You can try running mri_glmfit to run a fixed effects analysis
fist, concatenate all the ces.nii.gz files (mri_concat */ces.nii.gz --o all.ces.nii.gz)
second, do the same for the cesvar.nii.gz files
third, compute total dof (see the dof.dat files in each run folder)
4th, mri_glmfit --y all.ces.nii.gz --yffxvar all.cesvar.nii.gz --ffxdof DOFtotal --osgm --glmdir glmdiroutput If you want to do a higher level analysis, then you will have to do it by hand (ie, not using isxconcat-sess)



On 6/25/2022 4:57 PM, Caspar M. Schwiedrzik wrote:

        External Email - Use Caution

Hi Doug,
thanks for the advice! I can compute the GLM and contrasts per run.
But selxavg3 does not compute contrasts across the runs with per-run.
Could you give me some advice on how to concatenate the per run contrasts - can I just append them and add the df degrees of freedom?
Thanks, Caspar


Am Fr., 24. Juni 2022 um 16:36 Uhr schrieb Douglas N. Greve <dgr...@mgh.harvard.edu>:

    *Caution: External email*

    Sorry, I thought I sent an email responding to this. Try running
    it with -run-wise. This will analyze each run separately. I can't
    remember whether it generates a final combined average (been a
    long time since I used this option), but run it and see what it does.

    On 6/23/2022 2:00 PM, Caspar M. Schwiedrzik wrote:

            External Email - Use Caution

    Hi!
    Any advice on this issue?
    The error message is:

    Starting contrasts
    UrInv J=1 -------------
    Out of memory. Type "help memory" for your options.

    Error in fast_glm_pcc (line 39)
    yhatd = Rd*(X*beta);

    Error in fast_fratiow (line 136)
          if(nargout == 6) pccbin =
    fast_glm_pcc(beta(:,indbin),Xbin,C,rvarbin);
          end

    Error in fast_selxavg3b (line 1148)
     fast_fratiow(betamat,X,rvarmat,C,acfsegmn,acfseg.vol(:));

    >> ------------------------------------------
    ERROR: fast_selxavg3() failed\n

    Thank you,
    Caspar


    Am Mo., 20. Juni 2022 um 10:17 Uhr schrieb Caspar M. Schwiedrzik
    <cschwie...@rockefeller.edu>:

        Hi!
        I am running large single subject GLMs with selxavg3-sess and
        I run into a Matlab "out of memory" error. I was wondering
        whether you had any advice on how to get around that.

        I have 40-50 runs per subject, and the analyses are whole brain.
        The GLM per subject runs through fine, but the error occurs
        once selxavg3-sess starts computing contrasts.
        The problem occurs with v5.3 and v7.2.

        This is a Centos 7 system with 320 GB of memory, and 7 GB of
        swap memory.

        Any advice would be appreciated!
        Caspar




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