help > NBS- no significant result interpretation and design matrix cross-validation
Apr 20, 2018  03:04 PM | hex_dex - AUTH
NBS- no significant result interpretation and design matrix cross-validation
Hello! I am new to NBS and though I find it an amazing tool I still am not sure I completely do understand how to set it. I have the eeg data from 2 groups (A & B) which represent different activities and for each group I have 2 time points (pre & post). For each group I have the eeg of 20 people so in total, I have 40 sets of 2 time points. My connectivity matrix is 22*22*80 and my design matrix is 80*42. Specifically, my design matrix is 

  Time    Time*Group   Regression#1   Regression#2   ...  Regression #39 Regression#40
line1     0 0                      1 0  0 0
line2     1 1 1 0  0 0
line3     0 0 0 1  0 0
line 4    1 1 0 1  0 0
         . .
       . .
     . .
line 37   0 1 0 0  1 0
line 38   1 0 0 0  1 0
line 39   0 1 0 0  0 1
line 40   1 0 0 0  0 1

I want a time x group analysis and my contrast matrix is [ 0 1 0 0 ...0] which consists of 42 columns. I run an F-test. However I take no significant results and I think I am doing something wrong. Is my design matrix ok? Do you see anything wrong?

Best regards,
Katerina

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TitleAuthorDate
NBS- no significant result interpretation and design matrix cross-validation
hex_dex Apr 20, 2018
Andrew Zalesky Apr 22, 2018
hex_dex Apr 22, 2018
Andrew Zalesky Apr 22, 2018
hex_dex Apr 23, 2018