[Eeglablist] Urgent help

Makoto Miyakoshi mmiyakoshi at ucsd.edu
Tue Jan 24 11:04:52 PST 2017


Dear Andria,

If you don't have event markers, you cannot apply event-related potential
analysis. All you can use is basically spectra in EEGLAB STUDY.

> 1- For first subject, how did you recommend saving the recorded data
(during the experiment) to be used later at preprocessing stage and STUDY
option?

Save as a single .set file. Again, if you don't have events, that's the
only option for you.

> 2- However, do you recommend *ALWAYS* using **only** one file to save the
data for each subject (all conditions) with both ERP and ERSP analysis?

Yes, I recommend that. Historically, EEGLAB supported separate .set files
for different conditions, but now STUDY.design can handle them, and the old
method tend to have compatibility problem so less stable.

Makoto


On Tue, Jan 17, 2017 at 6:12 PM, Andria Lan <andrialan108 at gmail.com> wrote:

> Dear Makoto,
>
> Thanks a lot for your prompt reply and the useful link. However, I don't
> have any events (markers) for participants' recorded data. I have only the
> signal resulting from the task.
>
> Here is the scenario:
>
> For the sake of clarity (for now), I have:
>
> a) 30 subjects
> b) 2 conditions.
> c) 10 visual task trials for each condition.
> d) subjects only need to see the trials.
> e) not button pressing-->no ERP analysis (analysis only based
> "time-frequency" or "ERSP")
>
> My questions:
>
> 1- For first subject, how did you recommend saving the recorded data
> (during the experiment) to be used later at preprocessing stage and STUDY
> option?
>
> 2- However, do you recommend *ALWAYS* using **only** one file to save the
> data for each subject (all conditions) with both ERP and ERSP analysis?
>
>
> ​​​
>  STUDY for loading the data.png
> <https://drive.google.com/file/d/0B430Bz2U6pH-N0J1TnJITk5rblk/view?usp=drive_web>
>> Thank you.
> Andria
>
> On Fri, Jan 13, 2017 at 3:30 PM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu>
> wrote:
>
>> Dear Andria,
>>
>> If you follow our recommended preprocessing steps, you don't need to
>> average any data before STUDY does it on it own.
>>
>> > is it enough (and correct way) loading the data files (for each
>> subject) one-by-one under each condition using the “STUDY” option of EEGLAB?
>>
>> Do not separate .set into conditions. See this section.
>> https://sccn.ucsd.edu/wiki/Makoto%27s_preprocessing_pipeline
>> #Create_STUDY_.2801.2F05.2F2017_updated.29
>>
>> Makoto
>>
>>
>>
>> On Thu, Jan 12, 2017 at 1:58 AM, Andria Lan <andrialan108 at gmail.com>
>> wrote:
>>
>>> Dear EEGLAB list,
>>>
>>>
>>>
>>> I need your advice about implementing this scenario using EEGLAB toolbox.
>>>
>>> I have this issue and I need your advice:
>>>
>>>
>>>
>>> I performed my experiment on several subjects, the task doesn't required
>>> any events because it's only about watching several trials where each
>>> belongs to one specific condition. Hence, I ended up with several data
>>> files for each subject. In addition, I don’t have any epochs in those
>>> files, and my aim is performing time-frequency analysis. Now, in order to
>>> do such analysis using EEGLAB toolbox, is it enough (and correct way)
>>> loading the data files (for each subject) one-by-one under each condition
>>> using the “STUDY” option of EEGLAB?
>>>
>>>
>>>
>>> Do average the results (files) for each subject is required at this
>>> stage, or by using the STUDY option this method will be accomplished
>>> automatically?
>>>
>>>
>>>
>>> Any help would be highly appreciated.
>>>
>>>
>>>
>>> Thanks.
>>>
>>>
>>> Andria
>>>
>>> _______________________________________________
>>> Eeglablist page: http://sccn.ucsd.edu/eeglab/eeglabmail.html
>>> To unsubscribe, send an empty email to eeglablist-unsubscribe at sccn.uc
>>> sd.edu
>>> For digest mode, send an email with the subject "set digest mime" to
>>> eeglablist-request at sccn.ucsd.edu
>>>
>>
>>
>>
>> --
>> Makoto Miyakoshi
>> Swartz Center for Computational Neuroscience
>> Institute for Neural Computation, University of California San Diego
>>
>
>


-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://sccn.ucsd.edu/pipermail/eeglablist/attachments/20170124/2a0ddaf7/attachment-0001.html>


More information about the eeglablist mailing list