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.

7.2.22. nilearn.datasets.fetch_surf_nki_enhanced

nilearn.datasets.fetch_surf_nki_enhanced(n_subjects=10, data_dir=None, url=None, resume=True, verbose=1)
Download and load the NKI enhanced resting-state dataset,
preprocessed and projected to the fsaverage5 space surface.

New in version 0.3.

Parameters:

n_subjects: int, 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.

data_dir: str, optional

Path of the data directory. Used to force data storage in a specified location. Default: None

url: str, optional

Override download URL. Used for test only (or if you setup a mirror of the data). Default: None

resume: bool, optional (default True)

If True, try resuming download if possible.

verbose: int, optional (default 1)

Defines the level of verbosity of the output.

Returns:

data: sklearn.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

Download:http://fcon_1000.projects.nitrc.org/indi/enhanced/

Nooner et al, (2012). The NKI-Rockland Sample: A model for accelerating the pace of discovery science in psychiatry. Frontiers in neuroscience 6, 152. URL http://dx.doi.org/10.3389/fnins.2012.00152

7.2.22.1. Examples using nilearn.datasets.fetch_surf_nki_enhanced