Note
This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the user guide for the big picture.
nilearn.datasets.fetch_surf_nki_enhanced#
- nilearn.datasets.fetch_surf_nki_enhanced(n_subjects=10, data_dir=None, url=None, resume=True, verbose=1)[source]#
Download and load the NKI enhanced resting-state dataset, preprocessed and projected to the fsaverage5 space surface.
See 1.
Direct download link 2.
New in version 0.3.
- Parameters
- n_subjectsint, optional
The number of subjects to load from maximum of 102 subjects. By default, 10 subjects will be loaded. If None is given, all 102 subjects will be loaded. Default=10.
- data_dir
pathlib.Path
orstr
, optional Path where data should be downloaded. By default, files are downloaded in home directory.
- url
str
, optional URL of file to download. Override download URL. Used for test only (or if you setup a mirror of the data). Default=None.
- resume
bool
, optional Whether to resume download of a partly-downloaded file. Default=True.
- verbose
int
, optional Verbosity level (0 means no message). Default=1.
- Returns
- datasklearn.datasets.base.Bunch
Dictionary-like object, the interest attributes are :
- ‘func_left’: Paths to Gifti files containing resting state
time series left hemisphere
- ‘func_right’: Paths to Gifti files containing resting state
time series right hemisphere
- ‘phenotypic’: array containing tuple with subject ID, age,
dominant hand and sex for each subject.
‘description’: data description of the release and references.
References
- 1
Kate Nooner, Stanley Colcombe, Russell Tobe, Maarten Mennes, Melissa Benedict, Alexis Moreno, Laura Panek, Shaquanna Brown, Stephen Zavitz, Qingyang Li, Sharad Sikka, David Gutman, Saroja Bangaru, Rochelle Tziona Schlachter, Stephanie Kamiel, Ayesha Anwar, Caitlin Hinz, Michelle Kaplan, Anna Rachlin, Samantha Adelsberg, Brian Cheung, Ranjit Khanuja, Chaogan Yan, Cameron Craddock, Vincent Calhoun, William Courtney, Margaret King, Dylan Wood, Christine Cox, Clare Kelly, Adriana DiMartino, Eva Petkova, Philip Reiss, Nancy Duan, Dawn Thompsen, Bharat Biswal, Barbara Coffey, Matthew Hoptman, Daniel Javitt, Nunzio Pomara, John Sidtis, Harold Koplewicz, Francisco Castellanos, Bennett Leventhal, and Michael Milham. The nki-rockland sample: a model for accelerating the pace of discovery science in psychiatry. Frontiers in Neuroscience, 6:152, 2012. URL: https://www.frontiersin.org/article/10.3389/fnins.2012.00152, doi:10.3389/fnins.2012.00152.
- 2
Nki enhanced resting-state dataset. http://fcon_1000.projects.nitrc.org/indi/enhanced/. Accessed: 2021-05-21.
Examples using nilearn.datasets.fetch_surf_nki_enhanced
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Seed-based connectivity on the surface