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
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