Hello Anders, To select a set of subjects meeting your criteria, you will need to make use of family structure information, which is part of HCP Restricted Access data. Once you have agreed to the HCP Restricted Data Use Terms and obtained permission to access these data, you can download a spreadsheet that includes the resting-state fMRI scan count as well as the family structure data.
There are many possible combinations of subjects who would meet your criteria, and we do not have an algorithm for automatically identifying such groupings. Before you proceed too far down this road, please bear in mind that the rfMRI datasets are acquired in "RL" and "LR" pairs (opposite phase encoding directions). There are advantages to analyzing these data in LR/RL pairs. More importantly, combining RL scans of some subjects and LR scans of others would be problematic, whether you use the HCP minimally preprocessed or FIX-denoised data (as we strongly recommend) or if you do the preprocessing using your own methods. See the Reference Manual and relevant HCP publications listed on the website for additional information. Others who are more expert in rfMRI processing than I may wish to comment further. David VE On Jul 4, 2014, at 5:51 PM, Anders Eklund <[email protected]> wrote: > Dear HCP users, > > I´m interested in analyzing data from unrelated subjects only. The Unrelated > 100 is only for subjects who completed all scanning protocols (if I > understand the description correctly). Using the HCP dashboard, I would for > example like to select all *unrelated* subjects who have completed one T1 > scan and one resting state scan, is this possible? > > Under ´Demographics´ I cannot find anything regarding related or unrelated, > would it be possible for you to add this? > > Regards > > -- > Anders Eklund, PhD > Postdoctoral Associate > Virginia Tech Carilion Research Institute > > _______________________________________________ > HCP-Users mailing list > [email protected] > http://lists.humanconnectome.org/mailman/listinfo/hcp-users > _______________________________________________ HCP-Users mailing list [email protected] http://lists.humanconnectome.org/mailman/listinfo/hcp-users
