[Eeglablist] Epoch data after time-frequency transform?

[Tarik S Bel-Bahar]

Hello Eric,

Totally sane idea!

One option within eeglab is to cut into longer epochs, do TF,  and then
ignore the edges/artifacts time-periods of the epochs.

Another option is to review various TF techniques and use ones that create
less or little edge artifacts.

If you haven't had a chance to yet,  check out Mike X Cohen's excellent
books, matlab scripts, and videos about this.

Generally speaking you should be able to do this (e.g., epoch continuous
time data), but you may have to do so outside of eeglab and/or using some
eeglab functions in a code/script.

See also chronux toolbox too if you haven't had a chance to yet.





On Mon, Oct 30, 2017 at 8:11 AM, Eric Rawls <elrawls at email.uark.edu> wrote:

> Hello,
>
> I am looking for ways to improve the low-frequency resolution of
> time-frequency transforms, and I had the idea that it might be possible to
> transform the continuous data to a time-frequency representation (using
> wavelets or the Hilbert transform) before epoching the transformed data.
> This would avoid edge artifacts at all but the first and last trials.
> However, I'm not sure if this is possible in EEGLAB - does anyone have
> experience with this, or a workaround to cut epochs from continuous
> time-frequency domain data, time-locked to an event of interest?
>
> Thanks
>
> Eric Rawls, M.S.
> Graduate Research Assistant
> Department of Psychological Sciences
> University of Arkansas
>
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