ICA+FIX precedes FSLNets and the appropriate data is distributed by the HCP.
Peace, Matt. From: "Harms, Michael" <[email protected]<mailto:[email protected]>> Date: Saturday, May 13, 2017 at 8:08 AM To: Sang-Yun Oh <[email protected]<mailto:[email protected]>>, Matt Glasser <[email protected]<mailto:[email protected]>>, "[email protected]<mailto:[email protected]>" <[email protected]<mailto:[email protected]>>, "[email protected]<mailto:[email protected]>" <[email protected]<mailto:[email protected]>> Subject: Re: [HCP-Users] Replicating "Resting-state fMRI in the Human Connectome Project" FSLNets takes subjects x space x time. If what you want is the group average dense connectome (space x space), then a pre-computed version of that is available for download at db.humanconnectome.org. Note that it is 33 GB. If you just want to visualize the dense connectome, you can do that interactively through Workbench (wb_view) without needing to download the actual data. 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: [email protected]<mailto:[email protected]> From: Sang-Yun Oh <[email protected]<mailto:[email protected]>> Date: Friday, May 12, 2017 at 4:44 PM To: Michael Harms <[email protected]<mailto:[email protected]>>, "Glasser, Matthew" <[email protected]<mailto:[email protected]>>, "[email protected]<mailto:[email protected]>" <[email protected]<mailto:[email protected]>>, Stephen Smith <[email protected]<mailto:[email protected]>> Subject: Re: [HCP-Users] Replicating "Resting-state fMRI in the Human Connectome Project" Dear Michael, Please let me know if my understanding is correct. I am trying to get my hands on the input matrix G (Group time series data) in Figure 2 I took Matt's reply to mean that Steve Smith generated G, and Matt's ICA+FIX would be downstream from that (i.e. not G). If that is not correct, are you saying ICA+FIX data is matrix G? (of course taking each subject and concatenating them row-wise) My understanding is FSLNets would take G^T G as input Thank you, Sang On Fri, May 12, 2017 at 2:27 PM Harms, Michael <[email protected]<mailto:[email protected]>> wrote: 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<tel:(314)%20747-6173> St. Louis, MO 63110Email: [email protected]<mailto:[email protected]> From: <[email protected]<mailto:[email protected]>> on behalf of Sang-Yun Oh <[email protected]<mailto:[email protected]>> Date: Friday, May 12, 2017 at 4:10 PM To: "Glasser, Matthew" <[email protected]<mailto:[email protected]>>, "[email protected]<mailto:[email protected]>" <[email protected]<mailto:[email protected]>>, Stephen Smith <[email protected]<mailto:[email protected]>> 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 <[email protected]<mailto:[email protected]>> 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: <[email protected]<mailto:[email protected]>> on behalf of Sang-Yun Oh <[email protected]<mailto:[email protected]>> Date: Saturday, May 13, 2017 at 5:38 AM To: "[email protected]<mailto:[email protected]>" <[email protected]<mailto:[email protected]>> 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 [email protected]<mailto:[email protected]> 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 [email protected]<mailto:[email protected]> 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. ________________________________ 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 [email protected] http://lists.humanconnectome.org/mailman/listinfo/hcp-users
