Reply-To: |  | [log in to unmask][log in to unmask]> wrote:
>>
>>> I agree that nuisance covariates, such as motion should be removed;
>>> however, motion covariates are not generally stored in X0 in my
>>> reading of the SPM code (spm_fMRI_design, spm_regions). They should be
>>> removed in the spm_regions filtering based on the null-space of the
>>> contrast.
>>>
>>> As for the motion parameters being in the model, if they were in the
>>> standard analysis, they should be included in the PPI analysis. My
>>> gPPI code will do this automatically as well.
>>>
>>> X0 is made of SPM.xX.iB (block effects -- so removing the mean) and
>>> SPM.xX.iG (nuisance variable that is empty as far as I can tell (line
>>> 369 of spm_fMRI_design)) and the high-pass filtering (K.X0).
>>>
>>> Best Regards, Donald McLaren
>>> =================
>>> D.G. McLaren, Ph.D.
>>> Postdoctoral Research Fellow, GRECC, Bedford VA
>>> Research Fellow, Department of Neurology, Massachusetts General
>>> Hospital and Harvard Medical School
>>> Office: (773) 406-2464
>>> =====================
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>>>
>>> On Wed, May 4, 2011 at 10:16 PM, Alex Fornito <[log in to unmask]>
>>> wrote:
>>>> Hi Donald,
>>>> Thanks for your response. When you say "you don't want
>>>> to filter out anything related to neural activity", I'm presuming that you
>>>> are referring to the deconvolved neural signal?
>>>>
>>>> If so, that makes sense. However, X0 also contains user-specified nuisance
>>>> covariates. I would have thought it would make sense to remove those,
>>>> depending on what they were (e.g., movement parameters)? I guess they can
>>>> always be entered into the PPI regression model...
>>>>
>>>>
>>>> On 05/05/2011 11:57, "MCLAREN, Donald" <[log in to unmask]> wrote:
>>>>
>>>>> I could be wrong, Karl or Dar%Â\:p |
