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Rich Club Organization and Intermodule Communication in the Cat Connectome

机译:Cat Connectome中的Rich Club组织和模块间通信

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摘要

Macroscopic brain networks have been shown to display several properties of an efficient communication architecture. In light of global communication, the formation of a densely connected neural “rich club” of hubs is of particular interest, because brain hubs have been suggested to play a key role in enabling short communication pathways within neural networks. Here, analyzing the cat connectome as reconstructed from tract tracing data (), we provide several lines of evidence of an important role of the structural rich club to interlink functional domains. First, rich club hub nodes were found to be mostly present at the boundaries between functional communities and well represented among intermodule hubs, displaying a diverse connectivity profile. Second, rich club connections, linking nodes of the rich club, and feeder connections, linking non-rich club nodes to rich club nodes, were found to comprise 86% of the intermodule connections, whereas local connections between peripheral nodes mostly spanned between nodes of the same functional community. Third, almost 90% of all intermodule communication paths were found to follow a sequence or “path motif” that involved rich club or feeder edges and thus traversed a rich club node. Together, our findings provide evidence of the structural rich club to form a central infrastructure for intermodule communication in the brain.
机译:宏观脑网络已显示出显示有效通信体系结构的几种属性。从全球交流的角度来看,形成集线器的紧密连接的神经“丰富俱乐部”尤为重要,因为已建议大脑集线器在启用神经网络内的短交流路径方面起关键作用。在这里,通过分析从管道追踪数据重建的猫连接体(),我们提供了多条证据,证明结构丰富的俱乐部在互连功能域方面的重要作用。首先,发现丰富的俱乐部中心节点主要出现在功能社区之间的边界处,并且在模块间中心之间得到很好的表示,从而显示出多样化的连通性。第二,富俱乐部的连接(链接富俱乐部的节点)和馈线连接(将非富俱乐部的节点链接到富俱乐部的节点)被发现占模块间连接的86%,而外围节点之间的局部连接主要跨越相同的功能社区。第三,发现几乎所有模块间通信路径中的90%遵循一个序列或“路径主题”,该序列或路径涉及丰富的杆头或支线边缘,因此遍历了丰富的杆头节点。在一起,我们的发现提供了丰富的结构性俱乐部的证据,该俱乐部形成了大脑中模块间通讯的中央基础设施。

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