enh: updated mindboggle atlases

Author: satra

examples/rsfmri_preprocessing.py

@@ -33,15 +33,15 @@
 
 specifically the 2mm versions of:
 
-- `Joint Fusion Atlas <http://mindboggle.info/data/atlases/jointfusion/OASIS-TRT-20_DKT31_CMA_jointfusion_labels_in_MNI152_2mm.nii.gz>`_
-- `MNI template <http://mindboggle.info/data/templates/ants/OASIS-TRT-20_template_in_MNI152_2mm.nii.gz>`_
+- `Joint Fusion Atlas <http://mindboggle.info/data/atlases/jointfusion/OASIS-TRT-20_jointfusion_DKT31_CMA_labels_in_MNI152_2mm.nii.gz>`_
+- `MNI template <http://mindboggle.info/data/templates/ants/OASIS-30_Atropos_template_in_MNI152_2mm.nii.gz>`_
 
 The 2mm version was generated with::
 
    >>> from nipype import freesurfer as fs
    >>> rs = fs.Resample()
-   >>> rs.inputs.in_file = 'OASIS-TRT-20_DKT31_CMA_jointfusion_labels_in_MNI152.nii.gz'
-   >>> rs.inputs.resampled_file = 'OASIS-TRT-20_DKT31_CMA_jointfusion_labels_in_MNI152_2mm.nii.gz'
+   >>> rs.inputs.in_file = 'OASIS-TRT-20_jointfusion_DKT31_CMA_labels_in_MNI152.nii.gz'
+   >>> rs.inputs.resampled_file = 'OASIS-TRT-20_jointfusion_DKT31_CMA_labels_in_MNI152_2mm.nii.gz'
    >>> rs.inputs.voxel_size = (2., 2., 2.)
    >>> rs.inputs.args = '-rt nearest -ns 1'
    >>> res = rs.run()
@@ -584,7 +584,7 @@ def create_workflow(files,
     reg.inputs.use_histogram_matching = [False] * 3 + [True]
     reg.inputs.output_warped_image = 'output_warped_image.nii.gz'
     reg.inputs.fixed_image = \
-        os.path.abspath('OASIS-TRT-20_template_to_MNI152_2mm.nii.gz')
+        os.path.abspath('OASIS-30_Atropos_template_in_MNI152_2mm.nii.gz')
     reg.inputs.num_threads = 4
     reg.plugin_args = {'qsub_args': '-l nodes=1:ppn=4'}
 
@@ -641,8 +641,8 @@ def create_workflow(files,
     ts2txt.inputs.indices = [8] + range(10, 14) + [17, 18, 26, 47] +\
                             range(49, 55) + [58]
     ts2txt.inputs.label_file = \
-        os.path.abspath(('OASIS-TRT-20_DKT31_CMA_jointfusion_labels_in_MNI152'
-                         '_2mm.nii.gz'))
+        os.path.abspath(('OASIS-TRT-20_jointfusion_DKT31_CMA_labels_in_MNI152_'
+                         '2mm.nii.gz'))
     wf.connect(sample2mni, 'output_image', ts2txt, 'timeseries_file')
 
     # Save the relevant data into an output directory