Dear FSLers,
for a connectivity analysis of a rfMRI dataset we'd like to regress out the CSF and white matter signal.
Using a web search we found two different approaches to do that:
fsl_glm (https://www.jiscmail.ac.uk/cgi-bin/webadmin?A2=ind1306&L=fsl&D=0&1=fsl&9=A&I=-3&J=on&d=No+Match%3BMatch%3BMatches&z=4&P=565712)
film_gls (http://www.mit.edu/~satra/nipype-nightly/users/examples/rsfmri_fsl.html)
Why does film_gls compared to fsl_glm need so many inputs? What is the benefit of using film_gls resp. the difference between the two?
Thank you and Cheers,
Jessica
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