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 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 also Spatially Constrained Parcellation[2]

Content

‘random’:

result of random clustering for comparison

‘scorr_2level’:

parcellation results when emphasizing spatial homogeneity

‘scorr_mean’:

group-mean parcellation results when emphasizing spatial homogeneity

‘tcorr_2level’:

parcellation results when emphasizing temporal homogeneity

‘tcorr_mean’:

group-mean parcellation results when emphasizing temporal homogeneity

References

[1]

R. Cameron Craddock, G.Andrew James, Paul E. Holtzheimer III, Xiaoping P. Hu, and Helen S. Mayberg. A whole brain fmri atlas generated via spatially constrained spectral clustering. Human Brain Mapping, 33(8):1914–1928, 2012. doi:10.1002/hbm.21333.

[2]

Spatially constrained parcellation. https://www.nitrc.org/projects/cluster_roi/. Accessed: 2021-05-11.

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

License

Creative Commons Attribution Non-commercial Share Alike. See Licence: Creative Commons Attribution Non-commercial Share Alike[3] for more information.