Can you post your probtrackx call? Peace,
Matt. From: <hcp-users-boun...@humanconnectome.org<mailto:hcp-users-boun...@humanconnectome.org>> on behalf of "Gopalakrishnan, Karthik" <gkart...@gatech.edu<mailto:gkart...@gatech.edu>> Date: Thursday, August 31, 2017 at 9:27 PM To: "HCP-Users@humanconnectome.org<mailto:HCP-Users@humanconnectome.org>" <HCP-Users@humanconnectome.org<mailto:HCP-Users@humanconnectome.org>> Subject: [HCP-Users] probtrackx network with HCP data and MMP parcellation Hi all, I ran probtrackx for HCP subject 100206 using the MMP1.0 Glasser surface ROIs. My seeds in each ROI are at the white matter-gray matter boundary. I ran probtrackx in network mode as well as seed-to-ROI mode for the subject, and I applied the method described in http://journal.frontiersin.org/article/10.3389/fninf.2016.00046/full to infer structural networks from the resultant data from probtrackx. What I observe is that the networks aren't particularly dense. Since MMP1.0 has 360 ROIs, there are 360*359 = 129240 possible directed edges, but the networks I infer have about 2300 edges, which is a density of ~2%. Could someone share their insights on why I'm observing such low-density networks/where I might be doing something wrong? Thanks! Karthik _______________________________________________ HCP-Users mailing list HCP-Users@humanconnectome.org<mailto:HCP-Users@humanconnectome.org> http://lists.humanconnectome.org/mailman/listinfo/hcp-users _______________________________________________ HCP-Users mailing list HCP-Users@humanconnectome.org http://lists.humanconnectome.org/mailman/listinfo/hcp-users
