Oh, that's an error, you do not have to include --cache-in. Where is that page?

On 11/5/2020 10:32 AM, Agurne Sampedro Calvete wrote:

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Dear Douglas,

Thank you very much for your rapid response. I have another question.

I am following the FS Repeated Measures tutorial and therefore, I ran this: mris_preproc --target fsaverage --hemi lh --meas thickness --out lh.thickness.mgh --fsgd rmanova.fsgd. However, in the FS Group Analysis tutorial, it says that you must include "--cache-in thickness.fwhm10.fsaverage" if the data was preprocessed with recon-all with the -qcache option, which was my case. As I am doing longitudinal analyses, do I have to skip this option and just follow the Repeated Measures tutorial or do I have to include the --cache option?

Thank you very much.
Best regards,

Agurne

Neuropsychology of Severe Medical Conditions Research Team

Dpt of Methods and Experimental Psychology
Faculty of Psychology and Education

University of Deusto

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El jue., 5 nov. 2020 a las 15:58, Douglas N. Greve (<dgr...@mgh.harvard.edu <mailto:dgr...@mgh.harvard.edu>>) escribió:

    In this case, the paired-t is identical to RM 2x2 ANOVA. But to
    answer your question, the first example you give is the right way
    to handle it.


    On 11/5/2020 4:32 AM, Agurne Sampedro Calvete wrote:

            External Email - Use Caution

    Dear Freesurfer experts,

    I am trying to do a longitudinal repeated measures ANOVA 2x2,
    with two groups (experimental vs control) and two time points
    (pre and post treatment).

    Although I have run a paired t-test, now I would like to do a
    repeated measures anova 2x2, since I am doing the same analyses
    with other data in other softwares.

    I am trying to follow the tutorial *MailScanner has detected a
    possible fraud attempt from "secure-web.cisco.com" claiming to
    be*
    https://surfer.nmr.mgh.harvard.edu/fswiki/RepeatedMeasuresAnova
    
<https://secure-web.cisco.com/1xcEvqAuPN3MsqK1JjC6qoZbooZS3kpB4WEU1Lx8hK28grFkOWFgj7ja5TXppcZRh8Vr2s3TJyQKT-sr-c0qt4XJSU7f74cElgVAI4K1nOBI5i5L0YQBzYutTVn-MwCGM_OotAt9VM1mzmm1MUuXbYtZC4-QfIujBH30LAwD5RtwZ6vGRv4JC7ocISixV0s52BsCadrLE2J-3CdqLLZnJRA/https%3A%2F%2Fsurfer.nmr.mgh.harvard.edu%2Ffswiki%2FRepeatedMeasuresAnova>,
    but I have several doubts when designing the FSGD file as well as
    the contrasts.

    How should it be the FSGD file?

    I have seen in a previous post the following design for the same
    number fo groups and time points:

    GroupDescriptorFile 1

    Class Subject1

    Class Subject2

    Variables
                                                Tp1vsTp2.GrExp
       Tp1vsTp2.GrControl

    Input   Subject1_time1  Subject1
        1                                 0

    Input   Subject1_time2  Subject1 -1                                0

    Input   Subject2_time1  Subject2 0                                 1

    Input   Subject2_time2  Subject02
     0                                 -1

    Design matrix:

    1 0 1 0

    1 0 -1 0

    0 1 0 1

    0 1 0 -1


    Contrasts (.mtx files):
    Tp1vsTp2.GrExp   0 0 1 0
    Tp1vsTp2.GrControl 0 0 0 -1
    Interaction         0 0 1 -1

    Would this design be the correct one to use in this case?

    Alternatively, could it be this the correct one?

    GroupDescriptorFile 1

    Class Subject1

    Class Subject2

    Variables                                             Tp1vsTp2
             Groupxtime

    Input  Subject1_time1  Subject1
        1                                1

    Input  Subject1_time2  Subject1 -1 *-1*

    Input   Subject2_time1  Subject2   1 *-1*

    Input  Subject2_time2  Subject02  -1                              1

    Design matrix:

    1 0  1 1

    1 0 -1 -1

    0 1  1 -1

    0 1  -1 1

    Contrasts (.mtx files):

    Tp1vsTp2         0 0 1 0

    Groupxtime Interaction   0 0 0 1


    Thank you very much in advance.

    Kind regards,

    Agurne

    Neuropsychology of Severe Medical Conditions Research Team

    Dpt of Methods and Experimental Psychology
    Faculty of Psychology and Education

    University of Deusto

    neurolab.deusto.es
    
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    48007, Bilbao (Spain)

    Phone: +34 944139000 (ext. 3015)


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