The Rich-Club Organization in Rat Functional Brain Network to Balance Between Communication Cost and Efficiency
The Rich-Club Organization in Rat Functional Brain Network to Balance Between Communication Cost and Efficiency
复制标题
大鼠功能脑网络中的丰富俱乐部组织平衡沟通成本和效率
DOI：
10.1093/cercor/bhw416
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发表时间：
2018-03-01
期刊：
影响因子：
3.7
通讯作者：
Yang, Yihong
中科院分区：
文献类型：
--
作者：
Liang, Xia;Hsu, Li-Ming;Yang, Yihong
对大脑结构连接性的网络分析强调了一组高度连接的中枢，这些中枢紧密互连，在不同物种中形成了“丰富俱乐部”基质。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。研究发现，密集互连的富人俱乐部区域分布在多个大脑模块中，其中大部分位于假定的默认模式网络内。富裕俱乐部成员表现出高布线成本（以连接距离衡量）和高代谢运行成本（以脑血流量替代），这可能已经进化到实现高网络通信以支持高效的大脑功能。此外，通过采用前爪电刺激范式，我们发现大鼠功能网络的丰富俱乐部组织几乎与静息状态相同，而路径主题分析显示出显着差异，表明大鼠大脑通过增加局部导向的捷径但减少丰富俱乐部成员参与的路径来重组其拓扑路线，以在单峰刺激期间节省代谢运行成本。总之，我们的结果表明神经元系统以经济的方式组织和动态运行，以在成本最小化和拓扑/功能效率之间取得平衡。
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.