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.plotting.find_parcellation_cut_coords#

nilearn.plotting.find_parcellation_cut_coords(labels_img, background_label=0, return_label_names=False, label_hemisphere='left')[source]#

Return coordinates of center of mass of 3D parcellation atlas.

Parameters:
labels_img3D Nifti1Image

A brain parcellation atlas with specific mask labels for each parcellated region.

background_labelint, optional

Label value used in labels_img to represent background. Default=0.

return_label_namesbool, optional

Returns list of labels. Default=False.

label_hemisphere‘left’ or ‘right’, optional

Choice of hemisphere to compute label center coords for. Applies only in cases where atlas labels are lateralized. Eg. Yeo or Harvard Oxford atlas. Default=’left’.

Returns:
coordsnumpy.ndarray of shape (n_labels, 3)

Label regions cut coordinates in image space (mm).

labels_listlist, 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)

Examples using nilearn.plotting.find_parcellation_cut_coords#

Comparing connectomes on different reference atlases

Comparing connectomes on different reference atlases

Comparing connectomes on different reference atlases
Extract signals on spheres and plot a connectome

Extract signals on spheres and plot a connectome

Extract signals on spheres and plot a connectome