I’ve been using 3dTcorr1D to calculate a seed’s whole brain correlation. Now, I would like to remove the mutual correlations’ variance between this seed and another seed correlation (maybe orthogonaling their time-series) and I thought maybe you had any suggestions about how to do this with afni or what function I could use. Sorry for the general question.
Thanks for any suggestions!
Well, I’m not sure what your goal is, but you can orthogonalize a set of vectors using the 1dsvd program with the -1Dleft option. However, I’m not sure that will move you in the direction you want, but I can’t really tell what your goal is.
My goal is to calculate the functional connectivity of several seeds that are close to each other. Since they are close to each other, there will be a lot of common variance between them and I wanted to just see the unique variance for each of them. I thought I could do that (getting just the unique correlations for each seed) by orthogonalizing each seed’s time series with respect to the other seeds’ time series. I’ve been looking at a way of doing that with 3dDeconvolve, but I’m not sure that it’s possible. I was also checking today the 1dsvd program that you suggested, but I don’t think this will help me either.
Maybe I’m wrong and there’s an easier way of seeing the unique connectivity of each of these seeds.