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', subject_id='sub001', verbose=1)[source]#
Fetch SPM auditory single-subject data.
See [1].
- Parameters:
- data_dir
pathlib.Pathorstr, optional Path where data should be downloaded. By default, files are downloaded in home directory.
- data_namestring, optional
Name of the dataset. Default=’spm_auditory’.
- subject_idstring, optional
Indicates which subject to retrieve. Default=’sub001’.
- verbose
int, default=1 Verbosity level (0 means no message).
- data_dir
- Returns:
- datasklearn.datasets.base.Bunch
Dictionary-like object, the interest attributes are: - ‘func’: string list. Paths to functional images - ‘anat’: string list. Path to anat image
References
Examples using nilearn.datasets.fetch_spm_auditory#
Intro to GLM Analysis: a single-session, single-subject fMRI dataset
Intro to GLM Analysis: a single-session, single-subject fMRI dataset
