netneurotools.datasets.fetch_fslr_curated

netneurotools.datasets.fetch_fslr_curated(version='fslr32k', force=False, data_dir=None, verbose=1)

Download files for HCP fsLR template.

Curated by neuromaps.

This dataset contains

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

Parameters:

version (str, optional) – One of {“fslr4k”, “fslr8k”, “fslr32k”, “fslr164k”}. Default: ‘fslr32k’

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

References

[1]

David C Van Essen, Kamil Ugurbil, Edward Auerbach, Deanna Barch,Timothy EJ Behrens, Richard Bucholz, Acer Chang, Liyong Chen, Maurizio Corbetta, Sandra W Curtiss, and others. The human connectome project: a data acquisition perspective. Neuroimage, 62(4):2222–2231, 2012.

[2]

Matthew F Glasser, Stamatios N Sotiropoulos, J Anthony Wilson, Timothy S Coalson, Bruce Fischl, Jesper L Andersson, Junqian Xu, Saad Jbabdi, Matthew Webster, Jonathan R Polimeni, and others. The minimal preprocessing pipelines for the human connectome project. Neuroimage, 80:105–124, 2013.

[3]

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.