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.load_mni152_gm_mask

nilearn.datasets.load_mni152_gm_mask(resolution=None, threshold=0.2, n_iter=2)

Load the MNI152 grey-matter mask.

This function takes the grey-matter MNI152 template and threshold it, in order to obtain the corresponding grey-matter mask.

New in version 0.8.1.

Parameters:

resolution: int, default=1

If resolution is different from 1, the template loaded is first re-sampled with the specified resolution.

thresholdfloat, default=0.2

Values of the grey-matter MNI152 template above this threshold will be included.

n_iter: int, default=2

Number of repetitions of dilation and erosion steps performed in scipy.ndimage.binary_closing function.

Returns:

gm_mask_imgNifti1Image, image corresponding to the grey-matter mask.

See also

nilearn.datasets.load_mni152_gm_template

for details about version of the MNI152 grey-matter template and related.

Notes

Refer to load_mni152_gm_template function for more information about the MNI152 grey-matter template.