关于一篇文章中ica选成分时用multiple regression去掉与白质脑脊液相关值比较高的成分的疑问

老师好： 最近看了一篇文章，文中有这么一句话：We employed standard methods of rejecting artifactual ICA networks. Network components were examined visually to eliminate those clearly representing artifacts, then spatially correlated to a priori probabilistic gray, white matter, and cerebrospinal fluid templates (in SPM2) with multiple regression; components having low associations (|beta|< .5) with gray matter and high association (|beta|>2) with white matter and cerebrospinal fluid were discarded. spm的multiple regression有这个功能吗？我看了下，貌似只能用图像和量表做相关不能两个图像做空间相关。不知道我理解的对不对。他这个我感觉还是在spm中做的，因为出现了beta值，虽然自己编程corr的话可以直接做空间相关，但是出来的是r值出不来beta值（当然，用regress函数可以出来beta值）。我就是想问下可以用spm直接得出来吗？ 谢谢，这个问题很困惑。