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.
8.10.3. nilearn.plotting.find_parcellation_cut_coords¶
nilearn.plotting.find_parcellation_cut_coords(labels_img, background_label=0, return_label_names=False, label_hemisphere='left')¶Return coordinates of center of mass of 3D parcellation atlas
Parameters: labels_img: 3D Nifti1Image
A brain parcellation atlas with specific mask labels for each parcellated region.
background_label: int, optional (default 0)
Label value used in labels_img to represent background.
return_label_names: bool, optional (default False)
Returns list of labels
label_hemisphere: ‘left’ or ‘right’, optional (default ‘left’)
Choice of hemisphere to compute label center coords for. Applies only in cases where atlas labels are lateralized. Eg. Yeo or Harvard Oxford atlas.
Returns: coords: numpy.ndarray of shape (n_labels, 3)
Label regions cut coordinates in image space (mm).
labels_list: list, optional
Label region. Returned only when return_label_names is True.
See also
nilearn.plotting.find_probabilistic_atlas_cut_coords- For coordinates extraction on probabilistic atlases (4D) (Eg. MSDL atlas)
