Allen 2011 atlas

Access

See nilearn.datasets.fetch_atlas_allen_2011.

Notes

Collection of resting-state network templates extracted from the esting-state networks of 603 healthy adolescents and adults (mean age: 23.4 years, range: 12-71 years)

The provided images are in MNI152 space.

Data were collected on the same scanner, preprocessed using an automated analysis pipeline based in SPM, and studied using group independent component analysis. RSNs were identified and evaluated in terms of three primary outcome measures: time course spectral power, spatial map intensity, and functional network connectivity.

For more information on this dataset’s structure, see: https://trendscenter.org/data/

Slices and label of the RSN ICs: https://www.frontiersin.org/files/Articles/2093/fnsys-05-00002-HTML/image_m/fnsys-05-00002-g004.jpg

Direct download link from OSF: https://osf.io/hrcku

Content

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

  • comps: str. Full path to 4D nifti file containing the aggregate ICA components.

  • maps: str. Full path to 4D nifti file containing T-maps of all 75 unthresholded components. The image has shape (53, 63, 46, 75).

  • networks: list of list of str. Names for the 28 resting state networks.

  • rsn28: str. Full path to 4D nifti file containing the 28 resting state networks from Allen et al 2011. The image has shape (53, 63, 46, 28).

  • rsn_indices: list of tuple of (str, list of int). This maps the network names to the map indices. For example, the map indices for the ‘Visual’ network can be obtained with dict(data.rsn_indices)['Visual]

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

References

License

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