Dear Andrew,

Thanks for the toolbox, it is very useful!

I had a doubt to perform a longitudinal analysis. I want to evaluate the effect of time and the interaction between time and group in a longitudinal study. I have 2 groups and 5 timepoints, but not all the subjects were evaluated at the 5 timepoints. Therefore, in the exchange blocks vector to take into account measures of the same subject, I have included blocks with different number of elements: i.e. [1 1 1 1 1 2 2 2 2 3 3 3 3 3 ...].... but it does not work.

When I try to run NBS with this exchange blocks vector I get an error, because of the differences in block size.

I was wondering if adding NaN connectomes in the missed timepoints, but I don't know how NBS manage NaN and if it would make sense...

Is it possible to perform this kind of analysis with missed values?  How?

Thanks in advance!!