Error in MEM model

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1

MEM model ERROR

I am in trying to do combined process during the MEM model in the surface Brain model. I can run the MEM model using the ICEEG data and MEG data and ran it separately. But when I tried to run it all together, the error showed up and saying can't find the ICEEG data. I am wondering what did I do wrong? Please see the error below

Unrecognized field name "idata".

Error in be_fusion_of_modalities (line 70)
if exist('idata', 'var'); obj.idata = [obj.idata; idata{ii}]; end

Error in be_cmem_solver (line 178)
obj = be_fusion_of_modalities( , obj, OPTIONS);

Error in be_main_call (line 157)
[Results, MEMoptions] = feval(['be_' lower(MEMoptions.mandatory.pipeline) '_solver'], HeadModel, MEMoptions, Results );

Error in be_main (line 60)
[Results, OPTIONS] = be_main_call(varargin{:});

Error in process_inverse_2018>Compute (line 696)
[Results, OPTIONS] = be_main(HeadModel, OPTIONS);

Error in process_inverse_2018 (line 24)
eval(macro_method);

Error in panel_protocols>TreeInverse (line 1390)
[OutputFiles, errMessage] = process_inverse_2018('Compute', iStudies, iDatas);

Error in panel_protocols (line 46)
eval(macro_method);

Error in tree_callbacks>@(h,ev)panel_protocols('TreeInverse',bstNodes,'2018') (line 2697)
gui_component('MenuItem', jPopup, , 'Compute sources [2018]', IconLoader.ICON_RESULTS, , @(h,ev)panel_protocols('TreeInverse', bstNodes, '2018'));"

Thank you

2

Hello,

Thanks a lot for the message. This is a known bug that is going to be fixed when the following PR is merged (depth-weighted version for wMEM by Edouard2laire · Pull Request #13 · multifunkim/best-brainstorm · GitHub).

Will keep you updated when you can update MEM and try again :slight_smile:

cc @cgrova

3

Thank you so much. I am using cMEM and NOT wMEM. Not sure is that will difference. thank you so much....

4

Hello,

The issue should now be fixed. Please update your version of MEM and try again.

Regards,
Edouard

5

Hi Edouard

thank you so much for your help
I tried again and still showing the same error. I used cMEM. Not sure is this something related. Also I also screenshot the channel file _ i could run it if i only choose SEEG but I couldn't if I used all combination of (MEG+SEEG)

See the below matlab output

Thanks

===== pipeline cMEM
cMEM, be_main_source ... done.
cMEM, be_main_leadfields ... done.
cMEM, stable clustering ...
cMEM, stable clustering: dimension of the signal subspace 4, for inertia > 0.95
cMEM, stable clustering: dimension of the signal subspace 4, for inertia > 0.95
cMEM, stable clustering: dimension of the signal subspace 3, for inertia > 0.95
MEM : New noise covariance is computed using baseline
MEM : New noise covariance is computed using baseline
MEM : New noise covariance is computed using baseline
![channel file|161x500](upload://8mhCqvHR9c7XUyXEYA6f4v7FUCD.png)

cMEM, MULTIMODAL data ... MEG GRAD ... MEG MAG found Unrecognized field name "idata".

Error in be_fusion_of_modalities (line 74)
        if exist('idata', 'var'); obj.idata = [obj.idata; idata{ii}]; end

Error in be_cmem_solver (line 182)
obj = be_fusion_of_modalities( [], obj, OPTIONS);

Error in be_main_call (line 157)
    [Results, MEMoptions]   = feval(['be_' lower(MEMoptions.mandatory.pipeline) '_solver'], HeadModel, MEMoptions, Results );

Error in be_main (line 60)
    [Results, OPTIONS]  =   be_main_call(varargin{:});

Error in process_inverse_2018>Compute (line 696)
                [Results, OPTIONS] = be_main(HeadModel, OPTIONS);

Error in process_inverse_2018 (line 24)
eval(macro_method);

Error in panel_protocols>TreeInverse (line 1390)
            [OutputFiles, errMessage] = process_inverse_2018('Compute', iStudies, iDatas);

Error in panel_protocols (line 46)
eval(macro_method);

Error in tree_callbacks>@(h,ev)panel_protocols('TreeInverse',bstNodes,'2018') (line 2697)
        gui_component('MenuItem', jPopup, [], 'Compute sources [2018]', IconLoader.ICON
6

Thank you. Could you export this subject from your brainstorm database so I could run some test on my side and see what's going on ?

7

Hello @taung

The issue should now be solved. You can update BEst and try again.

Please note that we only validated the fusion between EEG and MEG sensors with MEM; so be careful when interpreting the fusion between SEEG and MEG. Maybe you can compare the result with the localization of SEEG alone and MEG alone :slight_smile:

Edouard