Hi Adoney, The released data has been only 7.5 mm maximum movement within scan. So the sensor positions should be quite close in all three resting state scans. ICA was done with all three sessions concatenated together. So I believe it should be one to concatenate them for your analysis too and assume sensors are more or less on same location. If you want to treat each different scan separately then you have to follow different strategies like: -Perform beamforming for each session separately and project each session separately into source space and then concatenate data in source space and do further analysis there. -Make a virtual gradiometer array as the mean of the three gradiometer positions in the three scans and then interpolate the data of each session to this virtual MEG sensors using Fieltrip’s function ft_megrealign and then combine all data in this virtual sensor space. Keep in mind that this projects the data into source space and projects it back to the virtual sensor space.
I hope this helps Best Giorgos From: <[email protected]<mailto:[email protected]>> on behalf of A Nunes <[email protected]<mailto:[email protected]>> Date: Thursday, 16. November 2017 at 21:56 To: "[email protected]<mailto:[email protected]>" <[email protected]<mailto:[email protected]>> Subject: [HCP-Users] MEG resting state Hi, The MEG resting state data is split in three sessions, is it possible to append the data before computing the covariance matrix? I have some doubts because the sensor position might change between the recordings and if ICA was done separately, then the rank would change between sessions and I don't know how would this affect beamforming. Any suggestions? Thanks Adonay _______________________________________________ HCP-Users mailing list [email protected]<mailto:[email protected]> http://lists.humanconnectome.org/mailman/listinfo/hcp-users _______________________________________________ HCP-Users mailing list [email protected] http://lists.humanconnectome.org/mailman/listinfo/hcp-users
