code: def _load_high_pass(confounds_raw):
      """Load the high pass filter regressors.
  
      Parameters
      ----------
      confounds_raw : pandas.DataFrame
          DataFrame of confounds.
  
      Returns
      -------
      pandas.DataFrame
          DataFrame of high pass filter regressors.
          If not present in file, return an empty DataFrame.
      """
      high_pass_params = find_confounds(confounds_raw, ["cosine"])
      if high_pass_params:
          return confounds_raw[high_pass_params]
      else:
          return pd.DataFrame()
  
file_path: nilearn/nilearn/interfaces/fmriprep/load_confounds_components.py
imports: import numpy
  import pandas
  from .load_confounds_compcor import find_compcor
  from .load_confounds_scrub import optimize_scrub
  from .load_confounds_utils import MissingConfound, add_suffix, check_params, find_confounds
label_desc: Use image node_id 2 for calling a global function with example usage: _load_high_pass(confounds_raw) and returns: confounds_raw, pd