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

Thu Aug 15 22:30:38 PDT 2013

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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> 
> -- 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.
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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] 
> 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.
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> --
> 
> 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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