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Documenting derivatives
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docs/user/_sources/_static/outputs/anatomical/segmentation.csv

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anatomical_csf_mask, The CSF mask produced by segmentation.
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anatomical_gm_mask, The gray matter mask produced by segmentation.
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anatomical_wm_mask, The white matter mask produced by segmentation.
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natomical_csf_mask, The CSF mask(s) produced by segmentation. NifTIs are contained within a subdirectory of the form _csf_threshold_<threshold>.
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anatomical_gm_mask, The gray matter mask(s) produced by segmentation. NifTIs are contained within a subdirectory of the form _gm_threshold_<threshold>.
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anatomical_wm_mask, The white matter mask(s) produced by segmentation. NifTIs are contained within a subdirectory of the form _gm_threshold_<threshold>.
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seg_mixeltype, A mixeltype volume file (an output from brain segmentation using FAST).
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seg_partial_volume_files, Partial volume estimate files (outputs from brain segmentation using FAST).
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seg_partial_volume_map, The partial volume file (an output from brain segmentation using FAST).
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All Outputs
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#TODO Find out the names given to derivatives in cpac_pipline.py
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<derivative>_zstd, The z-score standardized output for a derivative.
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<derivative>_fisher_zstd - The z-score standardized output for a derivative using Fisher's z-score transformation.
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output_means, A directory containing a series of nested sub-directories of the following form (with subdirectories representing optional steps only included if those steps were run): _scan_rest/_csf_threshold_<threshold>/_gm_threshold_<threshold>/_wm_threshold_<threshold>/<nuisance_regressors>/_hp_<high frequency cut-off>/_lp_<low frequency cut off>/. At the lowest level of these subdirectories are text files that contain the average values for each derivative run. These individual means are also aggregated into a single file of the form 'output_means_<subject name>.csv' in the individua subject output directory.
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<derivative>_to_standard, A derivative transformed into MNI space.
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Smoothing
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<derivative>_smooth, directory containing a series of nested sub-directories of the following form (with subdirectories representing optional steps only included if those steps were run): _scan_rest/_csf_threshold_<threshold>/_gm_threshold_<threshold>/_wm_threshold_<threshold>/<nuisance_regressors>/_hp_<high frequency cut-off>/_lp_<low frequency cut off>/_fwhm_<kernel_fwhm>. At the lowest level of these subdirectories are smoothed NifTI files.
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Seed-based Correlation Analysis (SCA) - Analyze the connectivity between brain regions.
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sca_roi_correlation_files
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sca_roi_correlation_stack
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sca_seed_correlation_files
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sca_tempreg_maps_files
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sca_tempreg_maps_stack
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sca_tempreg_maps_zstat_files
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sca_tempreg_maps_zstat_stack
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Dual Regression - Compare large-scale networks.
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spatial_map_timeseries
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dr_tempreg_maps_files
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dr_tempreg_maps_stack
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dr_tempreg_maps_zstat_files
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dr_tempreg_maps_zstat_stack
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Voxel-mirrored Homotopic Connectivity (VMHC) - Investigate connectivity between hemispheres.
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vmhc_fisher_zstd_zstat_map
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vmhc_raw_score
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Amplitude of Low Frequency Fluctuations (ALFF) and fractional ALFF (fALFF) - Measure the power of slow fluctuations in brain activity.
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alff_img
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falff_img
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Regional Homogeneity (ReHo) - Measure the similarity of activity patterns across neighboring voxels.
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raw_reho_map
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Network Centrality - Analyze the structure of functional networks.
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centrality_outputs

docs/user/_sources/_static/outputs/outputs.csv

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Functional Preprocessing
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slice_time_corrected
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raw_functional
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coordinate_transformation
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functional_brain_mask
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functional_brain_mask_to_standard
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functional_freq_filtered
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functional_median_angle_corrected
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functional_mni
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functional_nuisance_residuals
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functional_preprocessed_mask
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functional_to_anat_linear_xfm
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preprocessed
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raw_functional
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mean_functional
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mean_functional_in_anat
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mean_functional_in_mni
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selected_func_volume
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slice_time_corrected
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itk_collected_warps_%s
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itk_func_anat_affine_%s
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preprocessed
2018

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Nuisance Corrections
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motion_correct
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motion_correct_to_standard
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functional_median_angle_corrected
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functional_nuisance_residuals
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Temporal Filtering
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bandpassed_file

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