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_neurovault_auditory_computation_task

nilearn.datasets.fetch_neurovault_auditory_computation_task(data_dir=None, verbose=1)

Fetch a contrast map from Neurovault showing the effect of mental subtraction upon auditory instructions.

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:

dataBunch

A dict-like object which exposes its items as attributes. It contains:

• ‘images’, the paths to downloaded files.

• ‘images_meta’, the metadata for the images in a list of dictionaries.

• ‘collections_meta’, the metadata for the collections.

• ‘description’, a short description of the Neurovault dataset.

See also

nilearn.datasets.fetch_neurovault_ids

nilearn.datasets.fetch_neurovault

nilearn.datasets.fetch_neurovault_motor_task

Notes

The ‘auditory_calculation_vs_baseline’ contrast is used: https://neurovault.org/images/32980/

Examples using nilearn.datasets.fetch_neurovault_auditory_computation_task

Region Extraction using a t-statistical map (3D)

Region Extraction using a t-statistical map (3D)