[FieldTrip] problem with source reconstruction of ERP

[Zizlsperger Leopold]

Dear all,
no suggestions so far? Am I missing something obvious?
In the meantime I "cut" the timelock data to contain the same number of trials but that did not resolve the issue either (I got the same error, see below)
Would love to hear your ideas...
Best
Leo




On Oct 17, 2013, at 4:17 PM, Zizlsperger Leopold <zizlsperger at gmail.com> wrote:

> Hi all,
> I need your help with a problem with calculating the inverse solution in source reconstruction. I create source / volume conduction model using the FieldTrip default MRI and the tutorial documentation, my EEG electrodes align well, too. The problem appears when I try to process my functional timelocked data (demean=yes, covariance=yes): 
> In my example the two datasets have the structure:
> 
> disp(EEG1_HC35_GA_JD_ICA_Coh5cov);
>           avg: [32x7000 double]
>           var: [32x7000 double]
>          time: [1x7000 double]
>           dof: [32x7000 double]
>         label: {32x1 cell}
>         trial: [314x32x7000 double]
>        dimord: 'rpt_chan_time'
>     trialinfo: [314x32 double]
>           cfg: [1x1 struct]
> 
> 
> disp(EEG1_HC35_GA_JD_ICA_Coh70cov);
>           avg: [32x7000 double]
>           var: [32x7000 double]
>          time: [1x7000 double]
>           dof: [32x7000 double]
>         label: {32x1 cell}
>         trial: [206x32x7000 double]
>        dimord: 'rpt_chan_time'
>     trialinfo: [206x32 double]
>           cfg: [1x1 struct]
> 
> When I try to do the sourceanalysis by:
> 
> cfg        = [];
> cfg.method = 'mne';
> cfg.elec = elec_aligned;
> cfg.grid   = leadfield;
> cfg.vol    = vol;
> cfg.mne.prewhiten = 'yes';
> cfg.mne.lambda    = 3;
> cfg.mne.scalesourcecov = 'yes';
> sourceCoh5  = ft_sourceanalysis(cfg, EEG1_HC35_GA_JD_ICA_Coh5cov);
> sourceCoh70 = ft_sourceanalysis(cfg, EEG1_HC35_GA_JD_ICA_Coh70cov);
> 
> save source sourceCoh5 sourceCoh70;
> 
>  I get the error:
> 
> the input is timelock data with 32 channels and 7000 timebins
> using headmodel specified in the configuration
> using electrodes specified in the configuration
> determining source compartment (3)
> projecting electrodes on skin surface
> combining electrode transfer and system matrix
> creating dipole grid based on user specified dipole positions
> using headmodel specified in the configuration
> using gradiometers specified in the configuration
> 8196 dipoles inside, 0 dipoles outside brain
> the call to "ft_prepare_sourcemodel" took 0 seconds
> estimating current density distribution for repetition 1
> using pre-computed leadfields: some of the specified options will not have an effect
> Warning: computing a unregularised minimum norm solution. This typically does not work
> due to numerical accuracy problems 
> > In minimumnormestimate at 150
>   In ft_sourceanalysis at 856
> ??? Error using ==> mtimes
> Inner matrix dimensions must agree.
> 
> Error in ==> minimumnormestimate at 226
>   mom = w * dat;
> 
> Error in ==> ft_sourceanalysis at 856
>         dip(i) = minimumnormestimate(grid, sens, vol, squeeze_avg, optarg{:}); 
> 
> 
> 
> Is this due to the different trial numbers of the datasets or does it point to another problem?
> Thanks in advance
> Best
> 
> Leo
> RWTH Aachen Neurology
> 
> 
> 
> 
> 
> 

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