Hi, we are working on a visualization method for functional connectivity on the cortical surface, and would like to use the HCP functional connectivity data towards that end. We require surface representations and either the time series associated with the cortical nodes, or a correlation matrix with the functional connectivity strength for each pair of nodes as input for our method. I figured out a way to read CIFTI files, however, even the down-sampled representations with ~30k nodes are too complex to handle at interactive framerates in our software for the time being.
What would be the best way to reduce the resolution of the surfaces to something closer to 10k nodes? I know how to decimate the number of nodes with the freesurfer tools in order to get a lower resolution surface representation for individuals, but am not certain that this is the best approach. Is it possible to get matching time series data sampled to a surface different than the ones included in the preprocessed data? Any help or pointers in the right direction would be highly appreciated... Cheers, Joachim _______________________________________________ HCP-Users mailing list [email protected] http://lists.humanconnectome.org/mailman/listinfo/hcp-users
