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{margin-bottom:0cm;} --> Dear Freesurfers,
My experimental design includes 2 discrete factors and 3 continuous variables:
Discrete factors:
- Diagnosis with three levels (A, B, C)
- Gender with two levels (Males, Females)
Continuous variables:
- Mean cortical thickness in the left hemisphere (CTLH)
- Age
- Performance in a memory test (TASK)
The FSGD file would be as follows:
GroupDescriptorFile 1
Title Thickness-subj
Class AMale
Class AFemale
Class BMale
Class BFemale
Class CMale
Class CFemale
variables ZCTLH ZAGE
Input control_01 AMale -1.04398 0.24789
Input control_02 AMale 1.22853 -0.72343
Input control_03 AFemale .13773 -1.37097
Input control_04 AFemale .41043 0.24789
Input mci_01 BMale -.77128 0.24789
Input mci_02 BMale -2.40749 0.73354
Input mci_03 BFemale -.86218 -1.0472
Input mci_04 BFemale .50133 0.23777
Input ad_01 CMale -.75678 0.22789
Input ad_02 CMale -2.88749 0.63047
Input ad_03 CFemale -.96015 -1.4452
Input ad_04 CFemale .80712 -0.37567 …
We are assuming different offsets and different slopes (DDOS).
The following contrast would test the null hypothesis whether there is a
difference between B and C (T-test) regressing out the effect of the remaining
variables.
0 0 0.5 0.5 -0.5 -0.5 0 0 0 0 0 0 0 0 0 0 0 0
Could you help me to build the contrast for testing interactions in the above
experimental design? In the FSwiki examples, you add one column when you have
two factors with two levels each, and one continuous variable. I am not sure
how many columns should I add in our particular case and why.
Null hypothesis: is there an interaction between diagnosis (B > C) and gender
regressing out the two remaining variables? Assuming that you add one column
per variable that is regressed out, the contrast would be as follows:
0 0 0.5 0.5 -0.5 -0.5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Is this correct? Any help will be very appreciated.
Many thanks in advance.
Best regards,
Jose
---
Jose L. Cantero, Ph.D.
Laboratory of Functional Neuroscience
Department of Physiology, Anatomy and Cell Biology
University Pablo de Olavide
Ctra. de Utrera, Km.1
41013 - Seville
- Spain -
Phone: +34 954 977433
Fax: +34 954 349151
Email: jlcan...@upo.es
http://www.upo.es/neuroaging/en/
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