Hi Dr Zalesky, 

I'm utilising the dNBS toolbox to investigate group (responders vs. non-responders) by time (pre and post-treatment) interactions using an F-test. Thank you for making this extension of NBS available!

I've set-up my design matrix and contrasts as per a previous post you said was okay (https://www.nitrc.org/forum/forum.php?th...), however, I wanted to verify I adjusted this for my purposes correctly. 

I realise I need to drop the group column, and for group comparisons I will perform a t-test between groups separately for each time point.

On a related note, my directed network (32x32 eeg channels) was calculated using multivariate transfer entropy toolbox. The edges in the matrix can contain either a binary [0,1] for no significant information transfer or significant transfer, or it can contain the information transfer value (e.g. 0.1). Is assessing either of these fine or is one more appropriate/powerful? 

Kind regards,

Jules