静息状态下脑功能连接的磁共振成像研究

静息状态下脑功能连接的磁共振成像研究近年来取得了迅猛发展. 通过对fMRI信号低频涨落成分的同步性分析，可以得到大脑静息态任意脑区的功能连接和多套网络系统，其中“默认网络”的发现可能为人脑固有网络的研究提供新的思路. 而静息态网络与解剖连接之间可能存在的对应，以及在神经精神疾病患者脑中性质和连接的异常改变，使其具有重要的研究和临床应用价值. 该文总结了静息状态功能磁共振成像的主要研究成果，对静息状态脑功能网络的发现和发展、研究方法、各网络及其特点以及在临床方面的应用进行简单的介绍和分析.

Resting State Functional Connectivity in Brain Studied by fMRI Approach

Resting state functional connectivity has been studied extensively by functional magnetic resonance imaging (fMRI) approach. Synchronic low frequency fluctuations in resting state fMRI data are analyzed by different methods to measure functional connectivity between different brain regions. The most studied resting state brain network is the default mode network which might subserve basic brain functions related to consciousness. In this paper, the fMRI approach to study resting state brain functional connectivity is reviewed. The data analysis methods and the characteristics of the resting state networks are summarized. The relationship between the resting state networks and anatomical connectivity defined by white matter tracts is discussed.