Dear all,

I checked the AFNI program list and it seems that 3dNetCorr is the current best (and only?) way to create a correlation matrix in AFNI. I would like to create the following correlation matrix:

- A correlation between the Average/mean Frequency (AF) and the Power-Law Exponent (PLE).
- Different ROIs. The ROIs represent the dots/measurements in the correlation matrix for all subjects.

The problem is that 3dNetCorr requires a single AND 4D dataset as input, that is, a time-series is required. Now I face two possible problems:
1. I lose the time-series once I correlate AF and PLE (over all voxels) first via 3dTcorrelate. The output file of 3dTcorrelate creates a 3D dataset that contains the pearson-correlation (a single value) between AF and PLE for each voxel.
2. If I don't correlate AF and PLE first, in order to keep the time-series for both, I have two datafiles as input for 3dNetCorr, and this is also not supported.

In both cases my inputs are not vaild for 3dNetCorr. Is there any possible solution in AFNI?

Thanks,
Philipp



Edited 1 time(s). Last edit at 11/11/2021 10:21AM by Philipp.