History of AFNI updates  

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February 17, 2016 11:24AM
HI, Rick,

Thank you very much for your suggestion. I do not use afni_proc.py or uber_subject.py to analyze the single subject data. But I have the brainmask for each subject. Does it mean the input should be the group_based mask? Then what I should use for the input? I guess that the input consists of all the subjects individual masks. Am I correct?

For my case, each subject has the corresponding structure file, such as: subj1_Brainmask+tlrc. subj2_Brainmask+tlrc. subj3_Brainmask+tlrc. I do not know how to use them as the input....

Any good pointers?

Thank you very much
-j
Subject Author Posted

FATAL ERROR: -mask doesn't match datasets number of voxels

Juan February 14, 2016 04:55PM

Re: FATAL ERROR: -mask doesn't match datasets number of voxels

Juan February 14, 2016 05:07PM

Re: FATAL ERROR: -mask doesn't match datasets number of voxels

rick reynolds February 17, 2016 08:55AM

Re: FATAL ERROR: -mask doesn't match datasets number of voxels

Juan February 17, 2016 11:24AM

Re: FATAL ERROR: -mask doesn't match datasets number of voxels

Juan February 19, 2016 03:49PM

Re: FATAL ERROR: -mask doesn't match datasets number of voxels

rick reynolds February 19, 2016 08:44PM