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As long as you fed in the first level contrasts to this model the output
will be the difference.

Cheers,
Jeanette

On Wed, Mar 27, 2013 at 12:00 PM, Anders Hougaard <[log in to unmask]>wrote:

> Hi Jeanette,
>
>
> Thank you very much!
>
> I think I set the analysis up correctly (see the design attached) but
> the results does not look like the difference in activation between
> the to first-level results (which I guess it should?).
> Am I doing something wrong?
>
> Best,
> Anders
>
>
> 2013/3/27 Jeanette Mumford <[log in to unmask]>:
> > Hi,
> >
> > Calculate the paired differences in a within-subject, fixed effects
> second
> > level model.  Design matrix
> > 1 0
> > 0 1
> > contrast
> > 1 -1
> >
> > Repeat for all subjects and you have a single paired difference for each
> > subject that you can enter into your group model.  The group model will
> > include a column of 1s and age (mean centered).
> >
> > Cheers,
> > Jeanette
> >
> >
> > On Wed, Mar 27, 2013 at 10:14 AM, Anders Hougaard <[log in to unmask]>
> > wrote:
> >>
> >> Dear FSL experts,
> >>
> >>
> >> Consider this experiment:
> >>
> >> A group of subjects is scanned during some kind of stimulation before
> >> (condition A) and after (condition B) some kind of intervention.
> >>
> >> I want to know if there is a difference in the activation caused by
> >> the stimulation between condition A and condition B.
> >> For fMRI data this is easily set up in a paired design using FLAME.
> >>
> >> The next thing I want to know if a subject's age has an effect on how
> >> much the activation changes from condition A to B.
> >> Putting subject age into the design as a covariate would cause the
> >> design matrix to become rank deficient and generally would not make
> >> sense since we are looking at within-subject differences and all
> >> subjects have the same age before and after the intervention.
> >>
> >> How can I find out about the effect of age, or any other
> >> subject-specific parameter such as gender or handedness, in this case?
> >>
> >>
> >> All the best,
> >>
> >> Anders
> >
> >
>