code: def test_connected_regions_4D(maps, extract_type):
      """Regions extracted should be equal or more than already present."""
      connected_extraction_img, index = connected_regions(
          maps, min_region_size=10, extract_type=extract_type
      )
      assert connected_extraction_img.shape[-1] >= N_REGIONS
      assert index, np.ndarray
  
imports: import numpy
  import pytest
  from nibabel import Nifti1Image
  from scipy.ndimage import label
  from nilearn._utils.data_gen import generate_labeled_regions, generate_maps
  from nilearn._utils.exceptions import DimensionError
  from nilearn.conftest import _affine_eye, _img_4d_zeros, _shape_3d_default
  from nilearn.image import get_data
  from nilearn.regions import RegionExtractor, connected_label_regions, connected_regions
  from nilearn.regions.region_extractor import _remove_small_regions, _threshold_maps_ratio
label_desc: Use image node_id 11 for calling a global function with example usage: test_connected_regions_4D(maps, extract_type) without return types