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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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Fig. 6. Thalamic network assignment. A) Network assignment of the thalamus and ventral diencephalon from the network partition described in the manuscript. B) Network assignment of the thalamus and ventral diencephalon from the parcellation performed without GSR (woGSR). Without GSR, the auditory network assignment of the MGN was not distinguishable in the parcellation. C) Network assignment of thalamus and ventral diencephalon using cortical network parcellation from Yeo et al. (2011). Note the lack of an auditory network in the Yeo et al. (2011) partition limits the ability to map thalamus relative to the new partition reported here. D) Right LGN (green) identified using the Jülich atlas (Bürgel et al., 2006; Eickhoff et al., 2005), similar coordinates also reported in (Linzenbold et al., 2011; Marx et al., 2004; A. T. Smith et al., 2009) and right MGN (lilac) identified using the Jülich atlas. E) Probabilistic tractography (i.e. ‘structural’ connectivity) of the right primary visual cortex (V1) shown in flat cortical map. Seed grayordinate is highlighted with green dot. Cortical VIS1 network parcels are outlined in blue. Tractography results were computed from diffusion MRI data obtained from the same subjects and averaged over the entire group. F) Tractography of V1 seed to subcortex, including the right LGN. Connectivity was strongest between V1, right LGN, and other visual processing regions, including the superior colliculus and brainstem nuclei. G) Probabilistic tractography of the right primary auditory cortex, displayed in flat cortical map. Seed grayordinate is highlighted with green dot. Cortical AUD network parcels are outlined in fuchsia. H) Tractography of primary auditory seed to subcortex, including right MGN. Connectivity was strongest between right auditory cortex, right MGN, other thalamic nuclei, and auditory processing regions such as the inferior colliculi. I) Cortical functional connectivity of the bilateral LGN parcels. VIS1 parcels are outlined in blue. Right hemisphere is displayed by default; similar results are seen in the left hemisphere. J) Cortical functional connectivity of the bilateral MGN parcels. AUD parcels are outlined in fuchsia. Right hemisphere is shown by default; similar results are seen in the left hemisphere.
Surface Mesh:32k fs LR, Modality:T1-weighted, Species:Human