code: def find_probabilistic_atlas_cut_coords(maps_img):
      """Return coordinates of center \
         :term:`probabilistic atlas<Probabilistic atlas>` 4D image.
  
      Parameters
      ----------
      maps_img : 4D Nifti1Image
          A probabilistic brain atlas with probabilistic masks in the fourth
          dimension.
  
      Returns
      -------
      coords : numpy.ndarray of shape (n_maps, 3)
          Label regions cut coordinates in image space (mm).
  
      See Also
      --------
      nilearn.plotting.find_parcellation_cut_coords : For coordinates
          extraction on parcellations denoted with labels (3D)
          (Eg. Harvard Oxford atlas)
  
      """
      maps_img = check_niimg_4d(maps_img)
      maps_imgs = iter_img(maps_img)
      coords = [find_xyz_cut_coords(img) for img in maps_imgs]
      return np.array(coords)
  
file_path: nilearn/nilearn/plotting/find_cuts.py
imports: import numbers
  import warnings
  import numpy
  from scipy.ndimage import center_of_mass, find_objects, label
  from nilearn.image import get_data
  from .._utils import check_niimg_3d, check_niimg_4d
  from .._utils.extmath import fast_abs_percentile
  from .._utils.ndimage import largest_connected_component
  from .._utils.niimg import safe_get_data
  from .._utils.numpy_conversions import as_ndarray
  from ..image import iter_img, new_img_like, reorder_img
  from ..image.image import smooth_array
  from ..image.resampling import coord_transform, get_mask_bounds
label_desc: Use image node_id 6 for calling a global function with example usage: find_probabilistic_atlas_cut_coords(maps_img) and returns: np