[FieldTrip] ICA artifact correction for continuous multimodal MEG and EEG data

Erfan Vi erfan1994vi at gmail.com
Sat Jan 30 18:43:56 CET 2021


Hi Jan,
I'm so glad to see your mailed response. I will clean both the modalities
separately as you suggested, but can I be in contact with you to share the
results of artifact correction because of probabilistic questions that are
arisen when I perform the ICA?

Best,
Erfan

On Sat, Jan 30, 2021 at 6:53 PM Schoffelen, J.M. (Jan Mathijs) <
jan.schoffelen at donders.ru.nl> wrote:

> Hi Erfan,
>
> Welcome to FieldTrip! Yes, it is possible to use an ICA procedure to clean
> your continuous data. In theory, it is possible to unmix (with ICA) the EEG
> and MEG data in a single call to ft_componentanalysis. Yet, I would be
> reluctant to do this. Although not inhibited by practical insights, I think
> that such an approach could be suboptimal. The reason for this is that,
> when the signals are backprojected from components to channels, all
> backprojected channels will be mixtures of EEG and MEG signals. I’d rather
> run the cleaning procedure twice, i.e. unmix and backproject the EEG and
> MEG channels separately.
>
> Best wishes,
> Jan-Mathijs
>
>
> > On 30 Jan 2021, at 09:10, Erfan Vi <erfan1994vi at gmail.com> wrote:
> >
> > Dear all,
> > I am an SPM user and not familiar with the Fieldtrip toolbox and have a
> resting state multimodal MEG and EEG data without any trial definition for
> epoching.  What I want to know is that can I use ICA artifact correction
> for my multimodal continuous data (10 minutes recorded data) and get
> acceptable results? I have performed SVD artifact correction in SPM but the
> output wasn't good. I have used the EEGLAB toolbox just for EEG and the
> result wasn't acceptable again, because I think EEGLAB performance depends
> on epoching the data but it's crucial for me to maintain the continuous
> form. Does the same condition true about the Fieldtrip?
> > Best regards,
> > Erfan
> > _______________________________________________
> > fieldtrip mailing list
> > https://mailman.science.ru.nl/mailman/listinfo/fieldtrip
> > https://doi.org/10.1371/journal.pcbi.1002202
>
>
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> https://doi.org/10.1371/journal.pcbi.1002202
>
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