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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的富人俱乐部组织在通信成本与效率之间平衡

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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:大脑中结构连通性的网络分析突出显示了一组高度连接的集线器,这些中心是密集的相互连接的,在不同的物种中形成“富杆杆”衬底。在这里,我们展示了大鼠功能性脑网络中的富人俱乐部组织的存在。发现密集互连的富杆区区域将分布在多个脑模块中,其中大多数位于推定的默认模式网络中。 Rich-Club构件表现出高布线成本(通过连接距离测量)和高代谢运行成本(如脑血流的代理),这可能已经发展以实现高网络通信以支持高效的大脑功能。此外,通过采用盗版电刺激范式,我们发现大鼠功能网络的富人俱乐部组织与静止状态几乎相同,而路径基序分析揭示了显着的差异,表明RAT大脑重新组织其拓扑路线增加局部面向的捷径,但减少了富人的俱乐部成员涉及的路径,以在单峰刺激期间保护代谢运行成本。我们的结果表明,神经元系统是以经济方式组织和动态运作,以在成本最小化和拓扑/功能效率之间平衡。

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