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This dataset contains segmentations of 72 white matter tracts obtained from 105 subjects included in the Human Connectome Project (HCP) Young Adult dataset (https://www.humanconnectome.org/study/hcp-young-adult). The folder names in the source archive correspond to the HCP subject IDs. This dataset contains only tracts; the original DWI data must be downloaded separately from the HCP website (free registration required).

Details

The included bundles are stored as objects of class fiber::bundle. A fiber::bundle object is an S7 class which has two slots: @streamlines and @bundle_data, where:

  • @streamlines is a list of fiber::streamline objects, which, in turn, are S7 classes with slots @points, @point_data and @streamline_data.

  • @bundle_data is a list of metadata about the bundle, such as its name, where it was extracted from, etc.

More details about the format of the data can be found in the documentation of the fiber package.

TractSeg

Per-subject white matter bundle segmentations generated with TractSeg from 105 HCP subjects. Each bundle is hosted in a dedicated GitHub release (tractseg-<bundle_name>). Assets are named TractSeg_<subject_id>_<bundle_name>.rds.

License

The TractSeg data are redistributed under the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) license, consistent with the original Zenodo dataset. Non-commercial use only. See https://creativecommons.org/licenses/by-nc/4.0/.

Attribution and Citation

Please cite the original TractSeg publication when using or redistributing this data:

Wasserthal, J., Neher, P., & Maier-Hein, K. H. (2018). TractSeg – Fast and accurate white matter tract segmentation. NeuroImage, 183, 239–253. https://doi.org/10.1016/j.neuroimage.2018.07.070

Raw data archived at Zenodo: https://zenodo.org/records/1477956 (DOI: 10.5281/zenodo.1477956).

HCP Data Terms

The source tractograms are derived from the Human Connectome Project Young Adult dataset. Users must comply with the applicable HCP data-use terms and acknowledgment requirements.

Modifications

The original .trk streamline files from the Zenodo archive have been converted to R fiber::bundle objects and serialised as .rds files using the mascot package pipeline. No spatial or statistical modifications were made to the streamline data. Bundles are split one per GitHub release tag.

Disclaimer

This redistribution does not imply endorsement by the original authors, DKFZ, Zenodo, HCP, or any affiliated institution. The original authors are listed as contributors (ctb) in the package DESCRIPTION to acknowledge their authorship of the source data; this does not imply their endorsement of the mascot package.

References

Wasserthal, J., Neher, P., & Maier-Hein, K. H. (2018). TractSeg – Fast and accurate white matter tract segmentation. NeuroImage, 183, 239–253. doi:10.1016/j.neuroimage.2018.07.070