Dear all,
I want to design a group t-test analysis and correlation analysis for pial thickness. I have read the PPT of freesurfer.groupanalysis, and I wrote a specific design matrix and contrast for my data. However it is the first time that I design matrix in fsgdf by freesurfer. I didnot confirm whether I wrote is correct. I need someone to help me review it.
I have two groups, four groups were classified as sex.(Is this necessary or correct?)
Here is my design matrix in fsgdf for 2 group t-test:
GroupDescriptorFile 1
Title lh_ttest
Class con_male
Class con_female
Class pat_male
Class pat_female
Variables Age edu
Input subjid1 con_male 19 10
Input subjid2 con_male 20 20
Input subjid3 con_male 20 20
Input subjid4 con_male 19 10
Input subjid5 con_female 20 20
Input subjid6 con_female 20 20
Input subjid7 con_female 19 10
Input subjid8 pat_male 20 20
Input subjid9 pat_male 20 20
Input subjid10 pat_male 19 10
Input subjid11 pat_female 20 20
Input subjid12 pat_female 20 20
DefaultVariable Age
In this section, I just want to compare the patient group(class 3 and 4) and control group(class 1 and 2) in thickness controling the age and education by ANCOVA. Does this fsgdf implement ANCOVA?
Here is my contrast for this:
0.5 0.5 -0.5 -0.5 0 0 0 0 0 0 0 0
Here is my design matrix in fsgdf for partial regression:
GroupDescriptorFile 1
Title lh_regression
Class con_male
Class con_female
Class pat_male
Class pat_female
Variables Age edu score1 score2
Input subjid1 con_male 19 10 20 30
Input subjid2 con_male 20 20 20 30
Input subjid3 con_male 20 20 20 30
Input subjid4 con_male 19 10 20 30
Input subjid5 con_female 20 20 20 30
Input subjid6 con_female 20 20 20 30
Input subjid7 con_female 19 10 20 30
Input subjid8 pat_male 20 20 20 30
Input subjid9 pat_male 20 20 20 30
Input subjid10 pat_male 19 10 20 30
Input subjid11 pat_female 20 20 20 30
Input subjid12 pat_female 20 20 20 30
DefaultVariable score1
In this section, I want to implement partial regression analysis(i.e. score1 and score2) by controling the age,edu and sex.
Here is my contrast for score1:
0 0 0 0 0 0 0 0 0 0 0 0 0.25 0.25 0.25 0.25 0 0 0 0
Here is my contrast for score2:
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.25 0.25 0.25 0.25
Any reply will be highly appreciated.
Thanks.
All the best.
2013-12-17
Rujing Zha