[Eeglablist] Handling Abrupt Changes After ASR Preprocessing
Arnaud Delorme
adelorme at ucsd.edu
Mon Oct 7 18:08:49 PDT 2024
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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