Modular and hierarchically modular organization of brain networks.
Modular and hierarchically modular organization of brain networks.
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DOI：
10.3389/fnins.2010.00200
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发表时间：
2010
影响因子：
4.3
通讯作者：
Bullmore ET
中科院分区：
文献类型：
--
作者：
Meunier D;Lambiotte R;Bullmore ET
大脑网络越来越多地被理解为一大类信息处理系统之一，它们共享重要的共同组织原则，包括模块化社区结构的属性。模块在拓扑上被定义为高度互连的节点的子集，这些节点相对稀疏地连接到其他模块中的节点。在大脑网络中，拓扑模块通常由解剖学上相邻和/或功能上相关的皮层区域组成，并且模块间的连接往往是相对较长的距离。此外，大脑网络和许多其他复杂系统表现出层次模块化的属性，或在几个拓扑尺度上的模块化：在每个模块内将有一组子模块，在每个子模块内有一组子子模块，等等。在这种情况下，我们回顾了一些数学概念可用于定量分析（层次）模块化的大脑网络，我们总结了一些最近的工作调查模块化的结构和功能的大脑网络来自分析人类神经影像数据。
Brain networks are increasingly understood as one of a large class of information processing systems that share important organizational principles in common, including the property of a modular community structure. A module is topologically defined as a subset of highly inter-connected nodes which are relatively sparsely connected to nodes in other modules. In brain networks, topological modules are often made up of anatomically neighboring and/or functionally related cortical regions, and inter-modular connections tend to be relatively long distance. Moreover, brain networks and many other complex systems demonstrate the property of hierarchical modularity, or modularity on several topological scales: within each module there will be a set of sub-modules, and within each sub-module a set of sub-sub-modules, etc. There are several general advantages to modular and hierarchically modular network organization, including greater robustness, adaptivity, and evolvability of network function. In this context, we review some of the mathematical concepts available for quantitative analysis of (hierarchical) modularity in brain networks and we summarize some of the recent work investigating modularity of structural and functional brain networks derived from analysis of human neuroimaging data.
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DOI：
10.1523/jneurosci.1929-08.2008
发表时间：
2008-09-10
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
Bassett DS;Bullmore E;Verchinski BA;Mattay VS;Weinberger DR;Meyer-Lindenberg A
通讯作者：
Meyer-Lindenberg A
影响因子：
5.3
作者：
Achard, S;Salvador, R;Bullmore, ET
通讯作者：
Bullmore, ET
影响因子：
4.3
作者：
Achard S;Bullmore E
通讯作者：
Bullmore E
DOI：
10.1073/pnas.95.24.14529
发表时间：
1998-11-24
影响因子：
11.1
作者：
Dehaene, S;Kerszberg, M;Changeux, JP
通讯作者：
Changeux, JP
影响因子：
5.7
作者：
Barabasi, Albert-Lashlo
通讯作者：
Barabasi, Albert-Lashlo