人类解剖学脑网络的模块化组织：考虑布线成本
The modular organization of human anatomical brain networks: Accounting for the cost of wiring
摘要：
大脑网络应该是模块化的。然而，现有的技术，用于估计网络的模块，使其难以评估的组织原则，如布线成本降低对检测到的模块的影响。在这里，我们提出了一种修改现有的模块检测算法，使我们能够专注于连接，是意想不到的下，降低成本的布线规则，并确定模块从这些连接。我们将这种技术应用于解剖大脑网络，并表明我们检测到的模块与使用标准技术检测到的模块不同。我们证明，这些新的模块在空间上分布，表现出独特的功能指纹，并与丰富的俱乐部有很大的重叠，从而产生一个替代和补充的解释特定的大脑区域的功能作用。最后，我们证明，使用修改后的模块检测方法，我们可以检测模块的发展数据集，跟踪规范模式的成熟。总的来说，这些发现支持了大脑网络由模块组成的假设，并为这些模块的功能提供了额外的见解。
英文摘要：
Brain networks are expected to be modular. However, existing techniques for estimating a network's modules make it difficult to assess the influence of organizational principles such as wiring cost reduction on the detected modules. Here, we present a modification of an existing module detection algorithm that allows us to focus on connections that are unexpected under a cost-reduction wiring rule and to identify modules from among these connections. We apply this technique to anatomical brain networks and show that the modules we detect differ from those detected using the standard technique. We demonstrate that these novel modules are spatially distributed, exhibit unique functional fingerprints, and overlap considerably with rich clubs, giving rise to an alternative and complementary interpretation of the functional roles of specific brain regions. Finally, we demonstrate that, using the modified module detection approach, we can detect modules in a developmental dataset that track normative patterns of maturation. Collectively, these findings support the hypothesis that brain networks are composed of modules and provide additional insight into the function of those modules.
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