Ivy,
One way to do this would be to enter both 'before' and 'after treatment'
data into a design matrix at the first level of analysis, then create an
'after-before' contrast to evaluate the difference for each individual. At
the 2nd level (random effects analysis), use a 2-sample t-test to determine
whether the 'after-before' difference for the group of AD subjects is
different than that observed for the control subjects.
Hope this helps.
Doug
At 07:26 PM 5/24/2006 +0100, Ivy Estabrooke wrote:
>Hello, I hope someone can help.
>I have an encoding and recognition task that was performed by both patients
>with AD and normal controls, prior to drug treatment and after treatment.
>I am having trouble figuring out how to use SPM2 to analyze this data using
>contrasts from individual subjects. Is there a way to construct a random
>effects model that considers both the group and treatment variables but
>still allows a within subject design?
>Thanks,
>Ivy
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