Dear Doug,
I'm performing a linear regression over one sample with a design matrix
including columns for one continuous-valued predictor whose effect on neural
measures I'm interested in testing, several covariates to adjust for
(continuous- or binary-valued such as age, sex, total intracranial
That looks right, though I'm not sure what is in the design matrix. Is
it a column of +1 and -1?
On 11/9/17 12:29 PM, Mehta, Chintan wrote:
Dear Doug,
I think that is essentially what I figured. Based on remarks in other
posts, my steps for evaluating laterality index entail applying:
(1
Dear Doug,
I think that is essentially what I figured. Based on remarks in other posts, my
steps for evaluating laterality index entail applying:
(1). Apply mri_preproc for each subject $SUB and $meas (area or thickness)
individually using -xhemi flag but without any paired differences via:
>
Sorry, caching is not possible with xhemi. You can just run the
mris_preproc command multiple times, one for each subject, specifing a
subject-specific output file for each. This is all that the -qcache
flag does anyway
On 11/08/2017 02:10 PM, Mehta, Chintan wrote:
>
> Dear FreeSurfer Users,
Dear FreeSurfer Users,
I'm using FreeSurfer version 6.0. I've processing subjects with recon-all and
performed surface-based interhemispheric registration (via Xhemi at
https://surfer.nmr.mgh.harvard.edu/fswiki/Xhemi).
I want to run a GLM on the subjects Area and Thickness from the differences
