Scene: Supplemental Figure S10
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 S10
Comparison of surface-based analysis to average surface mapping (ASM), and multi-individual mapping (MIM) with and without 4 mm of volume-based smoothing. We took the per-area group partial voxel volumes at 2 mm, and put them through representative processing and visualization pipelines. Top row: maps of “leftover signal fraction” (one minus the largest value of the area signal fractions: if a vertex has 0.8 of its signal come from within area V1, its leftover fraction is 0.2), which is similar to the uncertainty measure: higher values mean there is more signal mixing across areas and across tissue types. Middle and bottom rows: simulated signal of areas 3b, 46, and MT (middle) and 55b, PSL, MI, and STSva (bottom) for each processing and visualization method. Left column: Individual subject area signal volumes were mapped to each individual’s surfaces, followed by averaging using MSMAll registration. Left middle column: Area signal volumes were averaged using FNIRT registration, then mapped to the group average surfaces (see “Average Surface Mapping” in Fig. 9). Middle column: Same as left middle column, but with 4mm FWHM volume smoothing applied before mapping to the surface. Right middle column: The same group-average volumes were mapped to many individual surfaces and then averaged using MSMAll registration (see “Multi-Individual Mapping” in Fig. 9). Right column: Same as the right middle column, but 4mm FWHM volume smoothing was applied. See Supplemental Methods Sections M2 and M9.
Surface Mesh:32k fs LR, Registration:MSMAll