[FieldTrip] Source Reconstruction - Leadfield has NaNs
Emilie Caspar
ecaspar at ulb.ac.be
Thu Dec 9 11:15:47 CET 2021
Dear Fieldtripper,
I am currently trying to compute a source reconstruction on my EEG data (Biosemi, 64 electrodes).
I use the following code:
load Subject01_sourcemodel_15684;
headmodel = ft_read_headmodel('headmodel/standard_bem.mat');
electr_pos=ft_read_sens('Biosemi-Cap64.sfp’);
load('GA_GroupPerpetrators_Parents_Neutral_DOUL.mat')
cfg = [];
cfg.method = 'interactive';
cfg.elec = electr_pos;
cfg.headshape = headmodel.bnd(1); %1 = skin
elec = ft_electroderealign(cfg, electr_pos);
cfg = [];
cfg.elec = elec; % sensor information
cfg.channel = elec.label;%; % the used channels
cfg.sourcemodel = sourcemodel; % source points
cfg.headmodel = headmodel; % volume conduction model
cfg.singleshell.batchsize = 5000; % speeds up the computation
leadfield = ft_prepare_leadfield(cfg);
%%
cfg = [];
cfg.method = 'mne';
cfg.elec = elec;
cfg.grid = leadfield;
cfg.headmodel = headmodel;
cfg.mne.prewhiten = 'yes';
cfg.mne.lambda = 3;
cfg.mne.scalesourcecov = 'yes';
source_GA_GroupPerpetrators_Parents_Neutral_DOUL = ft_sourceanalysis(cfg, GA_GroupPerpetrators_Parents_Neutral_DOUL);
However, I got the following error when computing the ft_sourceanalysis:
Error using svd
Input to SVD must not contain NaN or Inf.
Error in beamformer_lcmv>pinv (line 415)
[U,S,V] = svd(A,0);
Error in beamformer_lcmv (line 297)
filt = pinv(lf' * invCy * lf) * lf' * invCy; % van Veen eqn.
23, use PINV/SVD to cover rank deficient leadfield
Error in ft_sourceanalysis (line 950)
dip(i) = beamformer_lcmv(grid, sens, headmodel, squeeze_avg, squeeze_Cy,
optarg{:});
I checked in all the datafiles I use, and the only NaN I found are in the leadfield.leadfield but all the previous steps appear to be correct and contain the correct electrode locations, data, covariance matrix etc.
I am thus not sure how to solve the problem and why my leadfield.leadfield has NaN (or even if the problem comes from there).
Thank you in advance for your help!
Emilie
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