Hi again, another question. I am trying to compute pairwise correlation with -cifti-pairwise-correlate between two pconn files.
One has been derived by parcellating (-cifti-parcellate) with a given parcellation , i.e. Yeo11, the dconn file in 32K space , i.e. HCP_S900_820_rfMRI_MSMAll_groupPCA_d4500ROW_zcorr.dconn.nii resulting in the pconn file: HCP_S900_820_rfMRI_MSMAll_groupPCA_d4500ROW_zcorr.Yeo11.pconn.nii The other file has resulted from parcellating a dconn file describing group average functional connectivity from MEG data in the 4K space used for MEG analysis,i.e. SUBJAVG_MEG-Restin_icaimagcoh_alpha.Yeo11.pconn.nii So while the two pconn files represent connectivity between the same parcels, they have been derived by parcellating different spaces(32K and 4K ). When I compute the pairwise correlation as: wb_command -cifti-pairwise-correlation HCP_S900_820_rfMRI_MSMAll_groupPCA_d4500ROW_zcorr.Yeo11.pconn.nii SUBJAVG_MEG-Restin_icaimagcoh_alpha.Yeo11.pconn.nii outConneCorrel.nii I get the error: ERROR: mapping along columns must match between the input files Do you know how I could hack this and compute the correlation between the two pconn matrices as if they had been parcellated from the same spatial representation so that it would also be used in the output pscalar file ? Thanks again for your help Best Giorgos These pconn files represent fucntional connectivia simple comparison between fmri mattr --- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus _______________________________________________ HCP-Users mailing list HCP-Users@humanconnectome.org http://lists.humanconnectome.org/mailman/listinfo/hcp-users
