netneurotools.datasets.fetch_civet_curated

netneurotools.datasets.fetch_civet_curated(version='civet41k', force=False, data_dir=None, verbose=1)

Download files for CIVET template.

Curated by neuromaps.

This dataset contains

If you used this data, please cite 1, 2, 3, 4.

Parameters:

version ({‘civet41k’, ‘civet164k’}, optional) – Which density of the CIVET-space geometry files to fetch.

Returns:

filenames – Dictionary-like object with template files.

Return type:

sklearn.utils.Bunch

Other Parameters:

• force (bool, optional) – If True, will overwrite existing dataset. Default: False

• data_dir (str, optional) – Path to use as data directory. If not specified, will check for environmental variable ‘NNT_DATA’; if that is not set, will use ~/nnt-data instead. Default: None

• verbose (int, optional) – Modifies verbosity of download, where higher numbers mean more updates. Default: 1

Notes

License: https://github.com/aces/CIVET_Full_Project/blob/master/LICENSE

References

[1]

Oliver Lyttelton, Maxime Boucher, Steven Robbins, and Alan Evans. An unbiased iterative group registration template for cortical surface analysis. Neuroimage, 34(4):1535–1544, 2007.

[2]

Vladimir S Fonov, Alan C Evans, Robert C McKinstry, C Robert Almli, and DL Collins. Unbiased nonlinear average age-appropriate brain templates from birth to adulthood. NeuroImage, 47:S102, 2009.

[3]

Y Ad-Dab’bagh, O Lyttelton, J Muehlboeck, C Lepage, D Einarson, K Mok, O Ivanov, R Vincent, J Lerch, and E Fombonne. The civet image-processing environment: a fully automated comprehensive pipeline for anatomical neuroimaging research. proceedings of the 12th annual meeting of the organization for human brain mapping. Florence, Italy, pages 2266, 2006.

[4]

Ross D Markello, Justine Y Hansen, Zhen-Qi Liu, Vincent Bazinet, Golia Shafiei, Laura E Suárez, Nadia Blostein, Jakob Seidlitz, Sylvain Baillet, Theodore D Satterthwaite, and others. Neuromaps: structural and functional interpretation of brain maps. Nature Methods, 19(11):1472–1479, 2022.