[FieldTrip] Implementation for wavelet-enhanced ICA
Zoltan Juhasz
z65.juhasz at gmail.com
Thu Jun 1 14:51:56 CEST 2023
Dear Jan,
We have implemented one version with my -then- PhD student, which may be
usable but probably needs some update and polishing. It was not intended
for public use but for artifact removal research. If you are interested,
please, drop me an email and we can discuss it further.
Zoltan Juhasz (juhasz at virt.uni-pannon.hu)
University of Pannonia, Veszprem, Hungary
On Thu, Jun 1, 2023 at 2:45 PM Jan Ostrowski via fieldtrip <
fieldtrip at science.ru.nl> wrote:
> Dear FieldTrip community,
>
> I have been wondering whether there is an implementation in FieldTrip
> that allows the use of wavelet-enhanced ICA, since I have not been able
> to find one yet.
>
> My aim is to preprocess EEG data that should later be used for analysis
> of phase-based connectivity. However, conventional ICA is said to cause
> distortions in amplitude and phase, and therefore lead to confounds in
> the data when analyzing connectivity. In wavelet-enhanced ICA, on the
> other hand, one would use discrete wavelet transform on the
> artifact-related independent components to filter out the artifacts and
> keep the components, rather than rejecting the whole component and with
> it also valuable signal. That is my understanding at least, so far.
>
> If there is no such implementation in FieldTrip, can you think of other
> toolboxes that might have it? Maybe somebody implemented this in the
> past and could give some pointers on the exact steps of computation.
>
> Any advice is greatly appreciated!
>
> Many thanks!
> Jan Ostrowski
>
> --
> Jan Ostrowski, M.Sc.
> Department of Systems Neuroscience
> University Medical Center Hamburg-Eppendorf
> Martinistr. 52
> Building W34, Room 320b
> D-20246 Hamburg, Germany
>
> --
>
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