Italian Institute of Technology, Center for Nanotechnology Innovation, IIT@NEST, Piazza San Silvestro 12, Pisa, Italy.
Magn Reson Imaging. 2010 Oct;28(8):1200-9. doi: 10.1016/j.mri.2010.07.001. Epub 2010 Sep 1.
Functional connectivity analyses of fMRI data can provide a wealth of information on the brain functional organization and have been widely applied to the study of the human brain. More recently, these methods have been extended to preclinical species, thus providing a powerful translational tool. Here, we review methods and findings of functional connectivity studies in the rat. More specifically, we focus on correlation analysis of pharmacological MRI (phMRI) responses, an approach that has enabled mapping the patterns of connectivity underlying major neurotransmitter systems in vivo. We also review the use of novel statistical approaches based on a network representation of the functional connectivity and their application to the study of the rat brain functional architecture.
功能磁共振成像 (fMRI) 数据的功能连接分析可以提供大量关于大脑功能组织的信息,并已广泛应用于人类大脑的研究。最近,这些方法已经扩展到临床前物种,从而提供了一种强大的转化工具。在这里,我们回顾了在大鼠中进行功能连接研究的方法和发现。更具体地说,我们专注于药物磁共振成像 (phMRI) 反应的相关分析,这种方法能够在体内绘制主要神经递质系统的连接模式图。我们还回顾了基于功能连接的网络表示的新型统计方法的应用及其在大鼠大脑功能架构研究中的应用。