Hi,

I’m not sure if this is what you’re looking for but this is the command I ran:

/autofs/space/fatfriar_002/cluster/iaslab/NMASA/mri/func/encoding/adebayo/mri_glmfit --y ces.nii.gz --wls cesvar.nii.gz --fsgd /autofs/space/fatfriar_001/cluster/iaslab/NMASA/mri/func/encoding/adebayo/allVfix/fsgd_files/All_n109_NEUT_dassoc --surface fsaverage lh --glmdir glm_AvF_vs_dassoc_R --nii.gz --C /autofs/space/fatfriar_001/cluster/iaslab/NMASA/mri/func/encoding/adebayo/allVfix/group_contrasts/1_group_1cov_slope.group.m

And this is what’s in the output directory:

C.dat
cnr.nii.gz
efficiency.dat
F.nii.gz
gamma.nii.gz
gammavar.nii.gz
maxvox.dat
sig.nii.gz
z.nii.gz




Thanks,
Keji


---
Morenikeji Adebayo
Junior Research Fellow
Department of Psychiatric Neuroscience
Massachusetts General Hospital
(p) 617.643.6347
keji@nmr.mgh.harvard.edu



On Nov 29, 2016, at 1:39 PM, Douglas N Greve <greve@nmr.mgh.harvard.edu> wrote:

what is your command line and terminal output?


On 11/29/2016 01:24 PM, Morenikeji Adebayo wrote:
Hi there,

The new mri_glmfit script that I was directed to doesn’t create a file 
called “pcc.mgh.”  It does create a file called “z.nii.gz” (as far as 
I can tell this file is the only difference between the old and new 
mri_glm fit scripts).

Is there another script that I should be using to generate the Pearson 
correlation maps?

Thanks!
Keji

---
Morenikeji Adebayo
Junior Research Fellow
Department of Psychiatric Neuroscience
Massachusetts General Hospital
(p) 617.643.6347
keji@nmr.mgh.harvard.edu <mailto:keji@nmr.mgh.harvard.edu>




On Nov 17, 2016, at 6:48 PM, Morenikeji Adebayo 
<keji@nmr.mgh.harvard.edu <mailto:keji@nmr.mgh.harvard.edu>> wrote:

Thanks, Doug!! I’ll give it a whirl.

On Nov 17, 2016, at 6:40 PM, Douglas N Greve 
<greve@nmr.mgh.harvard.edu <mailto:greve@nmr.mgh.harvard.edu>> wrote:

Use this version of mri_glmfit. It will create a file called pcc.mgh.
This is the partial correlation coefficient

https://gate.nmr.mgh.harvard.edu/safelinks/greve/mri_glmfit



On 11/17/2016 06:20 PM, Morenikeji Adebayo wrote:
Hello Freesurfers,

I'm interested in creating a group map where each vertex 
represents the correlation (as a correlation coefficient) between 
a task-related BOLD contrast value (ces.nii.gz) and a single 
covariate. This is analogous to a cortical thickness GLM with one 
group and one covariate, but I'd want an r-map instead of a 
sig-map. How might I accomplish this? It appears that mri_glmfit 
generates sig-maps, gamma-maps, etc, but not r-maps.



Thanks in advance,
Keji



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-- 
Douglas N. Greve, Ph.D.
MGH-NMR Center
greve@nmr.mgh.harvard.edu <mailto:greve@nmr.mgh.harvard.edu>
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-- 
Douglas N. Greve, Ph.D.
MGH-NMR Center
greve@nmr.mgh.harvard.edu
Phone Number: 617-724-2358
Fax: 617-726-7422

Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2
www.nmr.mgh.harvard.edu/facility/filedrop/index.html
Outgoing: ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/

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