You have 4 classes and 2 variables, so you will have 4*(2+1)=12 regressors:
MTLE MExTLE FTLE FExTLE MTLEage MExTLEage FTLEage FExTLEage MTLEneuro MExTLEneuro FTLEneuro FExTLEneuro
You are interested in the diff between TLE and xTLE on the neuro score regressing out the effects of gender and age (right?), so this would be your contrast matrix [0 0 0 0 0 0 0 0 0.5 -0.5 0.5 -0.5]
On 11/14/19 1:51 AM, 邓刊 wrote:
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Dear freesurfer experts, we want to analyze the relationship between the cortical thickness and the neuropsychology regressing out the effects of gender and age, but I don't know how to make the design matrix? Is it [0.5 -0.5 0.5 -0.5 0 0 0 0 1 -1 1 -1 ] ?
Best wishes, Kan
At 2019-11-12 01:18:10, "Greve, Douglas N.,Ph.D." DGREVE@mgh.harvard.edu wrote:
yes, that looks right to me.
On 11/8/19 1:28 AM, 邓刊 wrote:
External Email - Use Caution Dear freesurfer users,
Dear freesurfer users, I have a question about the design matrix.We want to analyse the relationship between the cortical thickness and the neuropsychological test. We have two groups:TLE and extralTLE,one discrete variable:gender,and two continuous variable: neuropsychological test and age. we make the FSGD files like this: Title OSGM
Class MaleTLE
Class MaleextraTLE
Class FemaleTLE
Class FemaleexatrTLE
Variables Age Neuropsychology
Input subject1 MaleTLE 30 5
Input subject2 MaleextraTLE 40 6
Input subject3 FemaleTLE 50 8
Input subject4 FemaleLextraTLE 60 7
Is it right? And we want to analyze the relationship between the cortical thickness and the neuropsychology regressing out the effects of gender and age, how to make the design matrix? Look forward to your reply. Sincerely, Kan Deng
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