CIML Group, Institute of Biophysics, University of Regensburg, 93040 Regensburg, Germany.
Comput Intell Neurosci. 2012;2012:412512. doi: 10.1155/2012/412512. Epub 2012 Oct 11.
This short survey the reviews recent literature on brain connectivity studies. It encompasses all forms of static and dynamic connectivity whether anatomical, functional, or effective. The last decade has seen an ever increasing number of studies devoted to deduce functional or effective connectivity, mostly from functional neuroimaging experiments. Resting state conditions have become a dominant experimental paradigm, and a number of resting state networks, among them the prominent default mode network, have been identified. Graphical models represent a convenient vehicle to formalize experimental findings and to closely and quantitatively characterize the various networks identified. Underlying these abstract concepts are anatomical networks, the so-called connectome, which can be investigated by functional imaging techniques as well. Future studies have to bridge the gap between anatomical neuronal connections and related functional or effective connectivities.
本短文综述了近期关于脑连接研究的文献。它涵盖了所有形式的静态和动态连接，无论是解剖学的、功能的还是有效的。过去十年，越来越多的研究致力于推断功能或有效连接，这些研究主要来自于功能神经影像学实验。静息状态条件已成为主要的实验范式，并且已经确定了许多静息状态网络，其中包括突出的默认模式网络。图形模型是形式化实验结果并紧密和定量地描述所确定的各种网络的便捷工具。在这些抽象概念的背后是解剖网络，即所谓的连接组，可以通过功能成像技术进行研究。未来的研究必须弥合解剖学神经元连接与相关功能或有效连接之间的差距。
