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_adhd#

nilearn.datasets.fetch_adhd(n_subjects=30, data_dir=None, url=None, resume=True, verbose=1)[source]#

Download and load the ADHD resting-state dataset.

See [1].

Parameters:
n_subjectsint, optional

The number of subjects to load from maximum of 40 subjects. By default, 30 subjects will be loaded. If None is given, all 40 subjects will be loaded. Default=30.

data_dirpathlib.Path or str, optional

Path where data should be downloaded. By default, files are downloaded in home directory.

urlstr, optional

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

resumebool, optional

Whether to resume download of a partly-downloaded file. Default=True.

verboseint, optional

Verbosity level (0 means no message). Default=1.

Returns:
datasklearn.datasets.base.Bunch

Dictionary-like object, the interest attributes are :

  • ‘func’: Paths to functional resting-state images

  • ‘phenotypic’: Explanations of preprocessing steps

  • ‘confounds’: CSV files containing the nuisance variables

References

Examples using nilearn.datasets.fetch_adhd#

Visualizing global patterns with a carpet plot

Visualizing global patterns with a carpet plot

Visualizing global patterns with a carpet plot
Default Mode Network extraction of ADHD dataset

Default Mode Network extraction of ADHD dataset

Default Mode Network extraction of ADHD dataset