fix: update scripts to use single file ants composite_transform output

Author: satra

examples/fmri_ants_openfmri.py

@@ -236,7 +236,7 @@ def create_reg_workflow(name='registration'):
 
     merge = pe.Node(niu.Merge(2), iterfield=['in2'], name='mergexfm')
     register.connect(convert2itk, 'itk_transform', merge, 'in2')
-    register.connect(reg, ('composite_transform', pickfirst), merge, 'in1')
+    register.connect(reg, 'composite_transform', merge, 'in1')
 
     """
     Transform the mean image. First to anatomical and then to target
@@ -445,7 +445,7 @@ def create_fs_reg_workflow(name='registration'):
 
     merge = Node(Merge(2), iterfield=['in2'], name='mergexfm')
     register.connect(convert2itk, 'itk_transform', merge, 'in2')
-    register.connect(reg, ('composite_transform', pickfirst), merge, 'in1')
+    register.connect(reg, 'composite_transform', merge, 'in1')
 
     """
     Transform the mean image. First to anatomical and then to target

examples/rsfmri_vol_surface_preprocessing.py

@@ -528,11 +528,9 @@ def create_reg_workflow(name='registration'):
     Concatenate the affine and ants transforms into a list
     """
 
-    pickfirst = lambda x: x[0]
-
     merge = Node(Merge(2), iterfield=['in2'], name='mergexfm')
     register.connect(convert2itk, 'itk_transform', merge, 'in2')
-    register.connect(reg, ('composite_transform', pickfirst), merge, 'in1')
+    register.connect(reg, 'composite_transform', merge, 'in1')
 
     """
     Transform the mean image. First to anatomical and then to target

examples/rsfmri_vol_surface_preprocessing_nipy.py

@@ -510,11 +510,9 @@ def create_reg_workflow(name='registration'):
     Concatenate the affine and ants transforms into a list
     """
 
-    pickfirst = lambda x: x[0]
-
     merge = Node(Merge(2), iterfield=['in2'], name='mergexfm')
     register.connect(convert2itk, 'itk_transform', merge, 'in2')
-    register.connect(reg, ('composite_transform', pickfirst), merge, 'in1')
+    register.connect(reg, 'composite_transform', merge, 'in1')
 
 
     """