[Eeglablist] Comparing erpImage between conditions/subjects and in Group level

[Makoto Miyakoshi]

Thank you Arno, good to know that.

Makoto


2013/8/15 Arnaud Delorme <arno at ucsd.edu>

> Dear Iman,
>
> Yes, sorting by reaction time is supported.
> Simply enter the optional information in the editing window. Something
> like 'sorttype', 'rt', 'sortfield', 'latency' if you have event types named
> 'rt' for reaction time.
> There is more information in the help message of the std_erpimage function.
> Best,
>
> Arno
>
> On 24 Jul 2013, at 17:51, Makoto Miyakoshi wrote:
>
> Dear Iman,
>
> I've never seen the RT plot option in the study erpimage. Probably that's
> not supported yet (I haven't checked it extensively though).
>
> Makoto
>
>
> 2013/7/24 Iman M.Rezazadeh <irezazadeh at ucdavis.edu>
>
>> Dear Makoto and EEGLabers,****
>>
>> I have tried ERPIMAGE using STUDY. But I could not get the Reaction Time
>> Graph overlaid on the group level ERPIMAGE. Do you have any thought?****
>>
>> Iman****
>>
>> ** **
>>
>> *From:* Makoto Miyakoshi [mailto:mmiyakoshi at ucsd.edu]
>> *Sent:* Monday, July 15, 2013 10:31 AM
>> *To:* Iman M.Rezazadeh
>> *Cc:* Arnaud Delorme; EEGLAB List
>> *Subject:* Re: Comparing erpImage between conditions/subjects and in
>> Group level****
>>
>> ** **
>>
>> Dear Iman,****
>>
>> ** **
>>
>> It seems there is no detailed document for study_erpimage yet. However,
>> you can learn the basic concept of erpimage at
>> http://sccn.ucsd.edu/wiki/Chapter_08:_Plotting_ERP_images.****
>>
>> ** **
>>
>> Performing group-level comparisons and statistics can be done by using
>> STUDY.design. When you create your STUDY, include group in one of two
>> experimental conditions.****
>>
>> ** **
>>
>> I don't know much about erpimage statistics, but I guess it should work
>> just as stats for ersp and itc works (across conditions).****
>>
>> ** **
>>
>> When you precompute erpimage, the number of lines should be less than the
>> smallest number of trials available per a condition... you have to be
>> careful about it. Actually there could be a function that automatically
>> computes the upper bound of the number of lines and suggests it.****
>>
>> ** **
>>
>> Makoto****
>>
>> ** **
>>
>> 2013/7/5 Iman M.Rezazadeh <irezazadeh at ucdavis.edu>****
>>
>> Hi Arno and EEGLABers,****
>>
>>  ****
>>
>> As per my last email about doing erpimage in *group* level , I just
>> wonder if there is any document or example that shows how shall I do that ?
>> Also, I would like to know more about the description like how different
>> number of trails in each condition are interpolated and how statistical
>> test are done over those data.****
>>
>>  ****
>>
>> I would be appreciative if you kindly back to me by your comments and
>> thoughts! ****
>>
>> Best,****
>>
>> Iman****
>>
>>  ****
>>
>> Iman M.Rezazadeh, PhD****
>>
>> Postdoctoral Research Fellow****
>>
>> Center for Mind and Brain****
>>
>> University of California, Davis****
>>
>> www.linkedin.com/pub/iman-m-rezazadeh/10/859/840****
>>
>> http://mindbrain.ucdavis.edu/people/imanmr****
>>
>> email : irezazadeh at ucdavis.edu****
>>
>> Tel: 530-297-4444****
>>
>> Cell:310-490-1808****
>>
>> Skype: Imanmr****
>>
>> ایمان محمد رضازاده****
>>
>> 伊芒*·*瑞扎扎德****
>>
>>  ****
>>
>>  ****
>>
>>  ****
>>
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>>  ****
>>
>>  ****
>>
>>  ****
>>
>>  ****
>>
>>  ****
>>
>>  ****
>>
>> *From:* Arnaud Delorme [mailto:arno at ucsd.edu]
>> *Sent:* Saturday, May 18, 2013 10:34 AM
>> *To:* Iman M.Rezazadeh
>> *Cc:* eeglablist at sccn.ucsd.edu; 'Makoto Miyakoshi'
>> *Subject:* Re: Comparing erpImage betweern conditions/subjects ****
>>
>>  ****
>>
>> Dear Iman,****
>>
>>  ****
>>
>> To make it short, the method we use is to compute ERPimage in each
>> subject and interpolate the number of trials so all ERPimage have the same
>> number of lines. There is no normalization by default.****
>>
>>  ****
>>
>> We then perform statistics across subjects as we do for time-frequency
>> images (ERSP). We are preparing a detailed description of this method.***
>> *
>>
>> Best,****
>>
>>  ****
>>
>> Arno****
>>
>>  ****
>>
>> On 12 May 2013, at 02:28, Iman M.Rezazadeh wrote:****
>>
>> ** **
>>
>> Hello,****
>>
>> Thanks for your reply,Arno!****
>>
>> 1-     What   statistical method is used in STUDY to  do btw group or
>> within group analysis ? how can it differentiate to erpimage from two
>> different conditions ?****
>>
>> 2-     how does it normalize the data for each subject to have a grand
>> erpimage ?****
>>
>> 3-     Are you aware of any publication using grand erpimage ?****
>>
>> Is it possible to send me the link to access the method in detail? I
>> cannot find on the EEGLAB website****
>>
>> Best,****
>>
>> Iman****
>>
>> *From:* Arnaud Delorme [mailto:arno at ucsd.edu <arno at ucsd.edu>]
>> *Sent:* Friday, May 10, 2013 10:26 PM
>> *To:* Iman M.Rezazadeh
>> *Cc:* eeglablist at sccn.ucsd.edu; 'Makoto Miyakoshi'
>> *Subject:* Re: Comparing erpImage betweern conditions/subjects****
>>
>>  ****
>>
>> Dear Iman,****
>>
>>  ****
>>
>> you can do different types of ERPimage group analysis in STUDY in EEGLAB
>> 12.****
>>
>> Best, ****
>>
>>  ****
>>
>> Arno****
>>
>>  ****
>>
>> On 3 May 2013, at 17:07, Iman M.Rezazadeh wrote:****
>>
>>
>>
>> ****
>>
>> Hi EEGLABers:****
>>
>>  ****
>>
>> 1-     Does anybody have any idea how can one normalize erpImage to
>> compare erpimages between two or more conditions or subjects who may have
>> different number of trials ?****
>>
>> 2-     Any idea for having erp-Image with Reaction Time graph on it at
>> the group level?****
>>
>>  ****
>>
>> Best,****
>>
>> Iman****
>>
>>  ****
>>
>> Iman M.Rezazadeh, PhD****
>>
>> Postdoctoral Research Fellow****
>>
>> Center for Mind and Brain****
>>
>> University of California, Davis****
>>
>> www.linkedin.com/pub/iman-m-rezazadeh/10/859/840****
>>
>> http://mindbrain.ucdavis.edu/people/imanmr****
>>
>> email : irezazadeh at ucdavis.edu****
>>
>> Tel: 530-297-4444****
>>
>> Cell:310-490-1808****
>>
>> Skype: Imanmr****
>>
>> ایمان محمد رضازاده****
>>
>> 伊芒*·*瑞扎扎德****
>>
>>  ****
>>
>>  ****
>>
>>  ****
>>
>> *-- The information contained in this message is intended only for the
>> recipient, and may be a confidential communication or may otherwise be
>> privileged and confidential and protected from disclosure. If the reader of
>> this message is not the intended recipient, or an employee or agent
>> responsible for delivering this message to the intended recipient, any
>> dissemination or copying of this communication is strictly prohibited. If
>> you have received this communication in error, please immediately notify us
>> by replying to the message and then deleting it from your computer.*****
>>
>>  ****
>>
>>  ****
>>
>>  ****
>>
>>  ****
>>
>>  ****
>>
>>  ****
>>
>>
>>
>> ****
>>
>> ** **
>>
>> -- ****
>>
>> 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
>
>
>
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-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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