[Eeglablist] Handling Abrupt Changes After ASR Preprocessing

[Hanna Szakács]

In the case of a phase analysis, would the abrupt changes introduce noise,
masking the phase alignments, or introduce false data?

Arnaud Delorme via eeglablist <eeglablist at sccn.ucsd.edu> ezt írta (időpont:
2024. okt. 8., Ke 3:55):

> If you are using the clean_rawdata plugin on EEGLAB, it will add
> discontinuity events between segments (i.e. ‘boundary’ events). When you
> perform spectral decompositions in EEGLAB, the spectral decomposition will
> not cross these boundaries and will process each chunk individually (this
> is true for both the dataset and the study level).
>
> Arno
>
> > On Oct 7, 2024, at 11:53, Hanna Szakács via eeglablist <
> eeglablist at sccn.ucsd.edu> wrote:
> >
> > Hi, this is something that interests me as well and I haven't found a
> clear
> > answer online or on the EEGLAB forums so far. So I'm piggybacking on
> Masa's
> > message to ask the community for clarification.
> >
> > Best,
> > Hanna
> >
> > 和田真孝 via eeglablist <eeglablist at sccn.ucsd.edu> ezt írta (időpont: 2024.
> > okt. 6., Vas 3:22):
> >
> >> Hi all,
> >>
> >> I usually use ASR for preprocessing in resting-state EEG analysis. This
> >> function removes segments of data that contain excessive noise. It works
> >> quite well; however, after the rejection, it directly concatenates the
> >> periods before and after the removed segments, resulting in abrupt
> changes
> >> in the waveform. I am concerned that these abrupt changes may introduce
> >> additional noise, such as ripples, in subsequent steps of the analysis,
> >> such as time-frequency or connectivity analysis.
> >>
> >> Is this approach acceptable for further analysis? Or do you know of any
> >> good solutions to avoid this problem?
> >>
> >> Best,
> >> Masa
> >>
> >> --
> >> Masataka Wada
> >> Postdoctoral Scholar, Brain Stimulation Lab
> >> Department of Psychiatry and Behavioral Sciences
> >> Stanford University
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