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Network Structure Implied by Initial Axon Outgrowth in Rodent Cortex: Empirical Measurement and Models

机译:啮齿动物皮层中初始轴突生长暗示的网络结构:实证测量和模型

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摘要

The developmental mechanisms by which the network organization of the adult cortex is established are incompletely understood. Here we report on empirical data on the development of connections in hamster isocortex and use these data to parameterize a network model of early cortical connectivity. Using anterograde tracers at a series of postnatal ages, we investigate the growth of connections in the early cortical sheet and systematically map initial axon extension from sites in anterior (motor), middle (somatosensory) and posterior (visual) cortex. As a general rule, developing axons extend from all sites to cover relatively large portions of the cortical field that include multiple cortical areas. From all sites, outgrowth is anisotropic, covering a greater distance along the medial/lateral axis than along the anterior/posterior axis. These observations are summarized as 2-dimensional probability distributions of axon terminal sites over the cortical sheet. Our network model consists of nodes, representing parcels of cortex, embedded in 2-dimensional space. Network nodes are connected via directed edges, representing axons, drawn according to the empirically derived anisotropic probability distribution. The networks generated are described by a number of graph theoretic measurements including graph efficiency, node betweenness centrality and average shortest path length. To determine if connectional anisotropy helps reduce the total volume occupied by axons, we define and measure a simple metric for the extra volume required by axons crossing. We investigate the impact of different levels of anisotropy on network structure and volume. The empirically observed level of anisotropy suggests a good trade-off between volume reduction and maintenance of both network efficiency and robustness. Future work will test the model's predictions for connectivity in larger cortices to gain insight into how the regulation of axonal outgrowth may have evolved to achieve efficient and economical connectivity in larger brains.
机译:建立成人皮层的网络组织的发展机制尚不完全清楚。在这里,我们报告有关仓鼠等皮质连接发展的经验数据,并使用这些数据对早期皮质连接的网络模型进行参数化。使用一系列出生后年龄的顺行示踪剂,我们调查了早期皮层中连接的生长,并系统地绘制了前皮层(运动),中皮层(体感)和后皮层(视觉)的初始轴突延伸。通常,发育中的轴突从所有部位延伸到覆盖包括多个皮层区域的皮层区域的相对较大部分。在所有位置,向外生长都是各向异性的,沿内/外轴的距离比沿前/后轴的距离大。这些观察结果概括为皮质片上轴突末端位点的二维概率分布。我们的网络模型由嵌入二维空间中的代表皮层的节点组成。网络节点通过代表轴突的有向边连接,该有向边是根据经验得出的各向异性概率分布绘制的。生成的网络由许多图形理论测量值描述,包括图形效率,节点中间性中心和平均最短路径长度。为了确定连接各向异性是否有助于减少轴突占据的总体积,我们为轴突穿越所需的额外体积定义并测量了一个简单的指标。我们调查了不同程度的各向异性对网络结构和体积的影响。从经验上观察到的各向异性水平表明,在体积减少与网络效率和鲁棒性两者之间保持良好的平衡。未来的工作将测试该模型对较大皮质的连通性的预测,以深入了解轴突生长的调控如何演变以实现较大大脑的有效和经济连通性。

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