Thank you for your quick response. Initially I had the same idea. 
Unfortunately, this easy solution does not work. All trials are successor of 
the previous and predecessor of the following trial. Therefore we can't just 
randomly distribute pairs of trials. The whole chain of trials has to be in 
proper order. ([A-B-A-A-B-B-B-A-...] = [AB BA AA AB BB BA ...])
My thinking was to somehow add these restrictions to the initial part of 
optseq2 algorithm and fix for null event interuptions afterwards...

Tilman


---------------------------------------------------------------------------------
Tilman J. Gaber, Dipl.Psych.
Translational Neuroscience in Psychiatry and Neurology
Dpt. of Child and Adolescent Psychiatry and Psychotherapy
RWTH Aachen University
Neuenhofer Weg 21
52074 Aachen
Germany

PHONE: +49-(0)241-80.85347
FAX: +49-(0)241-80.3335070
Email: tga...@ukaachen.de
________________________________________
Von: Douglas N Greve [gr...@nmr.mgh.harvard.edu]
Gesendet: Freitag, 26. Februar 2010 18:56
An: Gaber, Tilman
Cc: freesurfer@nmr.mgh.harvard.edu
Betreff: Re: [Freesurfer] Optseq2 - Incorporate sequential order of trials as a 
factor

You can specify that there are 4 trial types (AA, AB, BA, BB), and give
the duration twice that of the individual.

doug

Gaber, Tilman wrote:
> Dear mailinglist recipients,
>
> I am currently planning an optimized experiment using optseq2 and a 2x2 
> factors behavioral response task (Simon-task).
> The task consists of a pseudo-randomized series of two kinds of trials 
> (congruent and incongruent).
> In addition there is a sequential factor, i.e. it is of interest whether a 
> trial follows a trial of the same or the opposite kind. In other words there 
> are (2x2) four different conditions where trials relate to precedent trials  
> (AA,AB,BB,BA).
> Would it be possible to incorporate this sequential factor into the optseq2?
> I am aware that null events will fall between trials and thus interrupt trial 
> sequences.  Trials following null events would therefore be treated 
> separately (i.e. for data analysis). In order to obtain an equal number of 
> trials per condition, this would require increasing the number of trials 
> depending on the number and order of null events.
> Currently I am able to produce a randomized order of equally balanced trials 
> regarding trial type and sequential order (AA,AB,BB,BA).
> Any thoughts or suggestions are more than welcome!
>
> Best,
> Tilman
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>
>
>

--
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MGH-NMR Center
gr...@nmr.mgh.harvard.edu
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