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6 changes: 3 additions & 3 deletions nipype/algorithms/confounds.py
Original file line number Diff line number Diff line change
Expand Up @@ -599,19 +599,19 @@ class NonSteadyStateDetector(BaseInterface):
output_spec = NonSteadyStateDetectorOutputSpec

def _run_interface(self, runtime):
in_nii = nb.load(self.inputs.in_plots)
in_nii = nb.load(self.inputs.in_file)
global_signal = in_nii.get_data()[:,:,:,:50].mean(axis=0).mean(axis=0).mean(axis=0)

self._results = {
'out_file': _is_outlier(global_signal)
'n_volumes_to_discard': _is_outlier(global_signal)
}

return runtime

def _list_outputs(self):
return self._results

def _is_outlier(points, thresh=3.5):
def is_outlier(points, thresh=3.5):
"""
Returns a boolean array with True if points are outliers and False
otherwise.
Expand Down
4 changes: 2 additions & 2 deletions nipype/algorithms/tests/test_confounds.py
Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,7 @@
import pytest
from nipype.testing import example_data
from nipype.algorithms.confounds import FramewiseDisplacement, ComputeDVARS, \
_is_outlier
is_outlier
import numpy as np


Expand Down Expand Up @@ -71,5 +71,5 @@ def test_outliers(tmpdir):
in_data = np.random.randn(100)
in_data[0] += 10

assert _is_outlier(in_data) == 1
assert is_outlier(in_data) == 1