[FieldTrip] ICA on ERP data

[Martin Rosenfelder]

Dear Fieldtrip community,

I am analyzing ERP data in the time-frequency domain according to the 
tutorial "Multivariate analysis of electrophysiological data", where I 
am comparing two experimental conditions.
The artifact removal in the data is done using ft_componentanalysis. As 
cfg.method for the ICA I have selected the default, which is 'runica'. 
 From the tutorial mentioned above, I assume that this is the preferred 
way to do the ICA on EEG data to detect ERPs in the time-frequency 
range. Would you agree or is there another ICA method possibly fitting 
the data better?

Thank you very much in advance!

Kind regards,
Martin Rosenfelder

-- 
M.Sc.-Psych. Martin Rosenfelder
Research Associate
PhD Student
Clinical and Biological Psychology
Ulm University
Room: 47.2.259
Phone: +49 731-50 26592
E-mail: martin.rosenfelder at uni-ulm.de

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https://doi.org/10.1371/journal.pcbi.1002202