Hi Paula,
Thanks for raising these important questions about when various types of "advanced" HCP datasets will be released. We apologize for the delayed response, but internal discussions were needed in order to clarify the HCP's general game plan on this front. The current Q2 HCP data release does not include extensively processed connectivity data for individual subjects. In future releases, HCP is planning to release dense ("grayordinate-to-grayordinate") functional connectivity datasets based on resting state fMRI from individual subjects. This is currently planned for the Q4 release (November). We plan to release a group-average functional connectivity dataset based on 120 subjects for the Q3 release (later in August). This will be based on published methods and will be an improvement over the "demo" 20-subject group average released last spring (see below). We are working on improving many of the steps for generating structural connectivity datasets, based on diffusion imaging and probabilistic tractography. In the future, we will release probabilistic tractography and "dense structural connectome" datasets, perhaps with the Q4 release. There are ongoing efforts both within and outside the HCP consortium to generate improved methods of brain parcellation, especially cerebral cortex. "HCP-sanctioned" parcellated connectome datasets (based on improved cortical parcellations) will be made publicly available in the future, but we have not set a target date. However, a forthcoming release of Connectome Workbench (and the associated "workbench command") provides tools for generating and visualizing parcellated connectomes. Once these plus the dense connectome datasets are released, you and others will be able to generate parcellated connectomes based on your own preferred parcellation scheme. Currently, in <http://humanconnectome.org/connectome/get-connectome-workbench.html> Connectome Workbench beta 0.82, users can access a 20-subject group average dense functional connectivity file over the internet and interactively view functional connectivity of user-selected vertices with the rest of the group average surface (see the <http://humanconnectome.org/documentation/tutorials/Connectome_WB_Tutorial_U serGuide_beta_v0.82.pdf> Workbench beta 0.82 tutorial for details). Because we are still working on improved methods for generating such data, we recommend using it for demonstration purposes only, pending the aforementioned 120-subject group average that will accompany the Q3 release. https://mail.google.com/mail/images/cleardot.gif Regarding your question about head models for MEG analysis, we do indeed plan to make a (FieldTrip-compatible) head model available for each subject scanned using MEG. MEG data collection began this summer, and the first MEG data release is scheduled for the fall (November). Best, Jenn Jennifer Elam, Ph.D. Outreach Coordinator, Human Connectome Project Washington University School of Medicine Department of Anatomy and Neurobiology, Box 8108 660 South Euclid Avenue St. Louis, MO 63110 314-362-9387 el...@pcg.wustl.edu www.humanconnectome.org -----Original Message----- From: hcp-users-boun...@humanconnectome.org [mailto:hcp-users-boun...@humanconnectome.org] On Behalf Of Paula SANZ LEON Sent: Tuesday, July 23, 2013 12:00 PM To: hcp-users@humanconnectome.org Subject: [HCP-Users] [Processed Data: connectivity matrices] Hello everyone, After reading the documentation of the Q2 release, I was still wondering if a coarse connectome was available with each preprocessed dataset. Since there is a 52 region cortical parcellation and the Broadmann anatomical parcellation, I'd like to know if the corresponding connectivity (weights matrix, white matter fibre lengths, positions/region centres and mapping to the 32k,74k and 163k surfaces) was already there; if there is a way to get this using Connectome Workbench; or will it be included in feature releases? Also, do you think that additional head surfaces will be included at some point in the processed data (eg, the surfaces required for building a head model in order to obtain the EEG lead-field matrix in FieldTrip or OpenMEEG)? Thanks in advance, Paula _______________________________________________ HCP-Users mailing list <mailto:HCP-Users@humanconnectome.org> HCP-Users@humanconnectome.org <http://lists.humanconnectome.org/mailman/listinfo/hcp-users> http://lists.humanconnectome.org/mailman/listinfo/hcp-users _______________________________________________ HCP-Users mailing list HCP-Users@humanconnectome.org http://lists.humanconnectome.org/mailman/listinfo/hcp-users
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