Hi, all,
While working on gyrification data using Freesurfer, I have a question to confirm one of output files. First, I did run mri_glmfit using age x IQ itneraction. fsgd file in which I included intracranial volume and gender to covary out. then, I am running mri_glmfit-sim for age x IQ interaction using the following commands;
mri_glmfit-sim --glmdir lh.ageIQ.glmdir --cache 3 abs --cwp 0.05 --2spaces
After running simulation, I see there are several output files. Especially, I have a question about "*cache.th30.abs.y.ocn.dat*" *my question is whether these values are raw values of lgi or residualized values? *
I think that these values in "cache.th30.abs.y.ocn.dat" refers to raw, non-residualized values of local gyrification index. so I extract those vales into SPSS and covaried out by running regression with ICV and gender as covariates. but I want to confirm whether my understanding is correct. Anyone who used this can confirm?
Many thanks in advance!!
Best, Yu Sun
On 6/8/16 9:51 AM, Yu Sun Chung wrote:
Hi, all,
While working on gyrification data using Freesurfer, I have a question to confirm one of output files. First, I did run mri_glmfit using age x IQ itneraction. fsgd file in which I included intracranial volume and gender to covary out. then, I am running mri_glmfit-sim for age x IQ interaction using the following commands;
mri_glmfit-sim --glmdir lh.ageIQ.glmdir --cache 3 abs --cwp 0.05 --2spaces
After running simulation, I see there are several output files. Especially, I have a question about "*cache.th30.abs.y.ocn.dat*" *my question is whether these values are raw values of lgi or residualized values?
*Those are raw values (or whatever you input as the --y input to mri_glmfit).*
I think that these values in "cache.th30.abs.y.ocn.dat" refers to raw, non-residualized values of local gyrification index. so I extract those vales into SPSS and covaried out by running regression with ICV and gender as covariates. but I want to confirm whether my understanding is correct. Anyone who used this can confirm?
Many thanks in advance!!
Best, Yu Sun
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