Hi Doug,
Now I am able to convert .dfs files to freesurfer readable files (although I am not sure what is the format of the file, but now I can view it in Freeview). The command I used was write_surf.
Basically I want to get a significance thickness map to see the regions that make contribution to the GLM model. My dependent variable is the learning outcome of a second language. My independent variable include the thickness and one test score (word reading efficiency). In the meanwhile we have to exclude IQ score and age in the model.
To achieve this goal, the followings should be done:
1. Convert all my .dfs files and get each subject's thickness and get average subject thickness using "
make_average_subject"
2. convert this average to mgh file format (how to do this)?
3. and run my own monte carlo using "mri_mcsim " to the average subject.
4. after 3 run "mri_glmfit-sim"
5. using qdec to build my GLM model : y= training outcome, x=thickness and cognitive scores, excluding age and IQ as covariates.
Could you please give me some suggestions on whether this looks like the right procedure? Thanks.
Miao