Craddock 2012 atlas

Access

See nilearn.datasets.fetch_atlas_craddock_2012.

Notes

Atlas from (Craddock et al.[1]).

Collection of regions of interest (ROI) that have been generated from applying spatially constrained clustering on resting-state data.

Several clustering statistics are used to compare methodological trade-offs as well as to determine an adequate number of clusters. The proposed functional and random parcellations perform equivalently for most of the metrics evaluated. The online release also contains the scripts to derive these ROI atlases by using spatially constrained Ncut spectral clustering.

See Craddock et al.[1] and Spatially Constrained Parcellation[2] for more information on this parcellation.

For more information on this dataset’s structure, see https://www.nitrc.org/projects/cluster_roi/

Content

  • atlas_type: str. Type of atlas. See Probabilistic atlas and Deterministic atlas.

  • random: str. Full path to 4D nifti file (with shape (47, 56, 46, 43)) containing the parcellation obtained with random clustering (for comparison).

  • scorr_2level: str. Full path to 4D nifti file (with shape (47, 56, 46, 43)) containing the parcellation results when emphasizing spatial homogeneity

  • scorr_mean: str. Full path to 4D nifti file (with shape (47, 56, 46, 43)) containing the group-mean parcellation results when emphasizing spatial homogeneity

  • tcorr_2level: str. Full path to 4D nifti file (with shape (47, 56, 46, 43)) containing the parcellation results when emphasizing temporal homogeneity

  • tcorr_mean: str. Full path to 4D nifti file (with shape (47, 56, 46, 43)) containing the group-mean parcellation results when emphasizing temporal homogeneity

  • template: str. The standardized space of analysis in which the data is provided.

References

License

Creative Commons Attribution Non-commercial Share Alike.