Dear experts,

Could anyone please help me ? My group has small size (7 subjects) with non
equally spaced different timepoints (from 2 up to 4).

Best regards,

Matthieu
Le 30 sept. 2015 13:57, "Matthieu Vanhoutte" <matthieuvanhou...@gmail.com>
a écrit :

> Hi Martin,
>
> Thank you for helping !
>
> 1) What should I use for the parameter estimation: "mass univariate" or Novel
> mass-univariate tools (spatiotemporal models)" ?
>
> 2) I have one group of subjects with different timepoints (non equally
> spaced and different numbers of timepoints), and would like to see the
> significant change of FA according to time. Will LME study allow me to get
> this change and how to define contrast to assess it ? Are the results of
> this longitudinal study directionals, i.e. is it possible to establish an
> increase or decrease of FA in significant regions according to time ?
>
> 3) Should the covariates (age, gender...) be demeaned or centered ?
>
> 4) Has the accurate time variable to be in years absolutely or could it
> be also in days ?
>
>
> Best regards,
>
> Matthieu
>
>
> 2015-09-29 17:11 GMT+02:00 Martin Reuter <mreu...@nmr.mgh.harvard.edu>:
>
>> Hi Matthieu,
>>
>> use lme_mass_fit_vw and the y is a simple vector. I would mask the image
>> before doing this and only pass the brain voxels (to increase speed and
>> reduce comparisons).
>>
>> Best, Martin
>>
>>
>> On 09/29/2015 10:43 AM, Matthieu Vanhoutte wrote:
>>
>> Hi Martin,
>>
>> I understand for the multiple comparisons problem. But if I consider a
>> voxel-by-voxel analysis just as hippocampal volume (lme_fit_FS for
>> estimation), how could I consider a correction for multiple comparisons in
>> this univariate case ?
>>
>> Shouldn't I use the lme_mass_fit or lme_mass_fit_vw functions in my mass
>> univariate case ? If yes, how do I have to format my 3D FA volume as input
>> of the LME toolbox ?
>>
>> Best regards,
>>
>> Matthieu
>>
>> -------------------------------------
>> Matthieu Vanhoutte, MSc
>> Research Engineer - Department of Neuroradiology
>> Regional University Hospital, Lille, France
>>
>> 2015-09-29 16:34 GMT+02:00 Martin Reuter <mreu...@nmr.mgh.harvard.edu>:
>>
>>> Hi Matthieu,
>>>
>>> yes, multiple comparisons are a problem for any mass univariate
>>> approach. You can use the FDR2 correction (in the lme matlab tools) which
>>> is less conservative than standard FDR. You can also work in specific ROI's
>>> and average there, to reduce the number of comparisons.
>>>
>>> Best, Martin
>>>
>>>
>>> On 09/29/2015 09:11 AM, Matthieu Vanhoutte wrote:
>>>
>>> Hi Martin,
>>>
>>> Thank you for your answer.
>>>
>>> However, I would like to consider FA maps as a mass-univariate problem
>>> and not a univariate voxel-by-voxel as hippocampal volume. Indeed, my
>>> voxels aren't independant, are they ? So, how to correct for multiple
>>> comparisons then ?
>>>
>>> Best regards,
>>>
>>> Matthieu
>>>
>>> 2015-09-29 15:04 GMT+02:00 Martin Reuter <mreu...@nmr.mgh.harvard.edu>:
>>>
>>>> Hi Matthieu,
>>>>
>>>> if all your images are perfectly registered, you can do LME on a
>>>> voxel-by-voxel basis, just as if you had hippocampal volume or any other
>>>> ROI measure.
>>>>
>>>> Best, Martin
>>>>
>>>>
>>>> On 09/29/2015 06:46 AM, Matthieu Vanhoutte wrote:
>>>>
>>>> Dear experts,
>>>>
>>>> I would like to know if it is possible to make a longitudinal study
>>>> with LME toolbox from volume FA maps registered in a common space ?
>>>>
>>>> I don't have T1 images so the recon-all process couldn't be processed.
>>>> But if I put my 3D FA volume of dim = [nx,ny,nz] in a 1D nx*ny*nz voxels
>>>> format, could it be in good way for LME ?
>>>>
>>>> Thanks for helping !
>>>>
>>>> Best regards,
>>>>
>>>> Matthieu
>>>>
>>>>
>>>> _______________________________________________
>>>> Freesurfer mailing 
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>>>>
>>>>
>>>> --
>>>> Martin Reuter, PhD
>>>> Assistant Professor of Radiology, Harvard Medical School
>>>> Assistant Professor of Neurology, Harvard Medical School
>>>> A.A.Martinos Center for Biomedical Imaging
>>>> Massachusetts General Hospital
>>>> Research Affiliate, CSAIL, MIT
>>>> Phone: +1-617-724-5652
>>>> Web  : http://reuter.mit.edu
>>>>
>>>>
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>>>
>>>
>>> _______________________________________________
>>> Freesurfer mailing 
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>>>
>>>
>>> --
>>> Martin Reuter, PhD
>>> Assistant Professor of Radiology, Harvard Medical School
>>> Assistant Professor of Neurology, Harvard Medical School
>>> A.A.Martinos Center for Biomedical Imaging
>>> Massachusetts General Hospital
>>> Research Affiliate, CSAIL, MIT
>>> Phone: +1-617-724-5652
>>> Web  : http://reuter.mit.edu
>>>
>>>
>>> _______________________________________________
>>> Freesurfer mailing list
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>>>
>>> The information in this e-mail is intended only for the person to whom
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>>
>>
>> _______________________________________________
>> Freesurfer mailing 
>> listfreesur...@nmr.mgh.harvard.eduhttps://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
>>
>>
>> --
>> Martin Reuter, PhD
>> Assistant Professor of Radiology, Harvard Medical School
>> Assistant Professor of Neurology, Harvard Medical School
>> A.A.Martinos Center for Biomedical Imaging
>> Massachusetts General Hospital
>> Research Affiliate, CSAIL, MIT
>> Phone: +1-617-724-5652
>> Web  : http://reuter.mit.edu
>>
>>
>> _______________________________________________
>> Freesurfer mailing list
>> Freesurfer@nmr.mgh.harvard.edu
>> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
>>
>>
>> The information in this e-mail is intended only for the person to whom it
>> is
>> addressed. If you believe this e-mail was sent to you in error and the
>> e-mail
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>> HelpLine at
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>
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