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The Rich-Club Organization in Rat Functional Brain Network to Balance Between Communication Cost and Efficiency

机译:大鼠功能性大脑网络中的Rich-Club组织以平衡沟通成本和效率

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摘要

Network analyses of structural connectivity in the brain have highlighted a set of highly connected hubs that are densely interconnected, forming a “rich-club” substrate in diverse species. Here, we demonstrate the existence of rich-club organization in functional brain networks of rats. Densely interconnected rich-club regions are found to be distributed in multiple brain modules, with the majority located within the putative default mode network. Rich-club members exhibit high wiring cost (as measured by connection distance) and high metabolic running cost (as surrogated by cerebral blood flow), which may have evolved to achieve high network communications to support efficient brain functions. Furthermore, by adopting a forepaw electrical stimulation paradigm, we find that the rich-club organization of the rat functional network remains almost the same as in the resting state, whereas path motif analysis reveals significant differences, suggesting the rat brain reorganizes its topological routes by increasing locally oriented shortcuts but reducing rich-club member-involved paths to conserve metabolic running cost during unimodal stimulation. Together, our results suggest that the neuronal system is organized and dynamically operated in an economic way to balance between cost minimization and topological/functional efficiency.
机译:对大脑中结构连接性的网络分析突出显示了一组高度互连的集线器,这些集线器相互紧密连接,形成了多种物种的“富俱乐部”底物。在这里,我们证明了大鼠功能性大脑网络中丰富俱乐部组织的存在。发现密集互连的富俱乐部区域分布在多个大脑模块中,其中大部分位于推定的默认模式网络内。富人俱乐部成员的布线成本高昂(通过连接距离来衡量),并且代谢运行成本高昂(可以通过脑血流量替代),这可能已经演变为实现高网络通信以支持有效的大脑功能。此外,通过采用前爪电刺激范例,我们发现大鼠功能网络的丰富俱乐部组织与静止状态几乎保持相同,而路径基序分析显示出显着差异,表明大鼠大脑通过以下方式重组了其拓扑路径增加了以本地为导向的捷径,但减少了富俱乐部会员参与的路径,以节省单峰刺激过程中的代谢运行成本。总之,我们的结果表明,神经元系统是以经济的方式组织和动态运行的,可以在成本最小化和拓扑/功能效率之间取得平衡。

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