Hi,
The film_gls utility is more general and complicated tool and so requires more inputs in general, but for this application it won't do anything beyond what fsl_glm is doing, so I would just use fsl_glm.
All the best,
Mark
On 14 Jan 2014, at 11:52, Jessica Jesser <[log in to unmask]> wrote:
> 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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