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_dirpathlib.Path or str, optional

Path where data should be downloaded. By default, files are downloaded in home directory.

verboseint, optional

Verbosity level (0 means no message). Default=1.

Returns:
datasklearn.datasets.base.Bunch

Dictionary-like object, with the keys: epi_img: the input 4D image events: a csv file describing the paardigm

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

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

Example of surface-based first-level analysis
Understanding parameters of the first-level model

Understanding parameters of the first-level model

Understanding parameters of the first-level model