Hi Iow,
What I really want is whole brain maps, similar to the data that I get before the stats. My aim is to have a map that show signal intensity for the whole brain an for each voxel. Then I can calculate the TSNR for the map and compare to then before correction.
I do not know whether the T-vale image will or the beta maps will do this and represent what I really want.
Thanks
AS
On 13 May 2013, at 21:13, Iwo Bohr <[log in to unmask]> wrote:
> Hi AS,
>
> You can basically do either two things:
> 1. estimate a model without you nuissance regressors (e.g. for residual motion efffects and others whatever they are ...): and then compare the outputs of the two models (a bit fiddly)
> or (less fiddly):
> 2. run a model treating nuissance regressors we they were of your interest; assigning 'ones' to them and setting others to '0'; this gives an idea where actually the effects of noises map to (for movement it should be concentrated around the brain edges).
>
> As far as I can remember these procedures are explained somwhere in the spm tutorial
>
> Hope this helps,
>
> Iwo
> ________________________________________
> From: SPM (Statistical Parametric Mapping) [[log in to unmask]] on behalf of fMRI [[log in to unmask]]
> Sent: 13 May 2013 20:36
> To: [log in to unmask]
> Subject: [SPM] Displaying images after correcting for noises
>
> Dear all,
>
> Is there any way that I can display/get functional images after correcting for movement and physiological noises. What I want is basically to compare and see the effects of them before and after correction. So for example if I add all the regressors in my GLM and count for them, I would like to extract my functional images again after these corrections. I hope I deliver my question clearly:)
>
>
> Thanks in advance
>
> AS
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