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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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HCP group average architectural and folding map reproducibility. Here we show group average left midthickness surfaces in Columns 1 and 2, left inflated surfaces in Columns 3 and 4 and left flat maps in Column 5. The 210P group averages are the odd rows and the 210V group averages are the even rows. The top two rows are FreeSurfer 'sulc' (r=0.996), the next two are FreeSurfer 'curv' (r=0.979), the next two are myelin (r=0.998), and the final two are thickness corrected for folding effects (r=0.994); all show extremely high cross-group reproducibility (both hemispheres were used in computing spatial map correlation coefficents). Folding patterns (sulc and curv) become blurry in many higher association regions of cortex, though they remain sharp in primary regions such as the central sulcus, calcarine sulcus, and insula, indicating that these regions have cortical areas that are well correlated with folding patterns. Areal feature-based surface registration also preserves fine spatial details in myelin maps and thickness maps that are consistent across groups. An example is the reproducible variation in the myelin maps of the primary somatosensory cortex, which appears to be related to somatotopic subdivisions (see Supplementary Neuroanatomical Results #6, where these variations are compared with functional and connectivity-based somatotopic subdivisions). Sulcal folding is dark and gyral folding is bright, with grey in between. High myelin and thick cortex are red, low myelin and thin cortex are dark. T1w/T2w myelin content maps are a relative measure depicted on a percentile scale that indicates which cortical areas have more or less myelin. For brevity, we refer to them as 'myelin maps' in this report (as in previous reports). We consider them akin to an in vivo, MRI-based "myelin stain," analogous to histological myelin stains long used neuroanatomists rather than a truly quantitative measure of intracortical myelin (Glasser et al., 2014; Glasser and Van Essen, 2011).
Modality:Myelin Map, Surface Mesh:32k fs LR, Registration:MSMAll, Species:Human, Modality:T1-weighted, Modality:T2-weighted