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Hi Victor,
this file is apparently included in the NeuroStats/lme repository on GitHub (in
the ‚geodesic‘ folder’), so getting the toolbox from there might be worth a try.
Not sure why it is not included with Freesurfer.
Best,
Kersten
Am
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Dear Freesurfer experts,I'm using the LME model for longitudinal study
and I'm running the part of parameter estimation but MATLAB "told me"
than the file "libgeodesic.so" is not available or does not exist. So
check in FreeSurfer' folder and it's not
ich has -1 and +1 at the appropriate
columns, and zeros otherwise.
Best regards,
Kersten
> Thanks!
>
> Best regards,
> Guodong
>
> >
> >
> > --
> >
> > Date: Tue, 5 Nov 2019 09:48:06 +
> > From: "D
t; From: "Diers, Kersten /DZNE"
> Subject: Re: [Freesurfer] LME model contrast matrix (Diers, Kersten
> /DZNE)
> To: "freesurfer@nmr.mgh.harvard.edu"
> Message-ID: <1572947286.4016.34.ca...@dzne.de>
> Content-Type: text/plain; charset="utf-8"
&
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> >
> > Dear experts:
> > I am trying to run preproc-sess -s sess01 -fsd bold -stc up
> > -surface fsaverage lhrh -mni305 -fwhm 5 -per-run
> > But the outcome is ERROR: no run directories found.
> >
> > What could b
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> -- next part --
> An HTML att
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Hi Guodong,
On Di, 2019-10-22 at 16:05 +0800, Liu Guodong wrote:
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>
> Hello FreeSurfer Developers,
>
> I'm doing the LME tutorial, and I have some questions .
>
> 1. Why don’t we need to put the healthy
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Hello FreeSurfer Developers,
I'm doing the LME tutorial, and I have some questions .
1. Why don’t we need to put the healthy controls in the designed matrix X?
2. What’s the interpretation of the first row of the contrast matrix [1 0 0 0
0], does
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Hi Donatas,
please find my thoughts in-line.
Best regards,
Kersten
On So, 2018-05-27 at 11:59 +0200, Donatas Sederevicius wrote:
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>
> Dear Freesurfer experts,
>
> I have some doubts while running LME
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Dear Freesurfer experts,
I have some doubts while running LME analysis on longitudinal data. The main
goal is to check whether longitudinal BMI scores have any impact on the
longitudinal cortical thickness changes. The model I’m thinking of is as
...@nmr.mgh.harvard.edu] On Behalf Of Donatas Sederevicius
[donatas.sederevic...@psykologi.uio.no]
Sent: Thursday, September 07, 2017 12:19 PM
To: freesurfer@nmr.mgh.harvard.edu
Subject: [Freesurfer] LME model and contrast
Dear freesurfer team,
I’m trying to use freesurfer LME tools to check whether
Dear freesurfer team,
I’m trying to use freesurfer LME tools to check whether baseline BMI scores
(BMI scores at the first timepoint) have a statistically significant
effect/impact on longitudinal thickness changes accounting for baseline age and
gender. The model I’m thinking of is:
Y_ij =
Thanks,
what I mean is in order to quantify a treatment effect for the subjects
that received treatment at T0, you would need another scan before that
(Tminus1). You would need three time points:
group1: baseline, placebo, treatment
group2: baseline, treatment, placebo
you could then test
Hi Martin
Thank you very much for your response! To clarify the design: There are 44
subjects, all have been scanned twice and thus have repeated measures of
cortical thickness. 22 subjects were first (T0) scanned 2 hours after a placebo
treatment. Some days later, the identical subjects
Hi Martina,
so you don't have a baseline (no treatment) measurement? If you have a
treatment at T0, you mean during an interval before T0, right? But since
you did not scan before that treatment, you cannot quantify that change?
The design is not clear to me.
About the random effect (with
Dear FreeSurfer experts
I have one question regarding my data analysis and would be extremely thankful
for any advice!
My data-set is as follows: I have repeated measures (time point 0 (T0), time
point 1 (T1)) of several subjects. All individuals underwent an intervention at
one of the
Thanks a lot Jorge, that's a big help.
On 12 December 2013 23:54, jorge luis jbernal0...@yahoo.es wrote:
Hi Sean
An important issue in the LME model concerns the centering of the times
of measurement. It changes the interpretation of both the mean response and
the variance of the random
Hi Sean
An
important issue in the LME model concerns the centering of the times
of measurement. It changes the interpretation
of both the mean response and the variance of the random effects.
If tij represents time since baseline then the subject-specific intercept
coefficient ß1+b1i
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