code: def index_to_xy_coord(x, y, z=10):
      """Transform data index to coordinates of the background + offset."""
      coords = coord_transform(
          x, y, z, affine=thresholded_score_map_img.affine
      )
      return np.array(coords)[np.newaxis, :] + np.array([0, 1, 0])
  
file_path: nilearn/examples/02_decoding/plot_miyawaki_encoding.py
imports: from nilearn.datasets import fetch_miyawaki2008
  import numpy
  from nilearn.maskers import MultiNiftiMasker
  import pylab
  from sklearn.linear_model import Ridge
  from sklearn.metrics import r2_score
  from sklearn.model_selection import KFold
  from nilearn.image import threshold_img
  from nilearn.image import coord_transform
  from nilearn.plotting import plot_stat_map
  from sklearn.linear_model import LassoLarsCV
  from sklearn.pipeline import make_pipeline
  from sklearn.preprocessing import StandardScaler
  from matplotlib import gridspec
  from matplotlib.patches import Rectangle
label_desc: Use image node_id 1 for calling a global function with example usage: index_to_xy_coord(x, y, z) and returns: unknown