diff --git a/toolbox/io/out_mne_channel.m b/toolbox/io/out_mne_channel.m
index 7e7e962d4..cb5a2b59e 100644
--- a/toolbox/io/out_mne_channel.m
+++ b/toolbox/io/out_mne_channel.m
@@ -25,7 +25,7 @@
 % For more information type "brainstorm license" at command prompt.
 % =============================================================================@
 %
-% Authors: Francois Tadel, 2021
+% Authors: Francois Tadel, 2021-2022
 
 
 %% ===== PARSE INPUT =====
@@ -78,8 +78,6 @@
         ChannelMat.SCS.NAS = cs_convert(sMri, 'mri', 'scs', sMri.SCS.NAS ./ 1000);
         ChannelMat.SCS.LPA = cs_convert(sMri, 'mri', 'scs', sMri.SCS.LPA ./ 1000);
         ChannelMat.SCS.RPA = cs_convert(sMri, 'mri', 'scs', sMri.SCS.RPA ./ 1000);
-    else
-        
     end
 end
 
@@ -113,10 +111,9 @@
 % Unlocking Info object
 mneSetStatus = py.getattr(mneInfo, '__setstate__');
 mneSetStatus(py.dict(pyargs('_unlocked', true)));
-% Add Brainstorm version
-bstver = bst_get('Version');
-mneInfo{'hpi_meas'} = py.list(py.dict(pyargs('creator', ['Brainstorm ', bstver.Version, ' (', bstver.Date ')'])));
-
+% % Add Brainstorm version
+% bstver = bst_get('Version');
+% mneInfo{'hpi_meas'} = py.list(py.dict(pyargs('creator', ['Brainstorm ', bstver.Version, ' (', bstver.Date ')'])));
 
 % ===== TRANSFORMATIONS =====
 % Get existing transformation
@@ -355,17 +352,19 @@
         for iComp = 1:length(selComp)
             % Find channels that are used in this projector
             iChannels = find(any(ChannelMat.Projector(iProj).Components,2));
+            % Create data dictionnary
+            projData = py.dict(pyargs(...
+                'nrow', py.int(1), ...
+                'ncol', py.int(length(iChannels)), ...
+                'row_names', py.None, ...
+                'col_names', py.list({ChannelMat.Channel(iChannels).Name}), ...
+                'data',      py.numpy.array(ChannelMat.Projector(iProj).Components(iChannels,selComp(iComp))', pyargs('ndmin', py.int(2)))));
             % Create Projection object
-            pyProj = py.mne.Projection();
-            pyProj{'kind'}   = FIFF.FIFFV_PROJ_ITEM_FIELD;
-            pyProj{'desc'}   = py.str(ChannelMat.Projector(iProj).Comment);
-            pyProj{'active'} = py.bool(ChannelMat.Projector(iProj).Status == 2);
-            pyProj{'data'}              = py.dict();
-            pyProj{'data'}{'nrow'}      = py.int(1);
-            pyProj{'data'}{'ncol'}      = py.int(length(iChannels));
-            pyProj{'data'}{'row_names'} = py.None;
-            pyProj{'data'}{'col_names'} = py.list({ChannelMat.Channel(iChannels).Name});
-            pyProj{'data'}{'data'}      = py.numpy.array(ChannelMat.Projector(iProj).Components(iChannels,selComp(iComp))', pyargs('ndmin', py.int(2)));
+            pyProj = py.mne.Projection(pyargs(...
+                'data', projData, ...
+                'kind', FIFF.FIFFV_PROJ_ITEM_FIELD, ...
+                'desc', py.str(ChannelMat.Projector(iProj).Comment), ...
+                'active', py.bool(ChannelMat.Projector(iProj).Status == 2)));
             % Add to list of projectors
             mneInfo{'projs'}.append(pyProj);
         end
diff --git a/toolbox/io/out_mne_data.m b/toolbox/io/out_mne_data.m
index 1a255346c..106900f66 100644
--- a/toolbox/io/out_mne_data.m
+++ b/toolbox/io/out_mne_data.m
@@ -31,7 +31,7 @@
 % For more information type "brainstorm license" at command prompt.
 % =============================================================================@
 %
-% Authors: Francois Tadel, 2019-2020
+% Authors: Francois Tadel, 2019-2022
 
 
 %% ===== PARSE INPUTS =====
@@ -165,6 +165,9 @@
 %% ===== CREATE INFO OBJECT =====
 % Create info object
 mneInfo = out_mne_channel(ChannelFile, iChannels);
+% Unlocking Info object
+mneSetStatus = py.getattr(mneInfo, '__setstate__');
+mneSetStatus(py.dict(pyargs('_unlocked', true)));
 % Sampling frequency
 mneInfo{'sfreq'} = 1 ./ (DataMat.Time(2) - DataMat.Time(1));
 % Description
@@ -191,6 +194,8 @@
     catch
     end
 end
+% Locking Info object again
+mneSetStatus(py.dict(pyargs('_unlocked', false)));
 
 % Object: Raw
 switch ObjType
@@ -198,7 +203,10 @@
     case 'Raw'
         % Create Raw object
         first_samp = round(DataMat.Time(1) .* mneInfo{'sfreq'});
-        mneObj = py.mne.io.RawArray(bst_mat2py(DataMat.F), mneInfo, first_samp);
+        mneObj = py.mne.io.RawArray(pyargs(...
+            'data',       bst_mat2py(DataMat.F), ...
+            'info',       mneInfo, ...
+            'first_samp', first_samp));
         
         % Add events
         for iEvt = 1:length(DataMat.Events)
@@ -230,13 +238,21 @@
             end
         end
         % Create Epoched object from concatenated trials
-%         mneObj = py.mne.EpochsArray(bst_mat2py(DataMat.F), mneInfo, bst_mat2py(events), DataMat.Time(1), event_id);
-        mneObj = py.mne.EpochsArray(DataMat.F, mneInfo, bst_mat2py(evts, 1), DataMat.Time(1), event_id);
+        mneObj = py.mne.EpochsArray(pyargs(...
+            'data',     DataMat.F, ...
+            'info',     mneInfo, ...
+            'events',   bst_mat2py(evts, 1), ...
+            'tmin',     DataMat.Time(1), ...
+            'event_id', event_id));
         
     case 'Evoked'
         % Create Evoked object
-%         mneObj = py.mne.EvokedArray(bst_mat2py(DataMat.F), mneInfo, DataMat.Time(1), DataMat.Comment, uint32(DataMat.nAvg));
-        mneObj = py.mne.EvokedArray(DataMat.F, mneInfo, DataMat.Time(1), DataMat.Comment, uint32(DataMat.nAvg));
+        mneObj = py.mne.EvokedArray(pyargs(...
+            'data',    DataMat.F, ...
+            'info',    mneInfo, ...
+            'tmin',    DataMat.Time(1), ...
+            'comment', DataMat.Comment, ...
+            'nave',    uint32(DataMat.nAvg)));
 end