[Eeglablist] Makoto's preprocessing pipeline: ICA matrices transfer

Makoto Miyakoshi mmiyakoshi at ucsd.edu
Fri Oct 15 15:48:51 PDT 2021


Dear Ya,

> I calculated ICA weight matrix and sphereing matrix with 1-35 Hz
band-passed data, then appled it to 0.1-Hz high-passed data. Then, I
applied the ICLabel to identify the artifact-related ICs. My question is
which dataset should be applied to?

So you don't want to apply a 1-Hz high-pass filter to your finalized data,
correct?

Regardless, ICLabel may be applied to either of the data.

Most likely, ICLabel uses learning results from broadband (1-64Hz, 1-128Hz,
1-256Hz even?) spectra. Unless you know ICLabel learned from 1-35Hz data,
it's probably safer to stick to more conventional broadband (1-64 or above
Hz) data to apply ICLabel.

Makoto


On Thu, Oct 7, 2021 at 9:21 AM Ya Zheng via eeglablist <
eeglablist at sccn.ucsd.edu> wrote:

> Hi Makoto,
> I calculated ICA weight matrix and sphereing matrix with 1-35 Hz
> band-passed data, then appled it to 0.1-Hz high-passed data. Then, I
> applied the ICLabel to identify the artifact-related ICs. My question is
> which dataset should be applied to? The 1-35 band-passed data or the 0.1-Hz
> high-passed data? I found that the ICLabel resulted in some different
> results, e.g, more muscle ICs found for the 0.1-Hz high-pass data. Thanks!
> Best,
> Ya
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