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Data Use Terms

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× WU-Minn HCP Consortium Open Access Data Use Terms
I request access to data collected by the Washington University - University of Minnesota Consortium of the Human Connectome Project (WU-Minn HCP), and I agree to the following:

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.

Files

Type  Name  Size 
Surface ChimpYerkes29_v1.2.R.midthickness.32k_fs_LR.surf.gii 0000743005 725 KB
DScalar ChimpYerkes29_v1.2.sulc.32k_fs_LR.dscalar.nii 0000631808 617 KB
Surface ChimpYerkes29_v1.2.L.midthickness.32k_fs_LR.surf.gii 0000755496 737 KB
Border Q1-Q6_RelatedParcellation210.L.CorticalAreas_dil_Black.32k_fs_LR.border 0000743913 726 KB
PConn RC1_lessthan6_tICA_group_mean_reorder.pconn.nii 0000911504 890 KB
Surface MacaqueYerkes19_v1.2.L.flat.32k_fs_LR.surf.gii 0000537685 525 KB
Surface average_190825.R.very_inflated.32k_fs_LR.surf.gii 0000715717 698 KB
DScalar S1200.curvature_MSMAll.32k_fs_LR.dscalar.nii 0000580464 566 KB
DScalar average_190825.sulc.32k_fs_LR.dscalar.nii 0000631808 617 KB
Border Q1-Q6_RelatedParcellation210.R.CorticalAreas_dil_Black.32k_fs_LR.border 0000744401 726 KB
DScalar MacaqueYerkes19_v1.2.curvature.32k_fs_LR.dscalar.nii 0000557024 543 KB
Surface average_190825.R.inflated.32k_fs_LR.surf.gii 0000715925 699 KB
PConn RC1_morethan6_tICA_group_mean_reorder.pconn.nii 0000911504 890 KB
Surface MacaqueYerkes19_v1.2.L.very_inflated.32k_fs_LR.surf.gii 0000725152 708 KB
DLabel CortexSubcortex_ColeAnticevic_NetPartition_wSubcorGSR_netassignments_LR.dlabel.nii 0000999496 976 KB
DScalar MacaqueYerkes19_v1.2.corrThickness.32k_fs_LR.dscalar.nii 0000557040 543 KB
Surface MacaqueYerkes19_v1.2.L.hyper_inflated1.32k_fs_LR.surf.gii 0000727667 710 KB
Surface MacaqueYerkes19_v1.2.R.flat.32k_fs_LR.surf.gii 0000507082 495 KB
DScalar average_190825.curvature.32k_fs_LR.dscalar.nii 0000464352 453 KB
DLabel Q1-Q6_RelatedValidation210.CorticalAreas_dil_Final_Final_Areas_Group_Colors.32k_fs_LR.dlabel.nii 0000621936 607 KB
DScalar MacaqueYerkes19_v1.2.sulc.32k_fs_LR.dscalar.nii 0000631600 616 KB
Surface ChimpYerkes29_v1.2.R.very_inflated.32k_fs_LR.surf.gii 0000717178 700 KB
Surface average_190825.R.midthickness.32k_fs_LR.surf.gii 0000738589 721 KB
DLabel Human.Composite_VDG11.32k_fs_LR.dlabel.nii 0000644672 629 KB
Misc MouseMyelin.png 0001150225 1 MB
Surface MacaqueYerkes19_v1.2.L.inflated.32k_fs_LR.surf.gii 0000725648 708 KB
Surface MacaqueYerkes19_v1.2.R.very_inflated.32k_fs_LR.surf.gii 0000712837 696 KB
Surface average_190825.L.very_inflated.32k_fs_LR.surf.gii 0000726040 709 KB
Surface Q1-Q6_RelatedValidation210.L.flat.32k_fs_LR.surf.gii 0000538686 526 KB
DScalar ChimpYerkes29_v1.2.MyelinMap_BC.32k_fs_LR.dscalar.nii 0000575024 561 KB
Surface MacaqueYerkes19_v1.2.R.inflated.32k_fs_LR.surf.gii 0000713697 696 KB
DScalar S1200.sulc_MSMAll.32k_fs_LR.dscalar.nii 0000580464 566 KB
Surface Q1-Q6_RelatedValidation210.L.very_inflated_MSMAll_2_d41_WRN_DeDrift.32k_fs_LR.surf.gii 0000758502 740 KB
DScalar S1200.MyelinMap_BC_MSMAll.32k_fs_LR.dscalar.nii 0000580480 566 KB
DLabel Yerkes19_Parcellations_v2.32k_fs_LR.dlabel.nii 0006092224 5 MB
DLabel Gordon333_FreesurferSubcortical.32k_fs_LR.dlabel.nii 0001031624 1007 KB
Surface S1200.R.very_inflated_MSMAll.32k_fs_LR.surf.gii 0000867198 846 KB
Volume average_190825_AverageT1w_restore.nii.gz 0029465536 28 MB
Surface Q1-Q6_R440.L.midthickness.32k_fs_LR.surf.gii 0001108219 1 MB
Misc RSNcolors_CAB-NP.png 0000017078 16 KB
Surface Q1-Q6_RelatedValidation210.R.flat.32k_fs_LR.surf.gii 0000527373 515 KB
Surface Q1-Q6_R440.R.midthickness.32k_fs_LR.surf.gii 0001095500 1 MB
Surface ChimpYerkes29_v1.2.R.hyper_inflated.32k_fs_LR.surf.gii 0000718887 702 KB
Surface S1200.L.midthickness_MSMAll.32k_fs_LR.surf.gii 0001822938 1 MB
Surface Q1-Q6_R440.R.very_inflated.32k_fs_LR.surf.gii 0000710585 693 KB
DScalar average_190825.MyelinMap_BC.32k_fs_LR.dscalar.nii 0000464368 453 KB
Surface average_190825.L.inflated.32k_fs_LR.surf.gii 0000726348 709 KB
DLabel CortexSubcortex_ColeAnticevic_NetPartition_wSubcorGSR_parcels_LR.dlabel.nii 0001071720 1 MB
Surface S1200.L.very_inflated_MSMAll.32k_fs_LR.surf.gii 0000879781 859 KB
Surface Q1-Q6_R440.R.inflated.32k_fs_LR.surf.gii 0000710785 694 KB
Surface ChimpYerkes29_v1.2.L.hyper_inflated.32k_fs_LR.surf.gii 0000730634 713 KB
Surface MacaqueYerkes19_v1.2.L.midthickness.32k_fs_LR.surf.gii 0000742487 725 KB
Volume ChimpYerkes29_v1.2_AverageT1w_restore.nii.gz 0028401605 27 MB
DScalar ChimpYerkes29_v1.2.curvature.32k_fs_LR.dscalar.nii 0000575008 561 KB
PConn Cortex_ColeAnticevic_NetPartition_FCMatrix.pconn.nii 0001217984 1 MB
Surface ChimpYerkes29_v1.2.L.very_inflated.32k_fs_LR.surf.gii 0000729457 712 KB
DScalar MacaqueYerkes19_v1.2.MyelinMap_BC.32k_fs_LR.dscalar.nii 0000557040 543 KB
Surface S1200.R.midthickness_MSMAll.32k_fs_LR.surf.gii 0001810275 1 MB
Surface MacaqueYerkes19_v1.2.R.midthickness.32k_fs_LR.surf.gii 0000731212 714 KB
Surface Q1-Q6_R440.L.inflated.32k_fs_LR.surf.gii 0000723680 706 KB
Surface Q1-Q6_R440.L.very_inflated.32k_fs_LR.surf.gii 0000723384 706 KB
Surface average_190825.L.midthickness.32k_fs_LR.surf.gii 0000748372 730 KB
DScalar ChimpYerkes29_v1.2.corrThickness.32k_fs_LR.dscalar.nii 0000575024 561 KB
DLabel Human.MedialWall_Conte69.32k_fs_LR.dlabel.nii 0000644640 629 KB
/page
Scene File: VanEssen_MonkeyModels_PNAS2019.scene
Figure 2. Myelin maps: human, chimp, macaque, marmoset, mouse
Figure 3 C, D Macaque and human cortical parcellations
Figure 5C. Human resting-state networks and functional connectivity matrix

study:
Cerebral Cortical Folding, Parcellation, and Connectivity in Humans, Nonhuman Primates, and Mice

PATH:
scenes_figs_MonkeyModels / VanEssen_MonkeyModels_PNAS2019.scene

SCENES:
  • Figure 2. Myelin maps: human, chimp, macaque, marmoset, mouse
  • Figure 3 C, D Macaque and human cortical parcellations
  • Figure 5C. Human resting-state networks and functional connectivity matrix
©2025 Washington University School of Medicine

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