Hello dear experts, I am very new to HCP so I am struggling with a lot of confusion and hope you can help. I would like to calculate seed-based FC of hippocampus of two groups (patients/controls) and to perform a group comparison between them. Now I am not sure about how to proceed. I see two possible ways:
1. I could merge .dtseries.nii files for all the subjects in a group with cifti-merge to create a group-average dense connectome. However, how do I extract the connectivity of the seed of interest and how do I I perform statistical analysis on it? 2. Or, if I understand correctly, I can use -cifti-average-roi-correlation. However, I am not sure about the inputs. Should I first merge .dtseries.nii files for all subjects in a group, take this as <cifti-in> and then extract hippocampus from Atlas_ROIs.2.nii.gz with cifti-separate and use it as <roi-vol>? Second question is when I managed to run it, what would the output be and how do I perform statistical analysis on it? I would be super grateful if you could clarify what the right way is and give me a short step-by-step of how to do a seed-based group-level analysis. Thanks a lot! Lisa _______________________________________________ HCP-Users mailing list [email protected] http://lists.humanconnectome.org/mailman/listinfo/hcp-users
