Hi, I am extracting the average fMRI time series for ROI-based functional connectivity analysis using surface fMRI data, for example, rfMRI_REST1_LR_s2.atlasroi.L.32k_fs_LR.func.gii. The ROIs I defined (e.g., PCC) are spheres in the MNI space. At present, I first compute which vertices are within the ROI and then average the fMRI data across these vertices within the ROI. I am not sure if this method is reasonable for HCP data, since I notice that the number of vertices within the ROI is different for different subjects. Any suggestion is welcome. Thanks.
Ming _______________________________________________ HCP-Users mailing list HCP-Users@humanconnectome.org http://lists.humanconnectome.org/mailman/listinfo/hcp-users
