Inputting Afni Beta weights for non-TR locked design

[Emotion Cognition]

Hi All,

 

I am trying to run and mvp analysis on an experiment that was conducted using a non-TR locked design, comprised of 6 experimental runs with 4 conditions randomized in all runs. I am looking to import the beta weights directly into the pattern structure instead of the raw voxel data. I have run 3dDeconvolve within the afni environment, but am not sure if this is the proper process, as I cannot find how import the output bucket file (1 for each run), and select the appropriate sub-briks back in the toolbox environment. My regressor structure currently look like this:

 

100010001000100010001000

010001000100010001000100

001000100010001000100010

000100010001000100010001

 

and my selector looks like this:

 

111122223333444455556666

 

 

This aimed to identify the desired subbrik of the 3dDeconvolve-generated bucketfile, but is more than likely not the right format...

 

 

 Please let me know if you have any suggestions, or if I am completely off-base in my approach so far. Thanks