Each row is a subject and each column is a cluster. BTW, a threshold of 1.3 is way too low for lGI. If you want to use a threshold that low, you should use permutation instead of monte carlo (in general, permutation is better, but certainly for lGI).

On 8/9/18 1:39 PM, Avi Gharehgazlou wrote:

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Hi experts, 

I looked at association between LGI and a behavioural scale on QDEC. after the analysis, to plot the significant clusters/ blobs, I wanted to export LGI values for each subject from each significant blob and based on instructions in previous archives I ran the following command line: 

mri_glmfit-sim –glmdir (qdec output directory) --cache 1.3 abs

which generated a "cache.th13.abs.y.ocn.dat" file. This file contains 3 columns and 36 rows. I'm assuming the values in the three columns correspond to LGI values for each significant blob for each subject? (I had 3 significant blobs and 36 participants)

Will you please confirm I am doing (and interpreting) this correctly?

Thanks so much, 

Avi

 

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