using ft_sourcegrandaverage with spatio-temporal source reconstructions
a.wollbrink at UNI-MUENSTER.DE
Fri Sep 24 14:38:54 CEST 2010
I have a question concerning the usage of ft_sourcegrandaverage:
Feeding the ft_sourcegrandaverage function with spatio-temporal source
reconstruction data (MNE) resulted in the following error message:
??? Subscripted assignment dimension mismatch.
Error in ==> ft_sourcegrandaverage at 159
dat(:,i) = tmp(:);
I used the following settings:
cfg = ;
cfg.parameter = 'pow';
cfg.keepindividual = 'yes';
ft_sourcegrandaverage(cfg, src1, src2)
The two source reconstructions (MNE) I generated using ft_sourceanalysis.
Looking into the matlab code (ft_sourcegrandaverage at 159) I realized
that the problem seems to be that the matrices src1.avg.pow and
src2.avg.pow are two dimensional [Nsources x Nsamples].
By diminishing the source power matrix (avg.pow) to one dimension
(Nsources) I succedded using ft_sourcegrandaverage.
To perform a source statistic (ft_ft_sourcestatistics) later on it would
be nice to have the option to include time information as well (e.g.
like in timelockstatistics).
Please let me know whether generally it is impossible to use
spatio-temporal solutions in ft_sourcegrandaverage (and
Andreas Wollbrink, Biomedical Engineer
Institute for Biomagnetism and Biosignalanalysis
Muenster University Hospital
Malmedyweg 15 phone: +49-(0)251-83-52546
D-48149 Muenster fax: +49-(0)251-83-56874
e-Mail: a.wollbrink at uni-muenster.de
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