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.

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).

For more information see the dataset description.

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.

verbosebool or int, default=1

Verbosity level (0 or False means no message).

Returns:
datasklearn.utils.Bunch

Dictionary-like object, contains:

  • design_matrix1: pandas.DataFrame. Design matrix of run 1.

  • design_matrix2: pandas.DataFrame. Design matrix of run 2.

  • func1: str. Full path to 4D nifti file of run 1.

  • func2: str. Full path to 4D nifti file of run 2.

  • mask: str. Full path to 3D nifti mask.

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.

Examples using nilearn.datasets.fetch_fiac_first_level

Simple example of two-runs fMRI model fitting

Simple example of two-runs fMRI model fitting