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_spm_auditory¶

nilearn.datasets.fetch_spm_auditory(data_dir=None, data_name='spm_auditory', verbose=1)[source]¶

Fetch SPM auditory single-subject data.

See SPM auditory single-subject data[1].

Parameters:

data_dirpathlib.Path or str or None, 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 also nilearn.datasets.utils.get_data_dirs.
data_namestr, default=’spm_auditory’: Name of the dataset.
verbosebool or int, default=1: Verbosity level (0 or False means no message).

Returns:

datasklearn.utils.Bunch

Dictionary-like object, the interest attributes are:

‘anat’: list of str.
Paths to anat images
‘func’: list of str.
Paths to functional images
‘events’: list of str.
Paths to events.tsv files
‘description’: str.
Data description
‘t_r’float.
Repetition time in seconds of the functional images.

Notes

If the dataset files are already present in the user’s Nilearn data directory, this fetcher will not re-download them. To force a fresh download, you can remove the existing dataset folder from your local Nilearn data directory.

For more details on how Nilearn stores datasets.

References

Examples using `nilearn.datasets.fetch_spm_auditory`¶

Intro to GLM Analysis: a single-run, single-subject fMRI dataset

Plotting images with transparent thresholding

Predicted time series and residuals

nilearn.datasets.fetch_spm_auditory¶

Examples using nilearn.datasets.fetch_spm_auditory¶

Examples using `nilearn.datasets.fetch_spm_auditory`¶