The discovery of population differences in network community structure: new methods and applications to brain functional networks in schizophrenia.
The discovery of population differences in network community structure: new methods and applications to brain functional networks in schizophrenia.
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DOI：
10.1016/j.neuroimage.2011.11.035
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发表时间：
2012-02-15
期刊：
影响因子：
5.7
通讯作者：
Bullmore, Edward T.
中科院分区：
文献类型：
--
作者：
Alexander-Bloch, Aaron;Lambiotte, Renaud;Roberts, Ben;Giedd, Jay;Gogtay, Nitin;Bullmore, Edward T.
大脑网络的模块化组织有两种基本方式。网络节点之间的模块内连接的数量可以改变，或者社区结构本身可以根据哪些节点属于哪些模块（或社区）而被扰动。先前已经报道了模块化的变化，模块化是网络中所有模块的模块内边缘比例的函数。例如，我们已经报道了精神分裂症患者功能性大脑网络的模块性降低：模块间边缘按比例增加，模块内边缘减少。然而，尽管对大脑模块化组织的研究越来越多，但尚不知道如何测试社区结构的差异，即，将区域节点分配给特定模块。在这里，我们介绍了一种基于模块化网络对之间的归一化互信息的方法，以显示在精神分裂症的大脑网络的社区结构显着改变，使用静息态功能磁共振成像在19名儿童期发作的精神分裂症和20名健康参与者。我们还开发了工具来显示哪些特定节点（或大脑区域）在组之间具有显着不同的模块化社区，该子集包括右岛叶和侧裂周皮质区域。我们提出的方法广泛适用于其他实验环境，无论是在神经成像和网络科学的其他领域。
The modular organization of the brain network can vary in two fundamental ways. The amount of interversus intra-modular connections between network nodes can be altered, or the community structure itself can be perturbed, in terms of which nodes belong to which modules (or communities). Alterations have previously been reported in modularity, which is a function of the proportion of intra-modular edges over all modules in the network. For example, we have reported that modularity is decreased in functional brain networks in schizophrenia: There are proportionally more inter-modular edges and fewer intra-modular edges. However, despite numerous and increasing studies of brain modular organization, it is not known how to test for differences in the community structure, i.e., the assignment of regional nodes to specific modules. Here, we introduce a method based on the normalized mutual information between pairs of modular networks to show that the community structure of the brain network is significantly altered in schizophrenia, using resting-state fMRI in 19 participants with childhood-onset schizophrenia and 20 healthy participants. We also develop tools to show which specific nodes (or brain regions) have significantly different modular communities between groups, a subset that includes right insular and perisylvian cortical regions. The methods that we propose are broadly applicable to other experimental contexts, both in neuroimaging and other areas of network science.
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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
DOI：
10.1088/1742-5468/2005/09/p09008
发表时间：
2005-09-01
影响因子：
2.4
作者：
Danon, L;Díaz-Guilera, A;Arenas, A
通讯作者：
Arenas, A
影响因子：
17.7
作者：
Curtis, VA;Bullmore, ET;McGuire, PK
通讯作者：
McGuire, PK
DOI：
10.1145/357195.357200
发表时间：
1983-01-01
影响因子：
1.3
作者：
GALLAGER, RG;HUMBLET, PA;SPIRA, PM
通讯作者：
SPIRA, PM
影响因子：
3.7
作者：
Chen, Zhang J.;He, Yong;Evans, Alan C.
通讯作者：
Evans, Alan C.