code: def _load_non_steady_state(confounds_raw):
      """Find non steady state regressors.
  
      Parameters
      ----------
      confounds_raw : pandas.DataFrame
          DataFrame of confounds.
  
      Returns
      -------
      pandas.DataFrame
          DataFrame of non steady state regressors generated by fMRIPrep.
          If none were found, return an empty DataFrame.
      """
      nss_outliers = find_confounds(confounds_raw, ["non_steady_state"])
      if nss_outliers:
          return confounds_raw[nss_outliers]
      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 8 for calling a global function with example usage: _load_non_steady_state(confounds_raw) and returns: confounds_raw, pd