Node: fmriprep_wf.single_subject_201_wf.anat_preproc_wf.brain_extraction_wf.norm Working directory: /data/pt_02577/fmriprep_work/fmriprep_wf/single_subject_201_wf/anat_preproc_wf/brain_extraction_wf/norm Node inputs: args = collapse_output_transforms = True convergence_threshold = [1e-08, 1e-08, 1e-09] convergence_window_size = [10, 10, 15] dimension = 3 environ = {'NSLOTS': '1'} fixed_image = ['/home/fmriprep/.cache/templateflow/tpl-OASIS30ANTs/tpl-OASIS30ANTs_res-01_T1w.nii.gz', '/data/pt_02577/fmriprep_work/fmriprep_wf/single_subject_201_wf/anat_preproc_wf/brain_extraction_wf/lap_tmpl/tpl-OASIS30ANTs_res-01_T1w_maths.nii.gz'] fixed_image_mask = fixed_image_masks = ['/home/fmriprep/.cache/templateflow/tpl-OASIS30ANTs/tpl-OASIS30ANTs_res-01_desc-BrainCerebellumExtraction_mask.nii.gz'] float = True initial_moving_transform = ['/data/pt_02577/fmriprep_work/fmriprep_wf/single_subject_201_wf/anat_preproc_wf/brain_extraction_wf/init_aff/initialization.mat'] initial_moving_transform_com = initialize_transforms_per_stage = False interpolation = LanczosWindowedSinc interpolation_parameters = invert_initial_moving_transform = metric = ['MI', 'MI', ['CC', 'CC']] metric_item_trait = metric_stage_trait = metric_weight = [1.0, 1.0, [0.5, 0.5]] metric_weight_item_trait = 1.0 metric_weight_stage_trait = moving_image = ['/data/pt_02577/fmriprep_work/fmriprep_wf/single_subject_201_wf/anat_preproc_wf/brain_extraction_wf/inu_n4/mapflow/_inu_n40/sub-201_T1w_ras_valid_maths_corrected.nii', '/data/pt_02577/fmriprep_work/fmriprep_wf/single_subject_201_wf/anat_preproc_wf/brain_extraction_wf/lap_target/sub-201_T1w_ras_valid_maths_corrected_maths.nii'] moving_image_mask = moving_image_masks = num_threads = 1 number_of_iterations = [[1000, 500, 250, 100], [1000, 500, 250, 100], [50, 10, 0]] output_inverse_warped_image = output_transform_prefix = anat_to_template output_warped_image = True radius_bins_item_trait = 5 radius_bins_stage_trait = radius_or_number_of_bins = [32, 32, [4, 4]] restore_state = restrict_deformation = sampling_percentage = [0.25, 0.25, [1.0, 1.0]] sampling_percentage_item_trait = sampling_percentage_stage_trait = sampling_strategy = ['Regular', 'Regular', ['None', 'None']] sampling_strategy_item_trait = sampling_strategy_stage_trait = save_state = shrink_factors = [[8, 4, 2, 1], [8, 4, 2, 1], [4, 2, 1]] sigma_units = ['vox', 'vox', 'vox'] smoothing_sigmas = [[4.0, 2.0, 1.0, 0.0], [4.0, 2.0, 1.0, 0.0], [2.0, 1.0, 0.0]] transform_parameters = [(0.1,), (0.1,), (0.1, 3.0, 0.0)] transforms = ['Rigid', 'Affine', 'SyN'] use_estimate_learning_rate_once = use_histogram_matching = True verbose = True winsorize_lower_quantile = 0.025 winsorize_upper_quantile = 0.975 write_composite_transform = False Traceback (most recent call last): File "/opt/conda/lib/python3.8/site-packages/nipype/pipeline/plugins/multiproc.py", line 67, in run_node result["result"] = node.run(updatehash=updatehash) File "/opt/conda/lib/python3.8/site-packages/nipype/pipeline/engine/nodes.py", line 516, in run result = self._run_interface(execute=True) File "/opt/conda/lib/python3.8/site-packages/nipype/pipeline/engine/nodes.py", line 635, in _run_interface return self._run_command(execute) File "/opt/conda/lib/python3.8/site-packages/nipype/pipeline/engine/nodes.py", line 741, in _run_command result = self._interface.run(cwd=outdir) File "/opt/conda/lib/python3.8/site-packages/nipype/interfaces/base/core.py", line 428, in run runtime = self._run_interface(runtime) File "/opt/conda/lib/python3.8/site-packages/niworkflows/interfaces/fixes.py", line 112, in _run_interface os.path.abspath(out_file), File "/opt/conda/lib/python3.8/posixpath.py", line 379, in abspath cwd = os.getcwd() FileNotFoundError: [Errno 2] No such file or directory