[Eeglablist] newtimef with independent components

[Johanna Wagner]

Hi Cigir,

you can compare 2 conditions from independent components using the
newtimef function. simply instead of EEG.data use EEG.icaact

e.g.

IC = [16 17]
for k = IC
newtimef ({ALLEEG(1).icaact(k,:,:) ALLEEG(2).icaact(k,:,:)},
ALLEEG(1).pnts, [ALLEEG(1).xmin  ALLEEG(1).xmax]*1000,
ALLEEG(1).srate, 0, 'cycles', [0], 'alpha', 0.05, 'padratio', 8);
end

hope that helps,
Johanna

2011/9/7 Cigir Kalfaoglu <c.kalfaoglu at sheffield.ac.uk>
>
> Hello,
>
> A simple question with possibly a one line answer:
>
> I am trying to calculate ERSP/ITC differences between conditions using newtimef. However, I would like to use data from independent components, rather than channels when doing so. I know pop_newtimef has the option to do this via the key 'typeproc', but I couldn't get pop_newtimef to work with two datasets.
>
> Is there a way to analyse independent components using newtimef, or alternatively, to use pop_newtimef with 2 datasets?
>
> Thank you,
> C
>
>
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