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using function `plot_glass_brain`\n+\n+# Now, t-map image is overlayed on glass brain image as fixed background\n plotting.plot_glass_brain(localizer_tmap_filename, title='plot_glass_brain',\n                           threshold=3)\n \n ###############################################################################\n-# Plotting anatomical maps\n+# Plotting anatomical images using function `plot_anat`\n+\n+# Visualizing anatomical image of haxby dataset\n plotting.plot_anat(haxby_anat_filename, title=\"plot_anat\")\n \n ###############################################################################\n-# Plotting ROIs (here the mask)\n+# Plotting ROIs (here the mask) using function `plot_roi`\n+\n+# Visualizing ventral temporal region image from haxby dataset overlayed on\n+# subject specific anatomical image with coordinates positioned automatically on\n+# region of interest (roi)\n plotting.plot_roi(haxby_mask_filename, bg_img=haxby_anat_filename,\n                   title=\"plot_roi\")\n \n ###############################################################################\n-# Plotting EPI haxby\n+# Plotting EPI image using function `plot_epi`\n+\n+# Import image processing tool\n+from nilearn import image\n+\n+# compute mean of the functional image from haxby dataset in t 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