[Eeglablist] How to keep urevent information even after epoching

[Michelle Lee]

Dear Makoto, I am using version 2014b. I managed to fix this problem, thank
you for your reply!

On Tue, Jul 17, 2018 at 5:37 PM Makoto Miyakoshi <mmiyakoshi at ucsd.edu>
wrote:

> Dear Daniele,
>
> I'm interested in learning more detail about it.
> I checked Antonio's site but could not find the material you referred to.
> Could you please point me to the material I can read?
>
> Dear Michelle,
>
> Which version of EEGLAB are you using? There was a bug until ver.13 about
> epoch rejection. You may want to try with ver. 14 to check it again.
>
> Makoto
>
> On Mon, Jul 16, 2018 at 9:53 PM Daniele Marinazzo <
> daniele.marinazzo at gmail.com> wrote:
>
>> Hi,
>> I remember seeing this issue coming up other times, maybe you will find
>> the proper answer in past or future replies.
>> Here is the link to a pipeline compiled by Antonio Schettino (UGent),
>> which if I remember correctly addresses and solves this issue.
>> https://osf.io/z4es2/
>>
>> Hope this helps.
>> Daniele
>>
>>
>> On Mon, 16 Jul 2018, 06:10 Michelle Lee, <michelle.lee98 at gmail.com>
>> wrote:
>>
>>> Hello everyone,
>>>
>>> I am having some trouble with my ERPs in that none of them seem have a
>>> P1, P2 or EPN at all. We expected at least a little consensus to this
>>> pattern for all of our conditions.
>>> We think the problem lies in the latencies -somehow they were all
>>> changed after epoching.
>>>
>>> I did some research and someone mentioned how it was important to keep
>>> all original information in the EEG.urevent structure so that all original
>>> info (including latencies I'm assuming) will remain with the data even
>>> after epoching and manually removing trials.
>>>
>>> However I don't really know how I can achieve this; by default, eeglab
>>> seems to change the EEG.urevent timeline.
>>> If anyone can provide any insight I would be very grateful!
>>>
>>>
>>> Thanks,
>>>
>>> Michelle
>>>
>>>
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>
>
> --
> Makoto Miyakoshi
> Swartz Center for Computational Neuroscience
> Institute for Neural Computation, University of California San Diego
>
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