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_wm_mask

nilearn.datasets.load_mni152_wm_mask(resolution=None, threshold=0.2, n_iter=2)[source]

Load the MNI152 white-matter mask.

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

Nilearn MNI template

The Nilearn template is asymmetrical ICBM152 2009, release a.

The default template of fMRIPrep is the asymmetrical ICBM152 2009, release c (MNI152NLin2009cSAsym).

If you wish to use the exact same release as fMRIPrep, please refer to TemplateFlow.

Added in version 0.8.1.

Parameters:
resolutionint or None, default=None

Resolution in millimeters. If resolution is different from 1, the template is re-sampled with the specified resolution. Default to 1 if None is passed.

thresholdfloat, default=0.2

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

n_iterint, default=2

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

Returns:
wm_mask_imgNifti1Image, image corresponding to the white-matter mask.

See also

nilearn.datasets.load_mni152_wm_template

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

Notes

For more information see the dataset description.

Examples using nilearn.datasets.load_mni152_wm_mask

Plotting images with transparent thresholding

Plotting images with transparent thresholding