Greetings CONN experts,
I have changed the masking variable in my spm_defauts.m file to disable voxel signal-dependent thresholding (defaults.mask.thresh = -Inf), but alas there are still "holes" in my preprocessed "niftiDATA_Subject..." files.
I would like to use subject-specific implicit masks, or alternatively turn off all masking, because parts of the brain are being masked out of some of my subjects. I know that I could get around this by using an explicit mask, but that's not an option for this subject-space analysis.
Any help would be greatly appreciated!
Jennifer
I have changed the masking variable in my spm_defauts.m file to disable voxel signal-dependent thresholding (defaults.mask.thresh = -Inf), but alas there are still "holes" in my preprocessed "niftiDATA_Subject..." files.
I would like to use subject-specific implicit masks, or alternatively turn off all masking, because parts of the brain are being masked out of some of my subjects. I know that I could get around this by using an explicit mask, but that's not an option for this subject-space analysis.
Any help would be greatly appreciated!
Jennifer