Hi Anderson,
Thank you for your answer and suggestions. Anyway, since I would like to
compare different methods for physiologicl noise correction I'd like to
get a "clean" dataset. In this case, the final data on which I should
work is the sum of res4d.nii + mean_func.nii, isn't it?
Best regards,
Marzia
Il 2017-02-16 12:08 Anderson M. Winkler ha scritto:
> Hi Marzia,
>
> Yes, it would be the res4d. However, it is better to include the
> physiological regressors in the same GLM that will have the HRF, i.e.,
> use these as nuisance in a single GLM, as opposed to running twice.
>
> All the best,
>
> Anderson
>
> On 16 February 2017 at 10:33, Marzia Restuccia
> <[log in to unmask]> wrote:
>
>> Dear FSL experts,
>>
>> I am a new FSL user and I'm performing a study on the physiological
>> noise correction on task-based fMRI data. I run a GLM containing as
>> EVs only some physiological regressors of interest, and not the
>> stimulus time course convolved with the HRF. I would like now to use
>> the results of the GLM fitting to 'remove' from my original data the
>> noise related with these EVs, so that I can then run on the clean
>> data a GLM containing as EV only the stimulus time-course convolved
>> with the HRF.
>>
>> My doubt is: how should I correct the original data with the results
>> from the model fitting? Is my clean dataset the res4d.nii file?
>>
>> Thank you in advance!
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