Regress covariates with DPARSF

Submitted by Giulia_forcellini on

Dear all, 

Thank you for the great toolbox. I am new at using DPARSF and I am still trying to familiarize with it. 

Specifically, I would need to regress out from my resting state data WM and CSF signals. I did all the preprocessing with SPM12, and used DPARSF to regress out nuisance covariates from my normalized images. Everything worked fine, I just have a doubt about  the output. I get txt files for each subjects, with 5 columns. My question is, as I am regressing out only the WM and CSF signals, what do the other columns of the  txt files represent? Which are the columns related to WM and CSF? I wanted to merge this txt file with my movement parameters file (obtained with SPM), but as I am not sure of their meaning I do not know how to proceed with this. Moreover, are the 4D CovRegressed volumes the input I should be using for my functional connectivity analysis? Or should I subtract those from the  normalized volumes?  

Thank you very much!

Best, 

Giulia

YAN Chao-Gan

Wed, 03/22/2017 - 01:38

Hi,

1. Please see http://rfmri.org/content/covariable-file. The last to columns are WM and CSF.

2. 4D CovRegressed are the 4d residual after regression. You can input them to functional connectivity analysis.