功能磁共振成像是在常规磁共振成像基础上发展起来的一种新的成像技术，利用功能磁共振成像技术可以对脑激活模式和脑功能连接进行分析。在脑激活模式分析中，独立成分分析是常用的分析方法之一；而在功能连接分析中，将检测到的脑区作为感兴趣区域，再用相关分析的方法对这些感兴趣区域进行脑功能连接分析。本论文将独立成分分析和相关分析两种算法集成在功能磁共振成像数据处理平台中，完成了对脑激活模式和脑功能连接的分析。

Functional magnetic resonance imaging has been developed into a new imaging technology. It can be used for analyzing brain activation and functional connectivity. Independent component analysis is a general way to achieve brain activation, which is often chosen as a region of interest. That calculation of the correlation coefficient based on the region of interest is related to the functional connectivity analysis. In this paper, independent component analysis and correlation analysis are integrated in the functional magnetic resonance imaging data processing platform which achieves brain activation and functional connectivity.