Voxel by voxel comparison SPM workspace directory

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Defined in file : brainvisa/toolboxes/spm/types/spm_stats.py

Used in the following processes

spm8 - One sample T-test - generic
spm8 - Paired T-test - generic
spm8 - Two sample T-test - generic

Associated formats

Directory

Associated ontology rules

  • brainvisa-3.2.0 :
  • analyzes/PET/{segmentation_method}_using_{PVC_method}_PVC/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_mean_smoothed_{fwhm}/intersect_grey_mask/nuisance_covariates_{nuisance_covariate_list}
    analyzes/PET/{segmentation_method}_using_{PVC_method}_PVC/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_mean_smoothed_{fwhm}/intersect_grey_mask/nuisance_covariates{nuisance_covariate_list}/interest_covariates_{interest_covariate_list}
    analyzes/PET/{segmentation_method}_using_{PVC_method}_PVC/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_mean_smoothed_{fwhm}/intersect_grey_mask/without_covariates
    analyzes/PET/{segmentation_method}_using_{PVC_method}_PVC/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_mean_smoothed_{fwhm}/intersect_white_mask/nuisance_covariates_{nuisance_covariate_list}
    analyzes/PET/{segmentation_method}_using_{PVC_method}_PVC/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_mean_smoothed_{fwhm}/intersect_white_mask/nuisance_covariates{nuisance_covariate_list}/interest_covariates_{interest_covariate_list}
    analyzes/PET/{segmentation_method}_using_{PVC_method}_PVC/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_mean_smoothed_{fwhm}/intersect_white_mask/without_covariates
    analyzes/PET/{segmentation_method}_using_{PVC_method}_PVC/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_mean_smoothed_{fwhm}/without_intersect/nuisance_covariates_{nuisance_covariate_list}
    analyzes/PET/{segmentation_method}_using_{PVC_method}_PVC/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_mean_smoothed_{fwhm}/without_intersect/nuisance_covariates{nuisance_covariate_list}/interest_covariates_{interest_covariate_list}
    analyzes/PET/{segmentation_method}_using_{PVC_method}_PVC/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_mean_smoothed_{fwhm}/without_intersect/without_covariates
    analyzes/PET/{segmentation_method}_using_{PVC_method}_PVC/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_parametric_using_{ROIReference}_smoothed_{fwhm}/intersect_grey_mask/nuisance_covariates_{nuisance_covariate_list}
    analyzes/PET/{segmentation_method}_using_{PVC_method}_PVC/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_parametric_using_{ROIReference}_smoothed_{fwhm}/intersect_grey_mask/nuisance_covariates{nuisance_covariate_list}/interest_covariates_{interest_covariate_list}
    analyzes/PET/{segmentation_method}_using_{PVC_method}_PVC/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_parametric_using_{ROIReference}_smoothed_{fwhm}/intersect_grey_mask/without_covariates
    analyzes/PET/{segmentation_method}_using_{PVC_method}_PVC/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_parametric_using_{ROIReference}_smoothed_{fwhm}/intersect_white_mask/nuisance_covariates_{nuisance_covariate_list}
    analyzes/PET/{segmentation_method}_using_{PVC_method}_PVC/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_parametric_using_{ROIReference}_smoothed_{fwhm}/intersect_white_mask/nuisance_covariates{nuisance_covariate_list}/interest_covariates_{interest_covariate_list}
    analyzes/PET/{segmentation_method}_using_{PVC_method}_PVC/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_parametric_using_{ROIReference}_smoothed_{fwhm}/intersect_white_mask/without_covariates
    analyzes/PET/{segmentation_method}_using_{PVC_method}_PVC/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_parametric_using_{ROIReference}_smoothed_{fwhm}/without_intersect/nuisance_covariates_{nuisance_covariate_list}
    analyzes/PET/{segmentation_method}_using_{PVC_method}_PVC/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_parametric_using_{ROIReference}_smoothed_{fwhm}/without_intersect/nuisance_covariates{nuisance_covariate_list}/interest_covariates_{interest_covariate_list}
    analyzes/PET/{segmentation_method}_using_{PVC_method}_PVC/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_parametric_using_{ROIReference}_smoothed_{fwhm}/without_intersect/without_covariates
    analyzes/PET/{segmentation_method}/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_mean_smoothed_{fwhm}/intersect_grey_mask/nuisance_covariates_{nuisance_covariate_list}
    analyzes/PET/{segmentation_method}/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_mean_smoothed_{fwhm}/intersect_grey_mask/nuisance_covariates{nuisance_covariate_list}/interest_covariates_{interest_covariate_list}
    analyzes/PET/{segmentation_method}/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_mean_smoothed_{fwhm}/intersect_grey_mask/without_covariates
    analyzes/PET/{segmentation_method}/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_mean_smoothed_{fwhm}/intersect_white_mask/nuisance_covariates_{nuisance_covariate_list}
    analyzes/PET/{segmentation_method}/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_mean_smoothed_{fwhm}/intersect_white_mask/nuisance_covariates{nuisance_covariate_list}/interest_covariates_{interest_covariate_list}
    analyzes/PET/{segmentation_method}/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_mean_smoothed_{fwhm}/intersect_white_mask/without_covariates
    analyzes/PET/{segmentation_method}/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_mean_smoothed_{fwhm}/without_intersect/nuisance_covariates_{nuisance_covariate_list}
    analyzes/PET/{segmentation_method}/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_mean_smoothed_{fwhm}/without_intersect/nuisance_covariates{nuisance_covariate_list}/interest_covariates_{interest_covariate_list}
    analyzes/PET/{segmentation_method}/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_mean_smoothed_{fwhm}/without_intersect/without_covariates
    analyzes/PET/{segmentation_method}/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_parametric_using_{ROIReference}_smoothed_{fwhm}/intersect_grey_mask/nuisance_covariates_{nuisance_covariate_list}
    analyzes/PET/{segmentation_method}/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_parametric_using_{ROIReference}_smoothed_{fwhm}/intersect_grey_mask/nuisance_covariates{nuisance_covariate_list}/interest_covariates_{interest_covariate_list}
    analyzes/PET/{segmentation_method}/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_parametric_using_{ROIReference}_smoothed_{fwhm}/intersect_grey_mask/without_covariates
    analyzes/PET/{segmentation_method}/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_parametric_using_{ROIReference}_smoothed_{fwhm}/intersect_white_mask/nuisance_covariates_{nuisance_covariate_list}
    analyzes/PET/{segmentation_method}/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_parametric_using_{ROIReference}_smoothed_{fwhm}/intersect_white_mask/nuisance_covariates{nuisance_covariate_list}/interest_covariates_{interest_covariate_list}
    analyzes/PET/{segmentation_method}/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_parametric_using_{ROIReference}_smoothed_{fwhm}/intersect_white_mask/without_covariates
    analyzes/PET/{segmentation_method}/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_parametric_using_{ROIReference}_smoothed_{fwhm}/without_intersect/nuisance_covariates_{nuisance_covariate_list}
    analyzes/PET/{segmentation_method}/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_parametric_using_{ROIReference}_smoothed_{fwhm}/without_intersect/nuisance_covariates{nuisance_covariate_list}/interest_covariates_{interest_covariate_list}
    analyzes/PET/{segmentation_method}/voxel_by_voxel_comparison/{factoriel_design}/{first_group}_compare_with_{second_group}/pet_parametric_using_{ROIReference}_smoothed_{fwhm}/without_intersect/without_covariates

    Key attributes

  • brainvisa-3.2.0 :
  • segmentation_method ,  factoriel_design ,  first_group ,  second_group ,  ROIReference ,  fwhm ,  nuisance_covariate_list ,  interest_covariate_list ,  pet_intersection ,  PVC_method