No, ICA+FIX is data cleanup that is applied to the minimally preprocessed (MPP) data.
I suggest you start here https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FSLNets and in particular the file “nets_examples.m” cheers, -MH -- Michael Harms, Ph.D. ----------------------------------------------------------- Conte Center for the Neuroscience of Mental Disorders Washington University School of Medicine Department of Psychiatry, Box 8134 660 South Euclid Ave. Tel: 314-747-6173 St. Louis, MO 63110 Email: mha...@wustl.edu From: <hcp-users-boun...@humanconnectome.org<mailto:hcp-users-boun...@humanconnectome.org>> on behalf of Sang-Yun Oh <san...@gmail.com<mailto:san...@gmail.com>> Date: Friday, May 12, 2017 at 4:10 PM To: "Glasser, Matthew" <glass...@wustl.edu<mailto:glass...@wustl.edu>>, "hcp-users@humanconnectome.org<mailto:hcp-users@humanconnectome.org>" <hcp-users@humanconnectome.org<mailto:hcp-users@humanconnectome.org>>, Stephen Smith <st...@fmrib.ox.ac.uk<mailto:st...@fmrib.ox.ac.uk>> Subject: Re: [HCP-Users] Replicating "Resting-state fMRI in the Human Connectome Project" Dear Matt, Thank you for your quick response. Would that mean matrix G is derived from minimally preprocessed data? If so, how can I reconstruct G from minimally preprocessed data? Thank you, Sang On Fri, May 12, 2017 at 1:55 PM Glasser, Matthew <glass...@wustl.edu<mailto:glass...@wustl.edu>> wrote: Steve Smith would have generated that matrix. I would have been after running ICA+FIX, which would remove linear trends, 24 movement regressors and ICA noise component timeseries. The matrix would have been made with FSLNets. Peace, Matt. From: <hcp-users-boun...@humanconnectome.org<mailto:hcp-users-boun...@humanconnectome.org>> on behalf of Sang-Yun Oh <san...@gmail.com<mailto:san...@gmail.com>> Date: Saturday, May 13, 2017 at 5:38 AM To: "hcp-users@humanconnectome.org<mailto:hcp-users@humanconnectome.org>" <hcp-users@humanconnectome.org<mailto:hcp-users@humanconnectome.org>> Subject: [HCP-Users] Replicating "Resting-state fMRI in the Human Connectome Project" Dear HCP users, I am new to this area and I would like to do a replication exercise to learn more about HCP dataset and neuroscience tools. What would be the simplest way to get my hands on matrix G (Figure 2) in this paper? https://doi.org/10.1016/j.neuroimage.2013.05.039 I would imagine G is after regressing out any motion and white matter signals (is this true?) I tried to read the supplemental material; however, it was very complex and way over my head. Is there a script available for computing G from HCP released data that a newbie like me can use? I would appreciate any guidance Best, Sang _______________________________________________ HCP-Users mailing list HCP-Users@humanconnectome.org<mailto:HCP-Users@humanconnectome.org> http://lists.humanconnectome.org/mailman/listinfo/hcp-users ________________________________ The materials in this message are private and may contain Protected Healthcare Information or other information of a sensitive nature. If you are not the intended recipient, be advised that any unauthorized use, disclosure, copying or the taking of any action in reliance on the contents of this information is strictly prohibited. If you have received this email in error, please immediately notify the sender via telephone or return mail. _______________________________________________ HCP-Users mailing list HCP-Users@humanconnectome.org<mailto:HCP-Users@humanconnectome.org> http://lists.humanconnectome.org/mailman/listinfo/hcp-users ________________________________ The materials in this message are private and may contain Protected Healthcare Information or other information of a sensitive nature. If you are not the intended recipient, be advised that any unauthorized use, disclosure, copying or the taking of any action in reliance on the contents of this information is strictly prohibited. If you have received this email in error, please immediately notify the sender via telephone or return mail. _______________________________________________ HCP-Users mailing list HCP-Users@humanconnectome.org http://lists.humanconnectome.org/mailman/listinfo/hcp-users
