🗃️ Get specific with connectome outputs

Author: shnizzedy

CPAC/resources/cpac_outputs.tsv

@@ -156,7 +156,10 @@ desc-Mean_timeseries	timeseries		func	1D
 desc-MeanSCA_timeseries	timeseries		func	1D					
 desc-SpatReg_timeseries	timeseries		func	1D					
 desc-Voxel_timeseries	timeseries		func	1D					
-connectome	matrix		func	TSV	        				Yes
+desc-PearsonAfni_connectome	matrix		func	tsv					
+desc-PartialAfni_connectome	matrix		func	tsv					
+desc-PearsonNilearn_connectome	matrix		func	tsv					
+desc-PartialNilearn_connectome	matrix		func	tsv					
 space-longitudinal_label-CSF_probseg	tissue probability	longitudinal T1w	anat	NIfTI					
 space-longitudinal_label-GM_probseg	tissue probability	longitudinal T1w	anat	NIfTI					
 space-longitudinal_label-WM_probseg	tissue probability	longitudinal T1w	anat	NIfTI					

CPAC/timeseries/timeseries_analysis.py

@@ -865,7 +865,7 @@ def timeseries_extraction_AVG(wf, cfg, strat_pool, pipe_num, opt=None):
             output_desc = ''.join(term.lower().capitalize() for term in [
                 cm_measure, cm_tool])
             matrix_outputs[f'desc-{output_desc}_connectome'] = (
-                timeseries_correlation, 'out_file')
+                timeseries_correlation, 'outputspec.out_file')
 
     # - NDMG
     from CPAC.utils.ndmg_utils import ndmg_create_graphs

CPAC/utils/interfaces/netcorr.py

@@ -176,7 +176,7 @@ class NetCorr(AFNICommand):
 
     Examples
     --------
-    >>> from CPAC.utils.interfaces import NetCorr
+    >>> from CPAC.utils.interfaces.netcorr import NetCorr
     >>> ncorr = afni.NetCorr()
     >>> ncorr.inputs.in_file = 'functional.nii'
     >>> ncorr.inputs.mask = 'mask.nii'