code: def expected_parameters(strategy_keywords):
      expectation = {
          "compcor": {"compcor": "anat_combined", "n_compcor": 6},
          "ica_aroma": {"ica_aroma": "basic"},
      }
      if strategy_keywords in expectation:
          return expectation[strategy_keywords]
      elif strategy_keywords != "high_pass":
          return {strategy_keywords: "full"}
      else:
          return False
  
file_path: nilearn/nilearn/interfaces/fmriprep/tests/test_load_confounds_components.py
imports: import pandas
  import pytest
  from nilearn.interfaces.fmriprep import load_confounds
  from nilearn.interfaces.fmriprep.load_confounds import _load_noise_component
  from nilearn.interfaces.fmriprep.load_confounds_utils import load_confounds_json
  from nilearn.interfaces.fmriprep.tests._testing import create_tmp_filepath
label_desc: Use image node_id 1 for calling a global function with example usage: expected_parameters(strategy_keywords) and returns: expectation, dict, False