diff --git a/ciftify/bin/ciftify_PINT_vertices.py b/ciftify/bin/ciftify_PINT_vertices.py
index 9c76ee0..f694bd8 100755
--- a/ciftify/bin/ciftify_PINT_vertices.py
+++ b/ciftify/bin/ciftify_PINT_vertices.py
@@ -404,7 +404,7 @@ def pint_move_vertex(df, idx, vertex_incol, vertex_outcol,
 
         # loop through each time series, calculating r
         if pcorr:
-            o_networks = set(netmeants.columns.tolist()) - {network}
+            o_networks = list(set(netmeants.columns.tolist()) - {network})
             seed_corrs[idx_mask] = mass_partial_corr(meants,
                                       func_data[idx_mask, :],
                                       netmeants.loc[:,o_networks].values)
diff --git a/ciftify/bin/ciftify_peaktable.py b/ciftify/bin/ciftify_peaktable.py
index e4687b3..1443c5e 100755
--- a/ciftify/bin/ciftify_peaktable.py
+++ b/ciftify/bin/ciftify_peaktable.py
@@ -232,7 +232,7 @@ def load_hemisphere_labels(filename, wb_structure, map_number = 1):
 
         # loads label table as dict and data as numpy array
         gifti_img = nibabel.gifti.giftiio.read(labels_gii)
-        atlas_data = gifti_img.getArraysFromIntent('NIFTI_INTENT_LABEL')[map_number - 1].data
+        atlas_data = gifti_img.get_arrays_from_intent('NIFTI_INTENT_LABEL')[map_number - 1].data
 
         atlas_dict = gifti_img.get_labeltable().get_labels_as_dict()
         atlas_df = pd.DataFrame.from_dict(atlas_dict, orient = "index")
@@ -321,7 +321,7 @@ def build_hemi_results_df(surf_settings, atlas_settings,
     clust_array = load_hemisphere_data(clusters_dscalar, surf_settings['wb_structure'])
 
     ## load the coordinates
-    coords =  nibabel.gifti.giftiio.read(surf_settings['surface']).getArraysFromIntent('NIFTI_INTENT_POINTSET')[0].data
+    coords =  nibabel.gifti.giftiio.read(surf_settings['surface']).get_arrays_from_intent('NIFTI_INTENT_POINTSET')[0].data
     surf_va = ciftify.niio.load_gii_data(surf_settings['vertex_areas'])
 
     ## put all this info together into one pandas dataframe
diff --git a/ciftify/niio.py b/ciftify/niio.py
index 56430f1..0170703 100644
--- a/ciftify/niio.py
+++ b/ciftify/niio.py
@@ -97,8 +97,8 @@ def load_nifti(filename):
         logger.error("Cannot read {}".format(filename))
         sys.exit(1)
 
-    affine = nifti.get_affine()
-    header = nifti.get_header()
+    affine = nifti.affine
+    header = nifti.header
     dims = list(nifti.shape)
 
     # if smaller than 3D
@@ -183,7 +183,7 @@ def load_gii_data(filename, intent='NIFTI_INTENT_NORMAL'):
 
     ## read all arrays and concatenate in numpy
     try:
-        array1 = surf_dist_nib.getArraysFromIntent(intent)[0]
+        array1 = surf_dist_nib.get_arrays_from_intent(intent)[0]
     except IndexError:
         logger.error("Invalid intent: {}".format(intent))
         sys.exit(1)
@@ -191,7 +191,7 @@ def load_gii_data(filename, intent='NIFTI_INTENT_NORMAL'):
     data = array1.data
     if numDA >= 1:
         for DA in range(1,numDA):
-            data = np.vstack((data, surf_dist_nib.getArraysFromIntent(intent)[
+            data = np.vstack((data, surf_dist_nib.get_arrays_from_intent(intent)[
                     DA].data))
 
     ## transpose the data so that it is vertices by TR
@@ -267,7 +267,7 @@ def get_surf_distances(surf, orig_vertex, radius_search=100,
 
 def load_surf_coords(surf):
     '''load the coordinates from a surface file'''
-    coords = nibabel.gifti.giftiio.read(surf).getArraysFromIntent('NIFTI_INTENT_POINTSET')[0].data
+    coords = nibabel.gifti.giftiio.read(surf).get_arrays_from_intent('NIFTI_INTENT_POINTSET')[0].data
     return coords
 
 
@@ -282,7 +282,7 @@ def load_hemisphere_labels(filename, wb_structure, map_number = 1):
 
         # loads label table as dict and data as numpy array
         gifti_img = nibabel.gifti.giftiio.read(labels_gii)
-        atlas_data = gifti_img.getArraysFromIntent('NIFTI_INTENT_LABEL')[map_number - 1].data
+        atlas_data = gifti_img.get_arrays_from_intent('NIFTI_INTENT_LABEL')[map_number - 1].data
 
         atlas_dict = gifti_img.get_labeltable().get_labels_as_dict()