fslmerge and fslsplit
On Friday, September 16, 2011 16:33:05 you wrote:
> Thanks David, yes it makes sense....my question is how can i average the
> dr_stage2_subject
> files that are generated for each run, into a single dr_stage2 for each
> subject with the ICs as the 4th dimension......and how can I then split
> them in ICs to run randomise in the component that am interested....
> hope this is not much of a hassle..
> Cheers
>
> On Fri, Sep 16, 2011 at 8:25 PM, David V. Smith
<[log in to unmask]>wrote:
> > Hi David,
> >
> > Multiple runs complicates this a bit because it's not clear how to set up
> > a set of models that would correspond to analogous levels 1, 2, and 3 in
> > FEAT.
> >
> > At the end of the day, I think you'll need one row for each subject
> > (e.g., the average of their neural and behavioral data). I have had to
> > do something similar when dealing with multiple runs and dual regression
> > (
> > https://www.jiscmail.ac.uk/cgi-bin/webadmin?A2=ind1010&L=FSL&D=0&1=FSL&9=
> > A&J=on&d=No+Match%3BMatch%3BMatches&z=4&P=206089<https://www.jiscmail.ac.
> > uk/cgi-bin/webadmin?A2=ind1010&L=FSL&D=0&1=FSL&9=A&J=on&d=No+Match;Match;
> > Matches&z=4&P=206089>). For this, I ended up averaging the appropriate DR
> > output files (producing one file for each subject) and then running
> > randomise on the output that I created. When it's set up like this, I
> > think you'll see that the description on the "single-group average with
> > additional covariate" web page is better suited for your application.
> >
> > Make sense?
> >
> > Cheers,
> > David
> >
> >
> >
> > On Sep 16, 2011, at 2:55 PM, David Soto wrote:
> >
> > Hi David, to follow up on your suggestion of using .mat & .con files for
> > the single-Group Average with Additional Covariate in the
> > dual_regression......in my study each subject has 3 runs, so the filelist
> > that introduced for ICA and then dual-regression is
> > subj1run1
> > subj1run2
> > subj1run3
> > subj2run1
> > subj2run2
> > subj2run3
> > ...and so on
> >
> > so am guessing that to specify for dual regression the additional
> > covariate (namely the Stroop effect in RT) I should specify it for each
> > run, namely subj1run1 STROOP
> > subj1run2 STROOP
> > subj1run3 STROOP
> > subj2run1 STROOP
> > subj2run2 STROOP
> > subj2run3 STROOP
> > ...and so on
> >
> > just to confirm am understanding this?
> >
> > Thanks a lot, David
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