[Eeglablist] Rank Deficiency Error on Select Few Subjects

[Makoto Miyakoshi]

Hi Olivia,

Did you apply electrode interpolation? It can cause a problem. The
explanation can be found in ICA's bug paper. Cedric's explanation and
calculation is based on this paper (he is one of the authors).
https://urldefense.com/v3/__https://www.frontiersin.org/articles/10.3389/frsip.2023.1064138/full__;!!Mih3wA!DOgxfKiJJmoKr55W1RI1HjJ_I6v8v9qWjkKsa94sUgWIgUM-PhKeq7wwcODq4WYrKEX0VHp_bFm_cJ7rpzCJ5ZSxBUo$ 

Makoto

On Thu, Mar 21, 2024 at 3:45 PM Olivia Rowe via eeglablist <
eeglablist at sccn.ucsd.edu> wrote:

> Hi all,
>
> We are using an EEGLab pipeline to analyze 30 subjects who underwent the
> same recording protocol. However, we have a subset of recordings (n=7)
> which fail during ICA decomposition due to the following error: “Quitting –
> weight matrix may not be invertible. This is not a bug.” We have narrowed
> down the issue to the high pass filter step (i.e., if we include all other
> steps of preprocessing except high pass filter, ICA runs to completion).
> Expanding the bandpass filter, originally .1-100 Hz, to 2-100 Hz doesn’t
> help. It also does not seem to be an error in re-referencing or other
> artifact removal steps. Additionally, given our 30-channel recording, we
> tried manually lowering the desired ICA components to 20, but were still
> rank deficient. Thanks in advance for any help!
>
> -Olivia
> 2:41<
> https://urldefense.com/v3/__https://cognito-team.slack.com/archives/D05STQ15N82/p1710960081719099__;!!Mih3wA!E06DAWC6A3SI67h3rmWzhw8MX-b_jX-hFpHAxNCo08N_MNm0EWIjdoi9SbTwOUcWD2yUK1XUu-PDjGLMHCsHeQ$
> >
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