EV1 EV2 - EV7 (one EV for each subject)
Input 1 (subject 1, condition A, pre) 1
Input 2 (subject 2, condition A, pre) 1
Input 3 (subject 3, condition A, pre) 1
Input 4 (subject 4, condition A, pre) 1
Input 5 (subject 5, condition A, pre) 1
Input 6 (subject 6, condition A, pre) 1
Input 7 (subject 1, condition A, post) -1
Input 8 (subject 2, condition A, post) -1
Input 9 (subject 3, condition A, post) -1
Input 10 (subject 4, condition A, post) -1
Input 11 (subject 5, condition A, post) -1
Input 12 (subject 6, condition A, post) -1
I hope this makes sense...
Thanks
On Wed, Jun 1, 2011 at 1:14 AM, Stephen Smith
<[log in to unmask]> wrote:
Hi - see the FEAT and randomise manuals - this is a standard paired t-test design that you can setup with the Glm GUI and then use that saved design when running randomise.
Steve.
On 31 May 2011, at 21:48, Amy wrote:
Hi all,
I have 6 subjects scanned twice under 2 different conditions. Within each condition (each scan), subjects underwent a pre-intervention and a post-intervention resting state fmri. I want to run dual regression comparing the 2 different conditions to see if there are any significant differences. However, I am not sure how to set up the design in the glm. If I want to compare Condition A's post-pre to Condition B's post-pre, how would I set that up? Using the FEAT, I can run multiple higher level analyses using the COPE images, but with the model-free resting state analysis, I'm not sure I can find an option like that. I'd greatly appreciate it if anyone has any ideas on how I can do this. Thanks!
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Stephen M. Smith, Professor of Biomedical Engineering
Associate Director, Oxford University FMRIB Centre
FMRIB, JR Hospital, Headington, Oxford OX3 9DU, UK
+44 (0) 1865 222726 (fax 222717)
[log in to unmask] http://www.fmrib.ox.ac.uk/~steve
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