[Eeglablist] ICA components correspond to channels after full rank ave reference

[Makoto Miyakoshi]

Hi Grace,

 none of the data I used to develop the pipeline had channels that needed
to be rejected


That's the best. Quality of spline interpolation of electrodes at the
border is known to be poor and there is no solution for that, though they
are the ones that are more likely to show outlier values than other
electrodes surrounded by others.

Makoto

On Thu, Apr 30, 2026 at 11:36 AM Grace Harvie via eeglablist <
eeglablist at sccn.ucsd.edu> wrote:

> Hi Makoto,
>
> Your appraisal of the ICA decomposition and reassurance is very much
> appreciated!
>
> While I was still initially wary of the full-rank ICA results looking a
> little too perfect, I compared the activity power spectra and continuous
> data plot/ERP image for a few components and their seemingly corresponding
> channels, as well as the channel data (scroll) and component activations
> (scroll).  I'm not sure why I didn't think to compare these before, but it
> does appear that the ICA algorithm is indeed separating different sources.
>
> Additionally, thanks for picking up on the lack of channel interpolation
> in my preprocessing pipeline - this slipped my mind because none of the
> data I used to develop the pipeline had channels that needed to be rejected
> (including the data pictured in the image from my previous email).
> Regardless, I will add that step now so it doesn't get missed.
>
> Many thanks,
> Grace Harvie
>
> PhD Candidate, Faculty of Medicine and Health, University of Sydney
>
> Research Assistant, Brain Dynamics Centre
>
>
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