GAT: a graph-theoretical analysis toolbox for analyzing between-group differences in large-scale structural and functional brain networks.
GAT: a graph-theoretical analysis toolbox for analyzing between-group differences in large-scale structural and functional brain networks.
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DOI：
10.1371/journal.pone.0040709
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发表时间：
2012
期刊：
影响因子：
3.7
通讯作者：
Kesler SR
中科院分区：
文献类型：
--
作者：
Hosseini SM;Hoeft F;Kesler SR
近年来，对神经成像数据的图论分析增加了我们对大规模结构和功能大脑网络的组织的理解。然而，目前还缺乏图论流水线应用于脑网络拓扑分析的工具。在这份报告中，我们描述了一个图形分析工具箱(GAT)的开发，它有助于分析和比较结构和功能网络的大脑网络。GAT提供图形用户界面(GUI)，便于构建和分析大脑网络，比较网络之间的区域和全局拓扑属性，分析网络集线器和模块，以及分析网络对随机故障和目标攻击的弹性。曲线下面积(AUC)和功能数据分析(FDA)结合排列测试用于测试网络拓扑的差异；对阈值过程不太敏感的分析。我们通过研究急性淋巴细胞性白血病(ALL)幸存者和健康对照组(CON)在区域灰质相关网络组织上的差异来证明GAT的能力。结果显示，所有幸存者的大脑网络的小世界特征都发生了变化；这一观察结果证实了我们的假设，即所有幸存者都受到了广泛的神经生物学损伤。随着GAT能力的展示，这是第一个关于所有幸存者的大规模结构网络改变的报告。
In recent years, graph theoretical analyses of neuroimaging data have increased our understanding of the organization of large-scale structural and functional brain networks. However, tools for pipeline application of graph theory for analyzing topology of brain networks is still lacking. In this report, we describe the development of a graph-analysis toolbox (GAT) that facilitates analysis and comparison of structural and functional network brain networks. GAT provides a graphical user interface (GUI) that facilitates construction and analysis of brain networks, comparison of regional and global topological properties between networks, analysis of network hub and modules, and analysis of resilience of the networks to random failure and targeted attacks. Area under a curve (AUC) and functional data analyses (FDA), in conjunction with permutation testing, is employed for testing the differences in network topologies; analyses that are less sensitive to the thresholding process. We demonstrated the capabilities of GAT by investigating the differences in the organization of regional gray-matter correlation networks in survivors of acute lymphoblastic leukemia (ALL) and healthy matched Controls (CON). The results revealed an alteration in small-world characteristics of the brain networks in the ALL survivors; an observation that confirm our hypothesis suggesting widespread neurobiological injury in ALL survivors. Along with demonstration of the capabilities of the GAT, this is the first report of altered large-scale structural brain networks in ALL survivors.
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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：
5.7
作者：
Bassett, Danielle S.;Nelson, Brent G.;Mueller, Bryon A.;Camchong, Jazmin;Lim, Kelvin O.
通讯作者：
Lim, Kelvin O.
DOI：
10.1146/annurev-clinpsy-040510-143934
发表时间：
2011-01-01
影响因子：
18.4
作者：
Bullmore, Edward T.;Bassett, Danielle S.
通讯作者：
Bassett, Danielle S.
影响因子：
3.7
作者：
Chen, Zhang J.;He, Yong;Evans, Alan C.
通讯作者：
Evans, Alan C.