Schaefer 2018 atlas

Access

See nilearn.datasets.fetch_atlas_schaefer_2018.

Notes

This atlas (Schaefer 2018 parcellation[1]) provides a labeling of cortical voxels in the MNI152 space, see Schaefer et al.[2]. Each ROI is annotated with a network from the parcellation (7- or 17-network solution; see Thomas Yeo et al.[3]).

Different versions of the atlas are available, varying in - number of rois (100 to 1000), - network annotation (7 or 17) - spatial resolution of the atlas (1 or 2 mm)

Direct download link: https://raw.githubusercontent.com/ThomasYeoLab/CBIG/v0.14.3-Update_Yeo2011_Schaefer2018_labelname/stable_projects/brain_parcellation/Schaefer2018_LocalGlobal/Parcellations/MNI/

Release v0.14.3 of the Schaefer 2018 parcellation is used by default. Versions prior to v0.14.3 are known to contain erroneous region label names. For more details, see https://github.com/ThomasYeoLab/CBIG/blob/master/stable_projects/brain_parcellation/Schaefer2018_LocalGlobal/Parcellations/Updates/Update_20190916_README.md

Content

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

• labels: list of str. List of the names of the regions.

• lut: pandas.DataFrame. Act as a look up table (lut) with at least columns ‘index’ and ‘name’. Formatted according to ‘dseg.tsv’ format from BIDS.

• maps: str. Full path to nifti file containing the 3D nifti image (its shape is (182, 218, 182)). The values are consecutive integers between 0 and n_rois which can be interpreted as indices in the list of labels.

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

References

[1]

Schaefer 2018 parcellation. https://github.com/ThomasYeoLab/CBIG/tree/v0.14.3-Update_Yeo2011_Schaefer2018_labelname/stable_projects/brain_parcellation/Schaefer2018_LocalGlobal/Parcellations. Accessed: 2021-05-19.

[2]

Alexander Schaefer, Ru Kong, Evan M Gordon, Timothy O Laumann, Xi-Nian Zuo, Avram J Holmes, Simon B Eickhoff, and B T Thomas Yeo. Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI. Cerebral Cortex, 28(9):3095–3114, 07 2017. doi:10.1093/cercor/bhx179.

[3]

B. T. Thomas Yeo, Fenna M. Krienen, Jorge Sepulcre, Mert R. Sabuncu, Danial Lashkari, Marisa Hollinshead, Joshua L. Roffman, Jordan W. Smoller, Lilla Zöllei, Jonathan R. Polimeni, Bruce Fischl, Hesheng Liu, and Randy L. Buckner. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. Journal of Neurophysiology, 106(3):1125–1165, 2011. PMID: 21653723. doi:10.1152/jn.00338.2011.

License

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