Clayden Jonathan D
Funct Neurol. 2013 Jul-Sep;28(3):197-203.
Magnetic resonance imaging (MRI) is a flexible and widely available neuroimaging technique. Structural MRI and diffusion MRI, in particular, provide information about connectivity between brain regions which may be combined to obtain a picture of entire neural networks, or the so-called connectome. In this review we outline the principles of MR-based connectivity analysis, discuss what relevant information it can provide for clinical and non-clinical neuroscience research, and outline some of the outstanding needs which future work will aim to meet.
磁共振成像(MRI)是一种灵活且广泛应用的神经成像技术。特别是结构MRI和扩散MRI,可提供有关脑区之间连接性的信息,这些信息可以结合起来以获得整个神经网络的图像,即所谓的连接组。在本综述中,我们概述了基于磁共振的连接性分析原理,讨论了其可为临床和非临床神经科学研究提供哪些相关信息,并概述了未来工作旨在满足的一些突出需求。