netneurotools.datasets.fetch_civet

netneurotools.datasets.fetch_civet(density='41k', version='v1', force=False, data_dir=None, verbose=1)

Fetch CIVET surface files.

This dataset contains

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

Parameters:

• density ({‘41k’, ‘164k’}, optional) – Which density of the CIVET-space geometry files to fetch. The high-resolution ‘164k’ surface only exists for version ‘v2’

• version ({‘v1, ‘v2’}, optional) – Which version of the CIVET surfaces to use. Default: ‘v2’

Returns:

filenames – Dictionary-like object with keys [‘mid’, ‘white’] containing geometry files for CIVET surface. Note for version ‘v1’ the ‘mid’ and ‘white’ files are identical.

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.