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)[source]¶
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.
For more information see the dataset description.
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 Nilearn 0.8.1.
- Parameters:
- resolution
intor None, default=None Resolution in millimeters. If resolution is different from 1, the template is re-sampled with the specified resolution. Default to
1if None is passed.- threshold
float, 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.
- resolution
- Returns:
- gm_mask_imgNifti1Image, image corresponding to the grey-matter mask.
See also
nilearn.datasets.load_mni152_gm_templatefor details about version of the MNI152 grey-matter template and related.
