PALM handles GIFTI and CIFTI data.

Peace,

Matt.

On 8/29/16, 6:21 PM, "Douglas N Greve"
<freesurfer-boun...@nmr.mgh.harvard.edu on behalf of
gr...@nmr.mgh.harvard.edu> wrote:

>Does PALM do surface-based? Also, there is no way to appropriately
>handle this. For permutation, non-orthogonal designs are wrong. There
>are ways to try to compensate for it, which is what PALM is doing. Sorry
>to be nit-picky!
>
>
>On 08/29/2016 06:12 PM, Harms, Michael wrote:
>> Hi Maaike,
>> Why not just use PALM?  Then you don¹t have to worry about this (since
>> PALM appropriately handles the situation of correlated covariates).
>>
>> cheers,
>> -MH
>>
>> --
>> Michael Harms, Ph.D.
>>
>> -----------------------------------------------------------
>> Conte Center for the Neuroscience of Mental Disorders
>> Washington University School of Medicine
>> Department of Psychiatry, Box 8134
>> 660 South Euclid Ave.Tel: 314-747-6173
>> St. Louis, MO  63110Email: mha...@wustl.edu
>>
>>
>>
>>
>> On 8/29/16, 4:45 PM, "freesurfer-boun...@nmr.mgh.harvard.edu on behalf
>>of
>> Douglas N Greve" <freesurfer-boun...@nmr.mgh.harvard.edu on behalf of
>> gr...@nmr.mgh.harvard.edu> wrote:
>>
>> It is hard to say. Since the subjects are not exchangeable, the
>> permutation is technically not appropriate. Check the winkler paper,  I
>> think he talks about what happens if you just don't do anything.
>>
>>
>> On 08/29/2016 11:07 AM, maaike rive wrote:
>>> Hi all,
>>>
>>>
>>> Is using forced permutation for non-orthogonal design matrices wrong
>>> or is it allowed to do this instead of using tools like palm (what
>>> happens eg with the covariates when using forced permutation)? I
>>> used forced permutation  and it seemed to work, results were (partly)
>>> comparable to what I found with monte carlo simulations.
>>>
>>>
>>> Thanks, Maaike
>>>
>>> 
>>>------------------------------------------------------------------------
>>> *Van:* freesurfer-boun...@nmr.mgh.harvard.edu
>>> <freesurfer-boun...@nmr.mgh.harvard.edu> namens Harms, Michael
>>> <mha...@wustl.edu>
>>> *Verzonden:* vrijdag 26 augustus 2016 01:00:13
>>> *Aan:* Freesurfer support list
>>> *Onderwerp:* Re: [Freesurfer] mri_glmfit-sim permutation testing
>>> running after 3 days!
>>>
>>> Hi,
>>> You might want to check out FSL¹s PALM tool, which has a bit more
>>> sophisticated permutation framework, and allows for permutation in the
>>> context of non-orthogonal covariates.
>>>
>>> cheers,
>>> -MH
>>>
>>> --
>>> Michael Harms, Ph.D.
>>> -----------------------------------------------------------
>>> Conte Center for the Neuroscience of Mental Disorders
>>> Washington University School of Medicine
>>> Department of Psychiatry, Box 8134
>>> 660 South Euclid Ave.Tel: 314-747-6173
>>> St. Louis, MO  63110Email: mha...@wustl.edu
>>>
>>> From: <freesurfer-boun...@nmr.mgh.harvard.edu
>>> <mailto:freesurfer-boun...@nmr.mgh.harvard.edu>> on behalf of Ajay
>>> Kurani <dr.ajay.kur...@gmail.com <mailto:dr.ajay.kur...@gmail.com>>
>>> Reply-To: Freesurfer support list <freesurfer@nmr.mgh.harvard.edu
>>> <mailto:freesurfer@nmr.mgh.harvard.edu>>
>>> Date: Thursday, August 25, 2016 at 4:13 PM
>>> To: Freesurfer support list <freesurfer@nmr.mgh.harvard.edu
>>> <mailto:freesurfer@nmr.mgh.harvard.edu>>
>>> Subject: Re: [Freesurfer] mri_glmfit-sim permutation testing running
>>> after 3 days!
>>>
>>> Hi Doug,
>>>     Thanks for the help!  I think I figured out the issue based on your
>>> response.
>>> 1) I created a template to use for this group and named it fsaverage
>>> (including creating monte carlo simulations) for simplicity of
>>> integrating with freesurfer as I am newer to it.  This is why the
>>> sizes didn't match up as you expected
>>>      but the mri_glmfit still ran.
>>>
>>> 2) I deleted the folder and restarted without background processes.
>>> The error became apparent.  Of my covariates (2 fix factors and 3
>>> quantitative), not all were orthogonal.  In looking at the error more,
>>> it seems that i need to add the
>>> --perm-force if I wanted the simulation to run, however the background
>>> processes were not aware of this error and kept polling as you
>>>mentioned.
>>>
>>> This brings me to a new but related issue.  From what I have read in
>>> other freesurfer posts, it is statistically incorrect to use
>>> --perm-force for non-orthogonal covariates (or continuous covariates).
>>> I am unsure how to proceed.
>>> a) If I ran permutation testing (to overcome the issue of incorrect
>>> smoothness estimations from the gaussian distribution assumption),
>>> then I run into the issue of non-orthogonal covariates.  Is there a
>>> way to orthogonalize the data in
>>>      freesurfer, or a solution to this issue?
>>>
>>> b) If orthogonalizing is difficult to implement, another option is
>>> running Qdec with the montecarlo simulation at a more conservative p
>>> value (p< 0.001).  From your previous posts, the testing at this p
>>> value for 10mm seems to meet the 5% FPR.  One question is if the
>>> non-orthogonal data affects this analysis as well for this model?
>>>
>>> Thanks,
>>> Ajay
>>>
>>> On Thu, Aug 25, 2016 at 12:18 PM, Ajay Kurani
>>> <dr.ajay.kur...@gmail.com <mailto:dr.ajay.kur...@gmail.com>> wrote:
>>>
>>>      Hi Freesurfer Experts,
>>>         I am trying to use freesurfer's mri_glmfit-sim tool to run
>>>      permutation testing on cortical thickness data (as recommended by
>>>      Doug in my previous post:
>>>
>>> 
>>>http://www.mail-archive.com/freesurfer%40nmr.mgh.harvard.edu/msg48653.ht
>>>ml
>>>
>>> 
>>><http://www.mail-archive.com/freesurfer%40nmr.mgh.harvard.edu/msg48653.h
>>>tm
>>> l>
>>>      )
>>>
>>>      Most of the tutorials I found were not related to permutation
>>>      testing so the subsequent steps may be incorrect.  Please let me
>>>      know where I go wrong...
>>>
>>>      1) I first ran QDec to generate a folder for the analysis which
>>>      would create the subsequent fsgd and y files needed my
>>>      mri_glmfit-sim.  I am running both left and right hemisphere
>>>      cortical thickness analysis with 10mm smoothing.  The following is
>>>      for just the left hemisphere.   Note I am doing a 3 group
>>>      comparison, but for this 2 group ttest I manually centered the
>>>      data based on the 3 group mean for age and education.
>>>
>>>      2) I ran the following command:
>>>      /mri_glmfit-sim --glmdir ./HCvsPAT_lh_thickness_10mm/ --sim perm
>>>      10000 2 perm.abs.2 --sim-sign abs --bg 16
>>>
>>>      Prior to running the command above, from the y.fsdg file I deleted
>>>      the fwhm estimate of 13mm since this was not correctly estimated
>>>      (ACF with long tails).  I assumed that by removing this estimate,
>>>      it would force the permutation test to calculate based on the data
>>>      but when looking at the log output I see the following which says
>>>      fwhm 0:
>>>
>>>      cmdline mri_glmfit.bin --C
>>>
>>> 
>>>./HCvsPAT_lh_thickness_10mm//tmp.mri_glmfit-sim-19468/lh-Avg-Intercept-t
>>>hi
>>> ckness.mtx
>>>      --C
>>>
>>> 
>>>./HCvsPAT_lh_thickness_10mm//tmp.mri_glmfit-sim-19468/lh-Diff-Male-Femal
>>>e-
>>> Intercept-thickness.mtx
>>>      --C
>>>
>>> 
>>>./HCvsPAT_lh_thickness_10mm//tmp.mri_glmfit-sim-19468/lh-Diff-PD-MCI-Int
>>>er
>>> cept-thickness.mtx
>>>      --C
>>>
>>> 
>>>./HCvsPAT_lh_thickness_10mm//tmp.mri_glmfit-sim-19468/lh-X-Gender-Group-
>>>In
>>> tercept-thickness.mtx
>>>      --sim perm 625 2 ./HCvsPAT_lh_thickness_10mm//csd/perm.abs.2.j013
>>>      --y
>>>
>>> 
>>>/home/akurani/Documents/PPMI/FS_Final/qdec/HCvsPAT_lh_thickness_10mm/y.m
>>>gh
>>>      --mask ./HCvsPAT_lh_thickness_10mm//mask.mgh --sim-sign abs --fwhm
>>>      0 --fsgd ./HCvsPAT_lh_thickness_10mm//y.fsgd dods --surf fsaverage
>>>      lh white --sim-done
>>>      ./HCvsPAT_lh_thickness_10mm//csd/poll/done.perm.abs.2.j013
>>>
>>>      3)I started this a few days ago on a 16 core machine and it is
>>>      still running in the terminal.  I have 150 subjects in the
>>>      analysis and specified 10000 iterations.  In the terminal I
>>>      assumed when I reach Poll 10000 it would be complete but currently
>>>      I am at : Poll 13341 job 1 Thu Aug 25 12:03:51 CDT 2016
>>>
>>>      Questions:
>>>      a) I am curious, is this going to run 10,000 simulations X 150
>>>      patients or does the Poll number not have anything to do with the
>>>      number of iterations it is on?
>>>
>>>
>>>      b) Did I run this procedure correctly? Was I incorrect in deleting
>>>      the fwhm estimate from y.fsgd file generated by Qdec even though
>>>      we know the estimate is incorrect since smoothness assumed a
>>>      gaussian distribution as opposed to gaussian with heavy tails
>>>
>>>      c) I noticed in the logfile the following warning:
>>>      INFO: gd2mtx_method is dods
>>>      Computing normalized matrix
>>>      Normalized matrix condition is 5.65727
>>>      Matrix condition is 935.597
>>>      Found 136777 voxels in mask
>>>      Reshaping mriglm->mask...
>>>      search space = 89675.729228
>>>      ERROR: design matrix is not orthogonal, cannot be used with
>>>      permutation.
>>>      If this something you really want to do, run with --perm-force
>>>      Poll 2 job 1 Tue Aug 23 22:58:18 CDT 2016
>>>
>>>      I am not sure if this means my simulation is incorrect?
>>>
>>>      Thanks,
>>>      Ajay
>>>
>>>
>>> 
>>>------------------------------------------------------------------------
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>> --
>> Douglas N. Greve, Ph.D.
>> MGH-NMR Center
>> gr...@nmr.mgh.harvard.edu
>> Phone Number: 617-724-2358
>> Fax: 617-726-7422
>>
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>> www.nmr.mgh.harvard.edu/facility/filedrop/index.html
>> Outgoing:ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/
>>
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>
>-- 
>Douglas N. Greve, Ph.D.
>MGH-NMR Center
>gr...@nmr.mgh.harvard.edu
>Phone Number: 617-724-2358
>Fax: 617-726-7422
>
>Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
>FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2
>www.nmr.mgh.harvard.edu/facility/filedrop/index.html
>Outgoing: ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/
>
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