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_fiac_first_level#

nilearn.datasets.fetch_fiac_first_level(data_dir=None, verbose=1)[source]#

Download a first-level fiac fMRI dataset (2 runs).

Parameters:
data_dirpathlib.Path or str, 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.

verboseint, default=1

Verbosity level (0 means no message).

Returns:
datasklearn.datasets.base.Bunch

Dictionary-like object, the interest attributes are:

  • ‘design_matrix1’: str. Path to design matrix .npz file of run 1

  • ‘func1’: str. Path to Nifti file of run 1

  • ‘design_matrix2’: str. Path to design matrix .npz file of run 2

  • ‘func2’: str. Path to Nifti file of run 2

  • ‘mask’: str. Path to mask file

  • ‘description’: str. Data description

Examples using nilearn.datasets.fetch_fiac_first_level#

Simple example of two-runs fMRI model fitting

Simple example of two-runs fMRI model fitting