old_contents: # TODO : populate after development is done
  from nilearn import plotting as nplt
  
  
  def plot_anat(anat_img, **kwargs):
      nplt.plot_anat(anat_img, **kwargs)
      return
  
  
  def plot_epi(epi_img, **kwargs):
      nplt.plot_epi(epi_img, **kwargs)
      return
  
  
  def plot_stat_map(stat_img, bg_img, **kwargs):
      nplt.plot_stat_map(stat_img, bg_img, **kwargs)
      return
  
  
  def plot_roi(roi, bg, **kwargs):
      nplt.plot_roi(roi, bg, **kwargs)
      return
  
  
  def plot_connectome(mat, coords, **kwargs):
      nplt.plot_connectome(mat, coords)
      return
new_contents: # TODO : populate after development is done
  from nilearn import plotting as nplt
  from .utils import unmask_img
  
  
  def plot_anat(anat_img, **kwargs):
      nplt.plot_anat(anat_img, **kwargs)
      return
  
  
  def plot_epi(epi_img, **kwargs):
      nplt.plot_epi(epi_img, **kwargs)
      return
  
  
  def plot_stat_map(stat_img, bg_img, **kwargs):
      nplt.plot_stat_map(stat_img, bg_img, **kwargs)
      return
  
  
  def plot_roi(roi, bg, **kwargs):
      nplt.plot_roi(roi, bg, **kwargs)
      return
  
  
  def plot_connectome(mat, coords, **kwargs):
      nplt.plot_connectome(mat, coords, **kwargs)
      return
  
  
  def plot_masked(mat, mask, **kwargs):
      nplt.plot_stat_map(unmask_img(mat, mask), **kwargs)
      return
  
subject: add stat map plotting