mris_preproc might work. You could also use mri_concat (mris_preproc is 
a front end for mri_concat)

On 03/03/2015 06:19 PM, Janosch Linkersdörfer wrote:
>
> Am 03.03.2015 um 14:42 schrieb Douglas N Greve <gr...@nmr.mgh.harvard.edu>:
>
>> Some of this Martin will have to comment on, but my comments below
>>
>> On 03/03/2015 12:35 PM, Janosch Linkersdörfer wrote:
>>> Hey Doug,
>>>
>>> thanks again! That means, I would do something like:
>>>
>>> 1.) construct longitudinal qdec table
>>> - only use fsid, fsid-base, and years/age columns
>>> - substract the average age of the one-time point subjects from years/age 
>>> value for every subject at every time point
>>>
>>> 2.) run long_mris_slopes
>>> - use the --do-avg flag?
>> Yes, I think so
>>> 3.) concatenate the output files from 2) and the maps from the one-time 
>>> point subjects with mris_preproc
>>> - use --is flag to select maps by specifying full path
>> What command are you talking about to do the concatenation?
> mris_preproc, I thought.
>
> Thanks for your help,
>
> Janosch
>
>> Otherwise sounds right. Make sure you use the average of the time points 
>> from long_mris_slopes and not the slope.
>>> 4.) run mri_glmfit
>>> - use --osgm flag for one-sample group mean
>> Yes
>>> 5.) replace sig.mgz file with the one from LME analysis and run 
>>> mri_glmfit-sim
>> Yes
>>> Is that correct? (especially, is using --do-avg what you meant by taking 
>>> the offset)
>>>
>>> Thanks,
>>>
>>> Janosch
>>>
>>>
>>> Am 03.03.2015 um 08:32 schrieb Douglas N Greve <gr...@nmr.mgh.harvard.edu>:
>>>
>>>> I don't know, esp since it is an approximation to begin with. An 
>>>> alternative is to take the offsets from your multi-time-point subjects and 
>>>> the single maps from your subjects with one time point and run that 
>>>> through the one-sample-group-mean (--osgm in mri_glmfit). If you go this 
>>>> route, then you should subtract the mean age of the one time-point 
>>>> subjects from the age of the multi-time point subjects before the 1st 
>>>> stage of analysis.
>>>>
>>>> doug
>>>>
>>>>
>>>> On 03/02/2015 07:25 PM, Janosch Linkersdörfer wrote:
>>>>> Hi Doug,
>>>>>
>>>>> thank you very much for your answer!
>>>>>
>>>>> Am 02.03.2015 um 11:30 schrieb Douglas N Greve 
>>>>> <gr...@nmr.mgh.harvard.edu>:
>>>>>
>>>>>> You would do the long analysis using a random effects analysis.
>>>>> OK, so basically do 2-stage modeling 
>>>>> (https://surfer.nmr.mgh.harvard.edu/fswiki/LongitudinalTwoStageModel), 
>>>>> right?
>>>>>
>>>>>> For each subject you can get a slope (this won't work if the subject 
>>>>>> only has 1 time point), then concatenate the slopes into a file and run 
>>>>>> mri_glmfit, then follow the procedures from the archive email you 
>>>>>> reference.
>>>>> One quarter of my subjects only has one measurement time point. Can I 
>>>>> still use this method (which would only consider the 3/4 of the subjects) 
>>>>> to correct clusters found in the whole group? Or would it only be valid 
>>>>> for correcting clusters from an LME model for the reduced group?
>>>>>
>>>>> Thanks,
>>>>>
>>>>> Janosch
>>>>>
>>>>>> doug
>>>>>>
>>>>>> On 02/24/2015 08:35 PM, Janosch Linkersdörfer wrote:
>>>>>>> Hi Doug and others,
>>>>>>>
>>>>>>> I would like apply (Monte Carlo simulation) cluster correction (as 
>>>>>>> opposed to the implemented vertex-wise FDR correction) on the results 
>>>>>>> from a longitudinal study I analyzed using the LME toolbox. The design 
>>>>>>> is unbalanced (different number of time points, from 1 to 4, per 
>>>>>>> subject).
>>>>>>>
>>>>>>> In this thread 
>>>>>>> (http://www.mail-archive.com/freesurfer%40nmr.mgh.harvard.edu/msg35367.html)
>>>>>>>  you, Doug, suggested, if I understand correctly:
>>>>>>>
>>>>>>> - concatenating the images using `mris_preproc --paired-diff`
>>>>>>> - smooth with the same kernel size as used in the lme analysis
>>>>>>> - running `mri_glmfit` on them with an fsgd file that uses the same 
>>>>>>> covariates and the same contrast (excluding the interaction term with 
>>>>>>> time) as used in the lme analysis
>>>>>>> - overwriting sig.mgh with the one from the lme analysis
>>>>>>> - running `mri_glmfit-sim --cache`
>>>>>>>
>>>>>>> How would I extend this to my case where I don't have pairwise images, 
>>>>>>> but 1 image for some participants, for others up to 4?
>>>>>>>
>>>>>>> Thanks a lot,
>>>>>>>
>>>>>>> Janosch
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>> -- 
>>>>>> 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/
>>>>>>
>>>>>>
>>>>>>
>>>>>> The information in this e-mail is intended only for the person to whom 
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>>>>>> contains patient information, please contact the Partners Compliance 
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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/
>>>>
>>>
>> -- 
>> 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/
>>
>
>

-- 
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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