Network Centrality¶
- CPAC.network_centrality.network_centrality.create_centrality_wf(wf_name: str, method_option: str, weight_options: list[str], threshold_option: str, threshold: float, num_threads: int | None = 1, memory_gb: float | None = 1.0, base_dir: Path | str | None = None) Workflow[source]¶
- Function to create the afni-based centrality workflow. - Parameters:
- wf_name ( - string) – the name of the workflow
- method_option ( - string) – one of [‘degree_centrality’, ‘eigenvector_centrality’, ‘local_functional_connectivity_density’]
- weight_options ( - list) – one or more of [‘Binarized’, ‘Weighted’]
- threshold_option ( - string) – one of [‘Significance threshold’, ‘Sparsity threshold’, ‘Correlation threshold’]
- threshold ( - float) – the threshold value for thresholding the similarity matrix
- num_threads ( - integer, optional) – the number of threads to utilize for centrality computation; default=1
- memory_gb ( - float,optional) – the amount of memory the centrality calculation will take (GB); default=1.0
- base_dir ( - pathor- str, optional) – the base directory for the workflow; default=None
 
- Returns:
- centrality_wf – the initialized nipype workflow for the afni centrality command 
- Return type:
- nipype Workflow
 - Notes - Workflow Inputs: - inputspec.in_file : string path to input functional data NIfTI file inputspec.template : string path to input mask template NIfTI file inputspec.threshold : float threshold value for thresholding the similarity matrix - Workflow Outputs: - outputspec.outfile_list : list of strings list of paths to output files (binarized and weighted) 
- CPAC.network_centrality.pipeline.connect_centrality_workflow(workflow, c, resample_functional_to_template, template_node, template_out, merge_node, method_option, pipe_num)[source]¶
- 
High Level Workflow Graph:   Detailed Workflow Graph:   
NodeBlockFunction: network_centrality
- CPAC.network_centrality.pipeline.network_centrality(wf, cfg, strat_pool, pipe_num, opt=None)[source]¶
- Run Network Centrality. 
- exception CPAC.network_centrality.utils.MethodOptionError(method_option)[source]¶
- Raised when a selected centrality method option is not supported. 
- exception CPAC.network_centrality.utils.ThresholdError(threshold_option, threshold)[source]¶
- Raised when a selected threshold value is not supported for a selected threshold option. 
- exception CPAC.network_centrality.utils.ThresholdOptionError(threshold_option, method_option=None)[source]¶
- Raised when a selected threshold option is not supported for a selected centrality measure. 
- CPAC.network_centrality.utils.check_centrality_params(method_option, threshold_option, threshold)[source]¶
- Function to check the centrality parameters. - Parameters:
- Returns:
 
- CPAC.network_centrality.utils.convert_pvalue_to_r(datafile, p_value, two_tailed=False)[source]¶
- Method to calculate correlation threshold from p_value - Parameters:
- datafile ( - string) – filepath to dataset to extract number of time pts from
- p_value ( - float) – significance threshold p-value
- two_tailed ( - boolean (optional); default=False) – flag to indicate whether to calculate the two-tailed t-test threshold for the returned correlation value
 
- Returns:
- r_value – correlation threshold value 
- Return type:
 
- CPAC.network_centrality.utils.create_merge_node(pipe_num: int) Node[source]¶
- Create a Function Node to merge lists for the centrality workflow - Parameters:
- pipe_num ( - int) –
- Returns:
- a Function Node to merge lists for the centrality workflow 
- Return type:
- Node
 - Notes - Node Inputs: - deg_list : list of strings list of paths to degree centrality outputs eig_list : list of strings list of paths to eigenvector centrality outputs lfcd_list : list of strings list of paths to local functional connectivity density outputs - Node Outputs: - degree_weighted : string path to weighted degree centrality output degree_binarized : string path to binarized degree centrality output eigen_weighted : string path to weighted eigenvector centrality output eigen_binarized : string path to binarized eigenvector centrality output lfcd_weighted : string path to weighted local functional connectivity density output lfcd_binarized : string path to binarized local functional connectivity density output 
- CPAC.network_centrality.utils.merge_lists(deg_list: list[str] | None = None, eig_list: list[str] | None = None, lfcd_list: list[str] | None = None)[source]¶
- Function to actually do the list merging. - Parameters:
- Returns:
- degree_weighted ( - str) – path to weighted degree centrality output
- degree_binarized ( - str) – path to binarized degree centrality output
- eigen_weighted ( - str) – path to weighted eigenvector centrality output
- eigen_binarized ( - str) – path to binarized eigenvector centrality output
- lfcd_weighted ( - str) – path to weighted local functional connectivity density output
- lfcd_binarized ( - str) – path to binarized local functional connectivity density output