network-based statistic

Hi AFNI experts,
I am wondering if AFNI has an implementation of this “network-based statistic”. It is similar to AlphaSim, but applied to “links” rather than voxels.


Could you elaborate a little bit more about your specific analysis scenario such as response variable, explanatory variables, number of connections, etc? You can shoot me an email if you prefer.

Thank you Gang for your prompt response!
My scenario is very simple:

resting-state fMRI
2 groups, control and patient
anatomically derived 200 ROIs
200x200 functional connectivity matrix obtained individually (so 19900 links for each pair of ROI)
(1) link-wise group comparison between controls and patients; or group t-test performed for each one of the 19900 links
(2) link-wise correlation between link strength and a chemical concentration measured individually
Considering corrections of multiple comparison, I want to see which link (actually a group of links) is significantly changed between groups; or which link is significantly correlated with the chemical concentration.

I have some rough idea about handling the situation, which is hopefully better than what was presented in the paper you mentioned previously, but I’ll have to iron out a couple of sticky points before it can be applied to your situation.

Sure, please let me know when your iron has cooled down …

Hi, Dr. Gang Chen,

How about the implementation is going?

I just found this post when I was searching “network-based statistic (NBS) + AFNI”.

I am also looking for an alternatives for the NBS.

Since 2010, NBS was the mostly-commonly used method that provide a easy solution for network links statical comparison.

However, NBS has many limitations. Besides the way it corrected the multiple comparison, a major issue for me is that it didn’t support the “linear mixed model”.

This caused a problem for any longitudinal studies, when we want to model the with-subject variance as the random effect.

Really look forward to your new methods!

Cirong Liu,