Yes, though I might demean all the covariates. For thickness, you can run mri_glmfit --surf fsaverage lh --y lh.thickness_20.fsavg.mgh --osgm --eres-save --o thickness-demean then use thickness-demean/eres.mgh as the PVR

On 2/20/2020 9:13 AM, Raffaele Dubbioso wrote:

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Dear FS team,

in my analysis I'd like to correlate two variables such as cortical myelination and neurophysiological metrics, regressing-out thickness and age of the subjects. I have only one group. My FSGD file should be:

GroupDescriptorFile 1 Title NF_Myelin Class Main Variables NF  age Input fs_VF Main 1.57  46 Input fs_RF Main 1.5    22 Input fs_SE Main 1.09  30 .....

My intercet2.mtx should be: 10  0  0 My slope2.mtx should be: 0 1  0  0

This is my line command: mri_glmfit --y rh.t1t2ratio_20_fmed_3sm_decurv.fsavg.mgh --fsgd T1T2_NF_AGE_HS.fsgd --pvr lh.thickness_20.fsavg.mgh --C intercept2.mtx --C slope2.mtx --surf fsaverage lh --o lh_NF_AGE_T1T2_thickness

Is everything ok?

Thanks a lot Raf

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