The development of human functional brain networks.
The development of human functional brain networks.
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DOI：
10.1016/j.neuron.2010.08.017
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发表时间：
2010-09-09
期刊：
影响因子：
16.2
通讯作者：
Petersen, Steven E.
中科院分区：
文献类型：
--
作者：
Power, Jonathan D.;Fair, Damien A.;Schlaggar, Bradley L.;Petersen, Steven E.
核磁共振技术的最新进展使精确测量整个大脑的相关活动成为可能，从而首次全面描述了人类的大脑功能网络。这篇文章回顾了从婴儿期到青春期，通过静息状态功能连接磁共振来衡量功能网络发育的文献。我们注意到描述大脑网络的传统方法的几个局限性，并描述了一个强大的分析网络的框架，称为图论。我们认为，大脑系统(例如，默认模式网络)的发展特征应该是全面的，不仅要考虑给定系统内的关系，而且要考虑这些关系如何位于更广泛的网络环境中。我们注意到，尽管功能连接进行了实质性的重组，但几个大规模的网络属性似乎在发育过程中得到了保留，这表明即使在儿童中，大脑功能网络的组织方式也类似于其他复杂系统。
Recent advances in MRI technology have enabled precise measurements of correlated activity throughout the brain, leading to the first comprehensive descriptions of functional brain networks in humans. This article reviews the growing literature on the development of functional networks, from infancy through adolescence, as measured by resting state functional connectivity MRI. We note several limitations of traditional approaches to describing brain networks, and describe a powerful framework for analyzing networks, called graph theory. We argue that characterization of the development of brain systems (e.g. the default mode network) should be comprehensive, considering not only relationships within a given system, but also how these relationships are situated within wider network contexts. We note that, despite substantial reorganization of functional connectivity, several large-scale network properties appear to be preserved across development, suggesting that functional brain networks, even in children, are organized in manners similar to other complex systems.
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