[Eeglablist] ASR parameters for adults vs. kids/clinical populations

[Anna Kasdan]

Hi all,

Thanks for this information. I am re-running things with the new ASR
parameter recommendations, as I had used some of the old recommendations
before.

And in fact Gedeon we have the same paradigm in infants, children, adults,
and different clinical populations so maybe at some point I could delve
into this systematically!!

Anna


On Tue, Jan 21, 2020 at 1:46 PM Makoto Miyakoshi <mmiyakoshi at ucsd.edu>
wrote:

> Dear Anna,
>
> ＞I am using ASR to clean EEG data and am wondering if anyone recommends
> using different parameter values in the ASR function for adult data (i.e.
> relatively clean) vs. kid/clinical data (relatively messy).
>
> For the recommended parameters, see these papers.
>
> https://sccn.ucsd.edu/wiki/Artifact_Subspace_Reconstruction_(ASR)#Reference_.2809.2F11.2F2019_update.29
>
> ＞Is it possible also for ASR to "overclean" data from a dataset that is
> originally pretty
> good?
>
> Generally speaking, ASR tend to cut a lot. The point of the very lax
> criteria (>> 10) recommended in the abovelinked papers is to adjust the
> amount of cutting.
>
> Basically, for standard data use 20 all the time. For messy data, use
> 10-20. For my chronic tic patient's data (subjects were ticing and blinking
> during EEG recording), I used 6-8. See Loo et al. (2019) NeuroImage
> Clinical.
>
> Makoto
>
>
>
> On Tue, Jan 21, 2020 at 12:49 AM Anna Kasdan <avkasdan at gmail.com> wrote:
>
> > Hi all,
> >
> > I am using ASR to clean EEG data and am wondering if anyone recommends
> > using different parameter values in the ASR function for adult data (i.e.
> > relatively clean) vs. kid/clinical data (relatively messy). Is it
> possible
> > also for ASR to "overclean" data from a dataset that is originally pretty
> > good?
> >
> > Thank you!
> >
> > Anna Kasdan
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