>From using isxconcat-sess to concatenate all of my subjects together, the 
>command creates binary masks called masks.nii and mask.nii, masks.nii being 
>all of the binary masks for each subject. Is this what I would use with 
>--frame-mask?


Thanks,

Sadie

________________________________
From: freesurfer-boun...@nmr.mgh.harvard.edu 
<freesurfer-boun...@nmr.mgh.harvard.edu> on behalf of Douglas Greve 
<gr...@nmr.mgh.harvard.edu>
Sent: Wednesday, July 5, 2017 7:28 PM
To: freesurfer@nmr.mgh.harvard.edu
Subject: Re: [Freesurfer] Subject with missing fMRI data


We don't have any tools to do imputation. It is possible to have a subject 
specific mask with the --frame-mask option to mri_glmfit. The frame mask must 
be the same size as the input (--y) with 1s and 0s to indicate whether a given 
voxel for a given subject should be included in the model. I've not been happy 
with this method as it can create some strange results as different voxels will 
now have different DOFs.

On 6/29/17 8:49 AM, Sadie Marvel wrote:

Hi List,


I am currently doing a group analysis of 26 subjects, one of which has missing 
fMRI data where the signal cuts off through parts of the occipital and temporal 
lobes. I was wondering if freesurfer has any way of dealing with this, such as 
multiple imputation, or other methods of filling the missing data. 
Alternatively, is there a way to only use the portions of the brain that have 
data when doing mri_glmfit? Does freesurfer do this automatically?


Thanks.



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