If you just want to exclude those time points then you can use a time point exclude file. To do this, create a text file with the time in seconds of the time points you want to exclude (t=0 is first time point), put this file in the run folder (where the raw data is) then when making the analysis, specify -tpexclude filename. If you want to create a nuisance regressor, then create a text file with a value for each time point and put it in the run folder then run mkanalysis-sess with -nuisreg filename 1

doug

On 5/3/15 11:17 AM, Xiaomin Yue wrote:
Hi Doug,

Thanks for your response. I want to treat it as a nuisance variable. If so, should the #3 is best choice?

Xiaomin

------------------------------------------------------------------------
Date: Sun, 3 May 2015 11:06:01 -0400
From: [email protected]
To: [email protected]
Subject: Re: [Freesurfer] a mkanalysis-sess question


#1 and #3 are basically the same. If used as a task regressor, then a contrast for it will be created. #2 is a parametric modulation. Probably not what you want but see http://freesurfer.net/fswiki/FsFastParametricModulation

Do you want to treat it as a nuisance variable or task? In any event, I would probably recode it to make fixation=0 and non-fixation something else


On 5/2/15 5:34 PM, Xiaomin Yue wrote:

    Hi,

    I have a question related to how to make an appropriate design
    matrix using fs-fast 5.3.   Subjects’ eye movement was collected
    during an experiment.  Then, the data has been transformed to a
    continuous variable with a number for each TR.  The better
    fixation performance has higher number.  For example, a number
    would be 0 if subjects look away from a target within a TR.  In
    ideal situation, subjects should keep his eyes on target all the
    time, so the variable should be 1 for all TR.  According to
    mkanalysis-sess documents, it seems that there are three different
    ways to take into account of eye fixation performance: 1) use it
    as an external task regressor; 2) use it as a weight in the
    paradigm file (the fourth column); 3) use it as a nuisance
    regressor.  My question is what’s the difference between the three
    methods?  In my situation, which one is the best choice in my
    situation?


    I hope the question is clear.  Thanks so much for your help.


    Xiaomin



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