Scene: Supplemental Figure S1
WU-Minn HCP Consortium Open Access Data Use Terms
1. I will not attempt to establish the identity of or attempt to contact any of the included human subjects.
2. I understand that under no circumstances will the code that would link these data to Protected Health Information be given to me, nor will any additional information about individual human subjects be released to me under these Open Access Data Use Terms.
3. I will comply with all relevant rules and regulations imposed by my institution. This may mean that I need my research to be approved or declared exempt by a committee that oversees research on human subjects, e.g. my IRB or Ethics Committee. The released HCP data are not considered de-identified, insofar as certain combinations of HCP Restricted Data (available through a separate process) might allow identification of individuals. Different committees operate under different national, state and local laws and may interpret regulations differently, so it is important to ask about this. If needed and upon request, the HCP will provide a certificate stating that you have accepted the HCP Open Access Data Use Terms.
4. I may redistribute original WU-Minn HCP Open Access data and any derived data as long as the data are redistributed under these same Data Use Terms.
5. I will acknowledge the use of WU-Minn HCP data and data derived from WU-Minn HCP data when publicly presenting any results or algorithms that benefitted from their use.
1. Papers, book chapters, books, posters, oral presentations, and all other printed and digital presentations of results derived from HCP data should contain the following wording in the acknowledgments section: "Data were provided [in part] by the Human Connectome Project, WU-Minn Consortium (Principal Investigators: David Van Essen and Kamil Ugurbil; 1U54MH091657) funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research; and by the McDonnell Center for Systems Neuroscience at Washington University."
2. Authors of publications or presentations using WU-Minn HCP data should cite relevant publications describing the methods used by the HCP to acquire and process the data. The specific publications that are appropriate to cite in any given study will depend on what HCP data were used and for what purposes. An annotated and appropriately up-to-date list of publications that may warrant consideration is available at http://www.humanconnectome.org/about/acknowledgehcp.html
3. The WU-Minn HCP Consortium as a whole should not be included as an author of publications or presentations if this authorship would be based solely on the use of WU-Minn HCP data.
6. Failure to abide by these guidelines will result in termination of my privileges to access WU-Minn HCP data.
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Supplemental Figure S1
Top row shows the group average midthickness surfaces, where the columns indicate whether the results are from MSMAll, MSMSulc, or FreeSurfer registration, respectively. Rows 2 and 3 show the group average curvature maps. The bottom 3 rows show the cross-subject variability of the midthickness surface coordinates at each vertex (root mean square of the distance from the average coordinate - similar to standard deviation). Laterally, most of cortex is highly variable, with the exceptions in the central sulcus and the insula (where the curvature maps from all methods look similar), whereas medially, there is less variability overall. With folding-based registrations, the coordinate variability values are lower (FreeSurfer’s mean is 5.4 and MSMSulc’s mean is 5.5) than with areal-feature-based registrations (MSMAll’s mean is 6.2). This increased folding variability with areal-feature-based registration is another indication that cortical areas do not have consistent locations relative to folding patterns, which themselves are quite variable across subjects, even in tight folding registrations like FreeSurfer’s. Notably, FreeSurfer also has higher peaks of variability than MSMSulc, which was tuned to maximize functional alignment using folds and fits them less tightly than FreeSurfer (i.e. by constraining the registration to allow less distortion). This finding likely reflects overfitting of incompatible folding patterns by FreeSurfer registration. See Supplemental Methods Section M5.
Surface Mesh:32k fs LR, Registration:MSMAll, Registration:MSMSulc