code: def full_brain_info(
      volume_img,
      mesh="fsaverage5",
      threshold=None,
      cmap=cm.cold_hot,
      black_bg=False,
      symmetric_cmap=True,
      bg_on_data=False,
      darkness=0.7,
      vmax=None,
      vmin=None,
      vol_to_surf_kwargs={},
  ):
      """Deprecate public function. See _full_brain_info."""
      warn(
          category=DeprecationWarning,
          message="full_brain_info is a private function and is renamed to "
          "_full_brain_info. Using the deprecated name will raise an error "
          "in release 0.13",
      )
  
      return _full_brain_info(
          volume_img,
          mesh=mesh,
          threshold=threshold,
          cmap=cmap,
          black_bg=black_bg,
          symmetric_cmap=symmetric_cmap,
          bg_on_data=bg_on_data,
          darkness=darkness,
          vmax=vmax,
          vmin=vmin,
          vol_to_surf_kwargs=vol_to_surf_kwargs,
      )
  
imports: import collections.abc
  import json
  from warnings import warn
  import matplotlib
  import matplotlib.pyplot
  import numpy
  from nilearn import datasets, surface
  from nilearn._utils import fill_doc
  from nilearn._utils.niimg_conversions import check_niimg_3d
  from nilearn.plotting import cm
  from nilearn.plotting.html_document import HTMLDocument
  from nilearn.plotting.js_plotting_utils import add_js_lib, colorscale, get_html_template, mesh_to_plotly, to_color_strings
label_desc: Use image node_id 6 for calling a global function with example usage: full_brain_info(volume_img, mesh, threshold, cmap, black_bg, symmetric_cmap, bg_on_data, darkness, vmax, vmin, vol_to_surf_kwargs) and returns: _full_brain_info