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_multimodal_fmri#
- nilearn.datasets.fetch_spm_multimodal_fmri(data_dir=None, data_name='spm_multimodal_fmri', subject_id='sub001', verbose=1)[source]#
Fetcher for Multi-modal Face Dataset.
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_multimodal_fmri’.
- subject_idstring, optional
Indicates which subject to retrieve. Default=’sub001’.
- verbose
int, optional Verbosity level (0 means no message). Default=1.
- data_dir
- Returns
- datasklearn.datasets.base.Bunch
Dictionary-like object, the interest attributes are: - ‘func1’: string list. Paths to functional images for session 1 - ‘func2’: string list. Paths to functional images for session 2 - ‘trials_ses1’: string list. Path to onsets file for session 1 - ‘trials_ses2’: string list. Path to onsets file for session 2 - ‘anat’: string. Path to anat file
References
- 1
Spm multi-modal face dataset. http://www.fil.ion.ucl.ac.uk/spm/data/mmfaces/. Accessed: 2021-05-19.
Examples using nilearn.datasets.fetch_spm_multimodal_fmri#
Single-subject data (two sessions) in native space