I would like to construct a functional connectome from 2 rsfMRI volumes. So i’m wondering if i should
- concatenate both raw volumes and preprocess the concatenated volume as per normal (i.e. via fmriprep)?
- preprocess both volumes separately, concatenate the denoised timeseries data from both volumes and then extract the connectivity matrix from the concatenated timeseries data
- preprocess and extract the connectivity matrix separately for both volumes, then compute the average of these matrices