Copyright and license information for fsbrain and its optional data files ========================================================================= This file documents the ownership of copyright and intellectual property of all components of the fsbrain package, including the optional data files that can be downloaded at runtime via the download_*() functions. It is provided in compliance with the CRAN Repository Policy (https://cran.r-project.org/web/packages/policies.html). 1. Package code --------------- The fsbrain package code is (c) Tim Schafer, and is licensed under the MIT license. See the files 'LICENSE' and 'LICENSE_FULL' for details. 2. Demo data downloaded by download_optional_data() --------------------------------------------------- The demo subject data ('subject1' and 'subject2') was created by Tim Schafer, the author of fsbrain, using FreeSurfer. It is the author's own data and carries no third-party copyright. It is provided for testing, examples, and the vignette. 3. FreeSurfer template data downloaded by download_fsaverage(), download_fsaverage_minimal(), download_fsaverage3(), and download_fsaverage6() --------------------------------------------------------------- These functions download data of the FreeSurfer 'fsaverage', 'fsaverage3' and 'fsaverage6' template subjects (cortical surfaces, cortex labels, curvature, sphere and registration files, and related files). This data originates from FreeSurfer, developed by the Martinos Center for Biomedical Imaging, Massachusetts General Hospital / Harvard Medical School, and is subject to the FreeSurfer Software License (https://surfer.nmr.mgh.harvard.edu/fswiki/FreeSurferSoftwareLicense). The download functions require the user to explicitly accept the FreeSurfer license before downloading. Please cite: * Dale AM, Fischl B, Sereno MI. Cortical surface-based analysis. I. Segmentation and surface reconstruction. NeuroImage 1999;9(2):179-194. * Fischl B, Sereno MI, Dale AM. Cortical surface-based analysis. II. Inflation, flattening, and a surface-based coordinate system. NeuroImage 1999;9(2):195-207. See also inst/extdata/attribution/fsaverage/surf/fsaverage.attribution.json. 4. Atlas data downloaded by download_fsaverage_atlases() and download_fs_LR_32_atlases() --------------------------------------------------------------- These functions download cortical atlas (parcellation) files in the space of the 'fsaverage' and 'fs_LR 32k' templates, respectively. The atlases are the work of their respective authors and are redistributed (and, for the fsaverage versions, resampled from the fs_LR 32k versions) by the brain_atlases project (https://github.com/dfsp-spirit/brain_atlases). The converted files are considered derivative works and are licensed under the license of the original atlas. See the per-atlas attribution files in inst/extdata/attribution/fsaverage/label/ and inst/extdata/attribution/fs_LR_32/label/ for full details. In particular: * Schaefer 2018 local-global parcellations (100-1000 parcels): (c) Alexander Schaefer, Ru Kong, et al.; for research use (see original distribution at https://github.com/ThomasYeoLab/CBIG). Cite: Schaefer A, et al. Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI. Cereb Cortex 2018;28(9):3095-3114. * Human Brainnetome Atlas: (c) Lingzhong Fan et al. (Brainnetome Center, Institute of Automation, Chinese Academy of Sciences); free for academic/research use (https://atlas.brainnetome.org). Cite: Fan L, et al. The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture. Cereb Cortex 2016;26(8):3508-3526. * Automated Anatomical Labelling atlas 3 (AAL3): (c) Edmund T. Rolls et al.; freely available for academic/research use (https://www.gin.cnrs.fr/en/tools/aal/). Cite: Rolls ET, Huang CC, Lin CP, Feng J, Joliot M. Automated anatomical labelling atlas 3. NeuroImage 2020;206:116189. * HCP-MMP1.0 (fsaverage only): (c) Matthew F. Glasser et al., CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/); the fsaverage projection was created by Kathryn Mills (figshare, https://doi.org/10.6084/m9.figshare.3498446.v2). Cite: Glasser MF, et al. A multi-modal parcellation of human cerebral cortex. Nature 2016;536:171-178. 5. fs_LR 32k template meshes downloaded by download_fs_LR_32_meshes() --------------------------------------------------------------------- These functions download the standard fs_LR 32k cortical surface meshes (white, pial, inflated, very inflated, midthickness, sphere, and flat). The meshes were created by the Van Essen Lab et al. as part of Caret / Connectome Workbench / HCP Pipelines, and are widely used subject to the HCP Open Access Data Use Terms (https://www.humanconnectome.org/license). No license file was found in the source repository (https://github.com/DiedrichsenLab/fs_LR_32). See inst/extdata/attribution/fs_LR_32/surf/fs_LR_32k.attribution.json. Please cite: * Van Essen DC, et al. The WU-Minn Human Connectome Project: An overview. NeuroImage 2013;80:62-79. * Van Essen DC, et al. Parcellations and hemispheric asymmetries of human cerebral cortex analyzed on surface-based atlases. Cereb Cortex 2012;22(10):2241-2262. 6. Trademarks ------------- 'FreeSurfer', 'fsaverage', 'fs_LR', 'conte69', 'HCP' and 'Caret' are names, marks, or project names of their respective owners. Their use here is factual and does not imply endorsement by, or affiliation with, the respective owners. 7. Availability --------------- None of the optional data files described above are part of the fsbrain package itself. They are downloaded on demand from a public web server (https://rcmd.org/projects/nitestdata/) into a local package file cache managed by the 'pkgfilecache' package. Users must comply with the respective licenses of the data they download.