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_localizer_first_level¶
- nilearn.datasets.fetch_localizer_first_level(data_dir=None, verbose=1)[source]¶
Download a first-level localizer fMRI dataset.
- Parameters:
- data_dir
pathlib.Path
orstr
, 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 alsonilearn.datasets.utils.get_data_dirs
.- verbose
int
, default=1 Verbosity level (0 means no message).
- data_dir
- Returns:
- datasklearn.datasets.base.Bunch
Dictionary-like object, with the keys: epi_img: the input 4D image events: a csv file describing the paradigm description: data description
Examples using nilearn.datasets.fetch_localizer_first_level
¶
Analysis of an fMRI dataset with a Finite Impule Response (FIR) model
Analysis of an fMRI dataset with a Finite Impule Response (FIR) model
Example of surface-based first-level analysis
Example of surface-based first-level analysis
Understanding parameters of the first-level model
Understanding parameters of the first-level model