graphpype.pipelines.create_pipeline_nii_to_weighted_conmat(main_path, pipeline_name='nii_to_weighted_conmat', concatenated_runs=True, conf_interval_prob=0.05, mult_regnames=True, spm_reg=True)[source]¶Pipeline from resid_ts_file (after preprocessing) to weighted connectivity matrices Involves a regressor file as wiehgt for computing weighted correlations
- main_path: path where the analysis will be located
(base_dir of workflow) * pipeline_name (default = “nii_to_weighted_conmat”): name of the workflow that will be created for this analysis * concatenated_runs (default = True): If several sessions are contained in the same SPM.mat * conf_interval_prob (default = 0.05): default confidence interval value for thresholding connectivity matrix * mult_regnames (default = True): if reg_names is a list (instead of the instance of an iterable at the higher level) * spm_reg (default = True) : either use spm_mat_file or reg_txt (the latter containing directly the weighting use for computing
weighted correlation)
Inputs (inputnode):
- resid_ts_file
- spm_mat_file (from a typical SPM level1 activation analysis)
- regress_names (names to look after in spm_mat_file)
- run_index
- ROI_labels_file
- reg_txt (if spm_reg = False)
Comments:
Typically used after previous pipeline (create_pipeline_nii_to_conmat) and before conmat_to_graph pipeline