[Eeglablist] How can I epoch events followed by correct response only?

[Rafał Jończyk]

Dear Makoto,

Oh! I missed that. Indeed I'm using numeric codes only. Now it's working
like a charm. Thank you Makoto and Mikołaj once again!

Best,
Rafał

2014-10-07 22:47 GMT+02:00 Makoto Miyakoshi <mmiyakoshi at ucsd.edu>:

> Dear Rafal,
>
> Check whether your event markers are string or numeric... Mikolaj's code
> assumes they are string, but I know users often have numeric event markers.
>
> By the way Mikolaj's code is wonderful as always.
>
> Makoto
>
> On Tue, Oct 7, 2014 at 12:52 AM, Rafał Jończyk <rafal.jonczyk at gmail.com>
> wrote:
>
>> Hej Mikołaj,
>>
>> Thank you so much for your help! The script makes perfect sense, but,
>> somehow, Matlab tells me that the epoch range is empty.
>> 'pop_epoch(): empty epoch range (no epochs were found).'
>> I checked the 'EEG.event' and 'EEG.event.type', and everything looks fine
>> there. Moreover, in each and every case an event of interest is followed
>> either by '1' (correct) or by '2' (incorrect), so this script should be
>> working easily.
>> I don't think there is something wrong with the event list as it has been
>> working so far when I epoched the data with a bigger time limit [-0.105
>> 2.5] to "grasp" the event and correct response triggers in one epoch, run
>> the ICA, and later epoch the data again in erplab with time limit [-0.1 1].
>> Maybe it does not recognize the line that it should epoch to the trigger
>> before '1' (prev_ev = corr_tp - 1;)?
>>
>> Best,
>> Rafał
>>
>> 2014-10-04 0:42 GMT+02:00 Mikołaj Magnuski <imponderabilion at gmail.com>:
>>
>>> Hej Rafał,
>>>
>>> I think the most straightforward way would be to find event indices that
>>> are followed by events marking correct response. Then you can use these
>>> event indices to epoch the data.
>>>
>>> If your correct response events are of type '1' (EEG.event.type) as you
>>> suggest you can try the following:
>>>
>>> % set the epoching limis:
>>> ep_lim = [-0.2, 0.7];
>>> % look for 'correct' markers:
>>> tps = {EEG.event.type};
>>> corr_tp = find(strcmp('1', tps));
>>> % the following step assumes that all correct responses are preceded
>>> with events that you want to epoch you data with, this may not necassarily
>>> be the case
>>> prev_ev = corr_tp - 1;
>>> % epoch with respect to event just before correct markers:
>>>
>>>
>>> EEG = pop_epoch( EEG, {}, ep_lim, 'eventindices', prev_ev);
>>>
>>>
>>
>>
>> --
>> Rafał Jończyk, MA
>> Interdisciplinary PhD Program: Language, Society, Technology and Cognition
>> Faculty of English
>> Adam Mickiewicz University, Poznań
>> Poland
>>
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>
>
>
> --
> Makoto Miyakoshi
> Swartz Center for Computational Neuroscience
> Institute for Neural Computation, University of California San Diego
>



-- 
Rafał Jończyk, MA
Interdisciplinary PhD Program: Language, Society, Technology and Cognition
Faculty of English
Adam Mickiewicz University, Poznań
Poland
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