The human connectome: a complex network
The human connectome: a complex network
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DOI：
10.1111/j.1749-6632.2010.05888.x
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发表时间：
2011-01-01
期刊：
影响因子：
--
通讯作者：
Sporns, Olaf
中科院分区：
文献类型：
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作者：
Sporns, Olaf
人脑是一个复杂的网络。理解此类网络功能的重要第一步是映射其元素和连接，以创建网络架构的全面结构描述。本文回顾了当前生成人类大脑网络图（人类连接组）的实证工作，并探讨了连接组如何为大脑结构连接的组织及其在塑造功能动力学中的作用提供新的见解。从非侵入性神经成像获得的结构连接的网络研究揭示了许多高度非随机的网络属性，包括高聚类和模块化以及高效率和短路径长度。这些属性的组合同时促进了模块化小世界架构内的高度专业化和高度集成。结构网络和功能网络具有一些相同的特征，尽管它们的关系是复杂和非线性的。未来对人类连接组的研究将极大地扩展我们对健康、发育、衰老和患病大脑的网络拓扑和动力学的了解。
The human brain is a complex network. An important first step toward understanding the function of such a network is to map its elements and connections, to create a comprehensive structural description of the network architecture. This paper reviews current empirical efforts toward generating a network map of the human brain, the human connectome, and explores how the connectome can provide new insights into the organization of the brain's structural connections and their role in shaping functional dynamics. Network studies of structural connectivity obtained from noninvasive neuroimaging have revealed a number of highly nonrandom network attributes, including high clustering and modularity combined with high efficiency and short path length. The combination of these attributes simultaneously promotes high specialization and high integration within a modular small-world architecture. Structural and functional networks share some of the same characteristics, although their relationship is complex and nonlinear. Future studies of the human connectome will greatly expand our knowledge of network topology and dynamics in the healthy, developing, aging, and diseased brain.