HI,
I think you got a very straightforward answer: use fsl_glm. FEAT will _not_ do what you want, the filtered_func_data is the original data after pre-processing but before nuisance regression.
hth
Christian
On 10 Apr 2014, at 19:11, Kaoru Nashiro <[log in to unmask]> wrote:
> Dear Christian,
>
> I am a fsl user and haven't been able to find the answer to my question (I tried fsl list but didn't get a straightforward answer) and was wondering if you could kindly help me with this.
>
> I ran FEAT in order to do preprocessing on individual resting data (MCFLIRT, BET, Spatial smoothing, highpass and lowpass filtering) as well as regressing out nuisance signals. Can I assume that filtered_func in the resulting feat folder is the data after nuisance signals removed (thus can be used in the further analysis)?
>
> thank you,
> Kaoru
>
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