diff --git a/src/dynamic_routing_analysis/decoding_utils.py b/src/dynamic_routing_analysis/decoding_utils.py
index e2bc2c9..9f787f1 100644
--- a/src/dynamic_routing_analysis/decoding_utils.py
+++ b/src/dynamic_routing_analysis/decoding_utils.py
@@ -1096,7 +1096,7 @@ def decode_context_with_linear_shift(session=None,params=None,trials=None,units=
     # print(f'time elapsed: {time.time()-start_time}')
 
 
-def concat_decoder_results(files,savepath=None,return_table=True):
+def concat_decoder_results(files,savepath=None,return_table=True,single_session=False):
 
     use_half_shifts=False
     n_repeats=25
@@ -1131,6 +1131,9 @@ def concat_decoder_results(files,savepath=None,return_table=True):
 
 
     #loop through sessions
+    if single_session:
+        if type(files) is not list:
+            files=[files]
     for file in files:
         try:
             decoder_results=pickle.load(open(file,'rb'))
@@ -1251,7 +1254,10 @@ def concat_decoder_results(files,savepath=None,return_table=True):
     linear_shift_df=pd.DataFrame(linear_shift_dict)
     if savepath is not None:
         try:
-            linear_shift_df.to_csv(os.path.join(savepath,'all_unit_linear_shift_use_more_trials.csv'))
+            if single_session:
+                linear_shift_df.to_csv(os.path.join(savepath,session_id+'_linear_shift_decoding_results.csv'))
+            else:
+                linear_shift_df.to_csv(os.path.join(savepath,'all_linear_shift_decoding_results.csv'))
         except Exception as e:
             print(e)
             print('error saving linear shift df')
@@ -1374,7 +1380,7 @@ def compute_significant_decoding_by_area(all_decoder_results):
     return all_frac_sig_df,all_diff_from_null_df
 
 
-def concat_trialwise_decoder_results(files,savepath=None,return_table=False,n_units=None):
+def concat_trialwise_decoder_results(files,savepath=None,return_table=False,n_units=None,single_session=False):
 
     #load sessions as we go
 
@@ -1477,6 +1483,10 @@ def concat_trialwise_decoder_results(files,savepath=None,return_table=False,n_un
     start_time=time.time()
 
     ##loop through sessions##
+    if single_session:
+        if type(files) is not list:
+            files=[files]
+
     for file in files:
         try:
             session_start_time=time.time()
@@ -1876,21 +1886,26 @@ def concat_trialwise_decoder_results(files,savepath=None,return_table=False,n_un
         if not os.path.exists(savepath):
             os.makedirs(savepath)
         if n_units is not None:
-            n_units_str=str(n_units)+'_units'
+            n_units_str='_'+str(n_units)+'_units'
         else:
             n_units_str=''
 
-        decoder_confidence_versus_response_type.to_csv(os.path.join(savepath,'decoder_confidence_versus_response_type'+n_units_str+'.csv'),index=False)
-        decoder_confidence_dprime_by_block.to_csv(os.path.join(savepath,'decoder_confidence_dprime_by_block'+n_units_str+'.csv'),index=False)
-        decoder_confidence_by_switch.to_csv(os.path.join(savepath,'decoder_confidence_by_switch'+n_units_str+'.csv'),index=False)
-        decoder_confidence_versus_trials_since_rewarded_target.to_csv(os.path.join(savepath,'decoder_confidence_versus_trials_since_rewarded_target'+n_units_str+'.csv'),index=False)
-        decoder_confidence_before_after_target.to_csv(os.path.join(savepath,'decoder_confidence_before_after_target'+n_units_str+'.csv'),index=False)
-
-        decoder_confidence_versus_response_type.to_pickle(os.path.join(savepath,'decoder_confidence_versus_response_type'+n_units_str+'.pkl'))
-        decoder_confidence_dprime_by_block.to_pickle(os.path.join(savepath,'decoder_confidence_dprime_by_block'+n_units_str+'.pkl'))
-        decoder_confidence_by_switch.to_pickle(os.path.join(savepath,'decoder_confidence_by_switch'+n_units_str+'.pkl'))
-        decoder_confidence_versus_trials_since_rewarded_target.to_pickle(os.path.join(savepath,'decoder_confidence_versus_trials_since_rewarded_target'+n_units_str+'.pkl'))
-        decoder_confidence_before_after_target.to_pickle(os.path.join(savepath,'decoder_confidence_before_after_target'+n_units_str+'.pkl'))
+        if single_session:
+            temp_session_str=session_id_str+'_'
+        else:
+            temp_session_str=''
+
+        decoder_confidence_versus_response_type.to_csv(os.path.join(savepath,temp_session_str+'decoder_confidence_versus_response_type'+n_units_str+'.csv'),index=False)
+        decoder_confidence_dprime_by_block.to_csv(os.path.join(savepath,temp_session_str+'decoder_confidence_dprime_by_block'+n_units_str+'.csv'),index=False)
+        decoder_confidence_by_switch.to_csv(os.path.join(savepath,temp_session_str+'decoder_confidence_by_switch'+n_units_str+'.csv'),index=False)
+        decoder_confidence_versus_trials_since_rewarded_target.to_csv(os.path.join(savepath,temp_session_str+'decoder_confidence_versus_trials_since_rewarded_target'+n_units_str+'.csv'),index=False)
+        decoder_confidence_before_after_target.to_csv(os.path.join(savepath,temp_session_str+'decoder_confidence_before_after_target'+n_units_str+'.csv'),index=False)
+
+        decoder_confidence_versus_response_type.to_pickle(os.path.join(savepath,temp_session_str+'decoder_confidence_versus_response_type'+n_units_str+'.pkl'))
+        decoder_confidence_dprime_by_block.to_pickle(os.path.join(savepath,temp_session_str+'decoder_confidence_dprime_by_block'+n_units_str+'.pkl'))
+        decoder_confidence_by_switch.to_pickle(os.path.join(savepath,temp_session_str+'decoder_confidence_by_switch'+n_units_str+'.pkl'))
+        decoder_confidence_versus_trials_since_rewarded_target.to_pickle(os.path.join(savepath,temp_session_str+'decoder_confidence_versus_trials_since_rewarded_target'+n_units_str+'.pkl'))
+        decoder_confidence_before_after_target.to_pickle(os.path.join(savepath,temp_session_str+'decoder_confidence_before_after_target'+n_units_str+'.pkl'))
 
     if return_table:
         return decoder_confidence_versus_response_type,decoder_confidence_dprime_by_block,decoder_confidence_by_switch,decoder_confidence_versus_trials_since_rewarded_target,decoder_confidence_before_after_target