域的相对结构分化联系起来。观察到皮质结构与连接之间的密切关系可能建立的一种机制是皮质区域及其连接在发育时间窗中的共同发育。在这里,我们通过对皮质发育进行系统的计算模拟,描述了结构类型原则的可能机制基础的理论探索。我们的计算机模型的主要组成部分是一个正在发育的二维皮质片,其中逐渐有神经元形成皮质-皮质连接。为了评估不同的解释机制,我们改变了模拟神经发生的时空轨迹。通过保持所有模拟发育变体中轴突生长和连接形成的规则不变,我们能够创建仅在神经元生成的时间和位置上有所不同的模型变体。因此,连接中所有的差异都是由于时空生长轨迹的变化造成的。我们的结果表明,对于获得实验观察到的连接模式和结构分化之间的关系的现实复制,区域间连接位点的预定靶向并不是必需的。相反,我们发现,如果满足少数基于经验的合理假设,即皮质片围绕两个起源点进行平面、扩张性生长,随着神经发生的进行,皮质区域的结构分化更强,以及随机连接形成,那么在形成中的皮质片中的时空相互作用就足够了。因此,我们的研究强调了一种潜在的机制,即相对结构分化和皮质连接在发育过程中是如何联系在一起的。我们成功地从模拟的皮质-皮质连接网络中预测了猫和猕猴两种物种的连接,这进一步强调了通过结构类型原则可以根据皮质区域的相对结构分化来解释皮质连接的机制的普遍适用性。