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 Nooner et al.[1].
Direct download link NKI enhanced resting-state dataset[2].
Added in version 0.3.
- Parameters:
- n_subjects
int
, default=10 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.
- data_dir
pathlib.Path
orstr
, optional Path where data should be downloaded. By default, files are downloaded in a
nilearn_data
folder in the home directory of the user. See alsonilearn.datasets.utils.get_data_dirs
.- url
str
, default=None URL of file to download. Override download URL. Used for test only (or if you setup a mirror of the data).
- resume
bool
, default=True Whether to resume download of a partly-downloaded file.
- verbose
int
, default=1 Verbosity level (0 means no message).
- n_subjects
- 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.
- Note that the it may be necessary
- to coerce to float the data loaded from the Gifti files
- to avoid issues with scipy >= 0.14.0.
References
Examples using nilearn.datasets.fetch_surf_nki_enhanced
¶
Seed-based connectivity on the surface