[Eeglablist] Spatial topography after ICA

[Makoto Miyakoshi]

Hi Knut,

For n-th IC,

EEG.icawinv(:,n)

figure
topoplot(EEG.icawinv(:,n), EEG.chanlocs)

Read also this paper if you are interested. This paper frightened some
researchers. But in short, as long as you use EEG.icawinv, you are fine. My
understanding is that the above paper gives you a warning that you can't do
the same with EEG.icaweights(n,:). Someone please tell me if I'm wrong here.

Haufe S, Meinecke F, Görgen K, Dähne S, Haynes JD, Blankertz B, Bießmann F.
(2014).  On the interpretation of weight vectors of linear models in
multivariate neuroimaging. Neuroimage. 87:96-110. DOI:
10.1016/j.neuroimage.2013.10.067, PMID: 24239590

Makoto

On Wed, Jan 31, 2024 at 12:38 PM Knut-André Skaug via eeglablist <
eeglablist at sccn.ucsd.edu> wrote:

> Hi,
>
> I would like to extract the spatial patterns after ICA as vectors.
>
> How are these estimated when topoplotting?
>
> Kind regards
> Knut
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