On 11/29/2023 2:16 PM, Tejaswi D. Sudhakar wrote:
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Hi,
I would like to run a group analysis on 4 groups (patientM, patientF,
controlM, controlF) with 3 covariates (age, cogscore1, cogscore2).
I am running with dods - so I would have 16 total
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Hi,
I would like to run a group analysis on 4 groups (patientM, patientF, controlM,
controlF) with 3 covariates (age, cogscore1, cogscore2).
I am running with dods - so I would have 16 total regressors. How would I
create contrast matrices for
So you are trying to predict the neuropsych battery from brain
measurement? This is not how mri_glmfit is usually used, but it is just
a GLM so it is possible. You'd have to set up a table for the --table
input. You can try running asegstats2table to get an example table, then
you'd just set
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Hello,
I am working on a project using FreeSurfer, and I am trying to set up a
whole brain group analysis. However, I am not sure how to set up the FSDG
files, etc., as my dependent variable is not a cortical measurement. My
dependent variable is a
] Group Analysis - glmfit results
[*CAUTION:* Non-UBC Email]
Since this is longitudinal, I'm assuming that your contrast is
actually something like contrast C = (INT2-INT1)-(CON2-CON1) where 1
and 2 the the time points. As you suggest, both (INT2-INT1) and
(CON2-CON1) might both be less than 0
, 2022 12:45:22 PM
To: freesurfer@nmr.mgh.harvard.edu
Subject: Re: [Freesurfer] Group Analysis - glmfit results
[CAUTION: Non-UBC Email]
Since this is longitudinal, I'm assuming that your contrast is actually
something like contrast C = (INT2-INT1)-(CON2-CON1) where 1 and 2 the the time
points
Since this is longitudinal, I'm assuming that your contrast is actually
something like contrast C = (INT2-INT1)-(CON2-CON1) where 1 and 2 the
the time points. As you suggest, both (INT2-INT1) and (CON2-CON1) might
both be less than 0, but if INT is less negative than CON, then C will
be
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Hello Freesurfer Team,
I recently ran analysis to compare change in cortical thickness between an
Intervention and Control group longitudinally. The contrast is set up as
INT-CON, and therefore I would interpret a positive change as the intervention
yes, that is the correct interpretation
On 7/16/2022 1:00 PM, Boa Sorte Silva, Narlon wrote:
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Dear experts,
I am conducting a group analysis and wanted to confirm that the set up
below accurately addresses our research question. Thanks for your
help,
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Hi there,
Just following up on this
Thanks,
Nárlon Cássio
Nárlon Cássio Boa Sorte Silva PhD (He, Him, His)
CIHR and MSHR BC/PARF Postdoctoral Research Fellow
Aging, Mobility, and Cognitive Health Lab
Djavad Mowafaghian Centre for Brain Health
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Dear experts,
I am conducting a group analysis and wanted to confirm that the set up below
accurately addresses our research question. Thanks for your help, much
appreciated!
Background:
* We have two groups (intervention vs control) and two
Can you send the log file for the 2nd mris_preproc command?
On 2/8/2021 4:52 PM, Larissa Bechtle wrote:
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Hi everybody,
I ran the following commands which worked out fine for my Group Analysis.
Just like in the wiki-Tutorial available I focused on the
External Email - Use CautionHi everybody,
I ran the following commands which worked out fine for my Group Analysis.
Just like in the wiki-Tutorial available I focused on the thickness of my probands brains at first.
setenv FREESURFER_HOME /Applications/freesurfer
I think that contrast computes Female-Male regressing out Dx and age. If you
want HC vs MS, then use
-0.5 -0.5 0.5 0.5
On 12/29/2020 4:52 PM, Swanson,Clayton wrote:
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Hi Freesurfer Team,
I am performing an analysis on 23 HC and 26 people with MS and I would
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Hi Freesurfer Team,
I am performing an analysis on 23 HC and 26 people with MS and I would like to
perform the stats appropriately. I would like to control for (or regress out)
age and sex. Therefore, I created my FSGD file which has 4 classes
For starters, you need to have four classes, HC-Male, HC-Female, CMT-Male,
CMT-Female and not use gender as a variable. Try that. I would also normalize
the age and thickness
On 11/24/2020 12:04 PM, Ambulatorio SNA FEDERICO II wrote:
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Dear Freesurfer team,
arvard.edu>
<mailto:freesurfer@nmr.mgh.harvard.edu>
Subject: [Freesurfer] Group Analysis
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Hi Freesurfer experts,
I was looking to run the three steps of group analysis-mris preproc, mri
surf2surf using the measure volume and unsure of how to go about it si
Make sure that --meas volume was passed to mris_preproc was passed (this is
the usual way you would do this) in which case it makes a jacobian correction.
The only other thing to do would be to correct for intra-cranial volume. If you
have 7.X, you can just add --etiv to mris_preproc
On
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Dear Freesurfer team,
I'm running a group analysis where I'd like to compare myelination between
two groups regressing out cortical thickness, age and sex.
My FSGD file is:
GroupDescriptorFile 1
Title Func
Class HC
Class CMT
Variables Age gender
Just use --meas volume instead of --meas area
From: freesurfer-boun...@nmr.mgh.harvard.edu
on behalf of Sara Lyn
Sent: Thursday, November 19, 2020 12:41 PM
To: Freesurfer support list
Subject: Re: [Freesurfer] Group Analysis {Disarmed}
External Email
Sorry, meant to say instead of --meas thickness
From: Greve, Douglas N.,Ph.D.
Sent: Thursday, November 19, 2020 1:01 PM
To: Freesurfer support list
Subject: Re: [Freesurfer] Group Analysis {Disarmed}
Just use --meas volume instead of --meas area
..@nmr.mgh.harvard.edu> on behalf of Sara Lyn <
> saralyn...@gmail.com>
> *Sent:* Wednesday, November 18, 2020 6:37 PM
> *To:* freesurfer@nmr.mgh.harvard.edu
> *Subject:* [Freesurfer] Group Analysis
>
>
> External Email - Use Caution
>
> Hi Freesurfer expe
://surfer.nmr.mgh.harvard.edu/fswiki/asegstats2table?highlight=%28asegstats%29
Best,
Jocelyn
From: freesurfer-boun...@nmr.mgh.harvard.edu
on behalf of Sara Lyn
Sent: Wednesday, November 18, 2020 6:37 PM
To: freesurfer@nmr.mgh.harvard.edu
Subject: [Freesurfer] Group Analysis
External Email - Use Caution
Hi Freesurfer experts,
I was looking to run the three steps of group analysis-mris preproc, mri
surf2surf using the measure volume and unsure of how to go about it since
the wiki page talks about thickness only. I would appreciate any help.
Best,
Yes, that is all correct. I only have a few comments. One is that 15mm
is a lot of smoothing; this is not wrong, just more than the 5-10 that I
usually use. Second, you might want to use permutation instead of MCZ;
the threshold of 4 should make MCZ control the false positives
adequately, but
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Dear Freesurfer experts,
This is the first time I perform group analysis in Freesurfer. My aim is to
compare the cortical thickness in four groups matched in age, sex and years
of education using the Monte Carlo multiple comparisons correction. I
mailing list
> Freesurfer@nmr.mgh.harvard.edu
> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
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> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
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Typo
yhat = X(:,[1 2 3])*beta([1 2 3],:)
On 5/21/2020 2:12 PM, Hua, Jessica wrote:
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I apologize for resending all of this info, but my email is acting up
and every time I try to respond to the other email, my Outlook freezes.
Here is info from our
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I apologize for resending all of this info, but my email is acting up and every
time I try to respond to the other email, my Outlook freezes.
Here is info from our thread. I modified it to include the analysis in which I
found significant clusters
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Attached are the fsgd and Xg.dat files.
---
Jessica Hua, M.A.
Cognitive and Emotional Control Lab
Doctoral Candidate Clinical Psychology
University of Missouri
GroupComparison_AllMRI.AgeSexICV.fsgd
Description: GroupComparison_AllMRI.AgeSexICV.fsgd
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I was not sure how to modify the last line in your code in order to calculate
adjusted values accounting for age, sex, and ICV for each participant (this is
a three group design).
Your code:
There is not an easy way to do it, but you can do it in
And what is your new question?
On 5/17/20 12:10 PM, Hua, Jessica wrote:
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Sure, attached are the files again and here is our previous
correspondence:
Original question:
After running the permutation and finding significant clusters, I am
trying to
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Sure, attached are the files again and here is our previous correspondence:
Original question:
After running the permutation and finding significant clusters, I am trying to
calculate the value for each participant for these significant clusters.
Sorry, can you include previous correspondence so that I have context?
On 5/16/2020 1:55 PM, Hua, Jessica wrote:
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Sure, attached is the FSGD file. In case helpful, I have also attached
the Xg.dat file.
---
Jessica Hua, M.A.
Cognitive and Emotional
External Email - Use Caution
Sure, attached is the FSGD file. In case helpful, I have also attached the
Xg.dat file.
---
Jessica Hua, M.A.
Cognitive and Emotional Control Lab
Doctoral Candidate Clinical Psychology
University of Missouri
GroupComparison_AllMRI.AgeSexICV.fsgd
There is not an easy way to do it, but you can do it in matlab
cd glmdir
X = load('Xg.dat');
y = load('perm.th30.abs.y.ocn.dat');
beta = inv(X'*X)*X'*y;
yhat = X(:,[i j k ...]*beta([i j k ...])
where i j k ... indicate the factors you want keep in your data. Each
factor gets a column in the
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After running the permutation and finding significant clusters, I am trying to
calculate the value for each participant for these significant clusters.
The perm.th30.abs.y.ocn.dat contain the raw values, and I am trying to get the
adjusted values
That is how you would compute a partial model fit, though I'm not sure
which part of the model you are trying to fit. In what you have, it will
remove the main effect of group (but not interactions).
On 5/14/2020 1:30 PM, Hua, Jessica wrote:
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Hi
External Email - Use Caution
Hi FreeSurfer Experts,
I am trying to extract or calculate the adjusted values for each participant in
each cluster after accounting for covariates in my permutation analysis.
This is a 3 group analysis with 3 covariates (age, sex, and ICV).
e a version of mri_glmfit code without limits?
Thank you very much.
Xin
-Original Message-
From: Douglas N Greve [mailto:gr...@nmr.mgh.harvard.edu]
Sent: Monday, March 27, 2017 1:47 PM
To: freesurfer@nmr.mgh.harvard.edu
<mailto:freesurfer@nmr.mgh.harvard.edu>
Subject: Re: [Freesurfe
vard.edu]
Sent: Monday, March 27, 2017 1:47 PM
To: freesurfer@nmr.mgh.harvard.edu<mailto:freesurfer@nmr.mgh.harvard.edu>
Subject: Re: [Freesurfer] group analysis of large data sets
I don't think there is a maximum size. You would do the big analysis the same
way as the small.
On 03/26/20
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I meant the latter.
Thank you very much for responding to my questions.
I have one more question: Can we do non-parametric approaches by Freesurfer?
On Sat, Mar 14, 2020 at 2:13 AM Douglas N. Greve
wrote:
> Are you asking how to do subcortical
Are you asking how to do subcortical analysis or are you asking how to
account for subcortical analysis during correction for multiple
corrections? For the latter, use --3spaces
On 3/12/2020 2:03 PM, Hengameh Marzbani wrote:
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thank you for your detailed
External Email - Use Caution
thank you for your detailed and helpful explanation.
question 3: I mean just left and right. But what should I do if I want to
consider subcortical as well as left and right?
Best Regards
Hengameh
On Thu, Mar 12, 2020 at 12:07 AM Douglas N. Greve
On 3/11/2020 4:21 PM, Hengameh Marzbani wrote:
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Thank you for the quick response.
question 1: I need the results of mri-glmfit (before doing mri-glmfit-sim). I
can see the clusters by tksurfer. But, Can I have a text file included all
clusters?
You can,
External Email - Use Caution
Thank you for the quick response.
question 1: I need the results of mri-glmfit (before doing
mri-glmfit-sim). I can see the clusters by tksurfer. But, Can I have a
text file included all clusters?
question 3: I want to do the analyse by considering
It will NOT affect any of the other files
On 3/10/2020 10:46 AM, Miguel Ángel Rivas Fernández wrote:
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Dear freesurfer experts,
Before running group analysis in qdec is necessary run the qcache
command over all subjects but, does this command change some
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Dear freesurfer experts,
Before running group analysis in qdec is necessary run the qcache command
over all subjects but, does this command change some segmentation file (eg.
rh/lh Pial or white surface) or other importants file?
We would also like to
On 3/9/20 5:53 PM, Hengameh Marzbani wrote:
>
> External Email - Use Caution
>
> Hello Freesurfer developers,
> 1- I want to extract the uncorrected clusters from the uncorrected
> significance maps obtained from mri_glmfit for structural data (to illustrate
> cluster, size, location,
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Hello Freesurfer developers,
1- I want to extract the uncorrected clusters from the uncorrected
significance maps obtained from mri_glmfit for structural data (to
illustrate cluster, size, location, and significance) like
abs.sig.cluster.summary
What quantity do you want to compare across subjects/goggle condition?
Sorry for the delay, I have not worked much with the retinotopy code in
a while and don't have it at my fingertips
On 3/2/2020 9:08 AM, Marco Ninghetto wrote:
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Since that each subject
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Since that each subject undergoes to both conditions and functional images
are in 2 different folders, I modify my folder structure and put functional
folders together. It means that now I have a main functional folder
(pRFs_functionals) in which I
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Thanks for your support. Here my "mkanalysis-sess" command:
mkanalysis-sess -a rtopy.self.?h.ng -surface self ?h -paradigm rtopy.par
> -retinotopy 41 -TR 2.5 -fsd bold -fwhm 5 -per-run
I run this command for both no goggles condition
What quantity from the retinotopy analysis do you want to compare across
subjects? Eg, the phase? Can you send your mkanalysis-sess command?
On 2/28/2020 8:17 AM, Marco Ninghetto wrote:
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Dear experts,
I'm performing a study on visual pathways, in which
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Dear experts,
I'm performing a study on visual pathways, in which each participant
undergoes to 2 different conditions. One in normal sight (NG, i.e.: No
Goggles) and second in narrowed sight using special goggles (YG, i.e.: Yes
Goggles). I'd like to
When you say "gray matter volume", does it mean you are trying to do a
VBM-style analysis? You can't do VBM with FS. You can do an analysis of
cortical GM volume in a similar way. When you run mris_preproc, specify
"volume" as the --meas
On 12/12/19 12:58 PM, Marisa Cathryn Ross wrote:
>
>
On 3/4/19 10:11 AM, Hengameh Marzbani wrote:
>
> External Email - Use Caution
>
> Hi Freesurfers,
>
> I want to do group analysis on four groups and use the volume values
> in aseg,stats.
> 1- Is it correct that each subcortical segmentation is based on a
> "volumetric segmentation
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Hi Freesurfers,
I want to do group analysis on four groups and use the volume values in
aseg,stats.
1- Is it correct that each subcortical segmentation is based on a
"volumetric segmentation atlas" created by Freesurfer?
2- Are the volume values
sorry for the delay. There is not a super easy way to do this, but it is
possible in matlab. cd into the glmdir folder and start matlab, then
X = load('Xg.dat');
beta = MRIread('beta.mgh');
betamat = fast_vol2mat(beta);
yhatmat = X(:,[i j k m n])*betamat([i j k m n],:);
yhat = beta;
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Hi FreeSurfer experts,
Just bringing this question back up to the top: I analyzed my data following
the guidelines on the FreeSurfer Tutorial/Group Analysis page . I am trying to
plot the adjusted values (covariates: age, sex, and ICV) for the
The value in the ocn.dat file totally depends on what you used as input
(--y) to mri_glmfit. If you used thickness, then it is thickness. That
mri_segstats command is almost correct. You will need to add
--accumulate so that it gives you the total volume rather than the average
On 06/13/2018
On 06/11/2018 11:07 PM, Hua, Jessica wrote:
>
>
> Dear Freesurfer Experts:
>
>
> I analyzed my data following the guidelines on the FSL Tutorial/Group
> Analysis page . I am trying to plot the adjusted values (covariates:
> age, sex, and ICV) for the significant clusters for each of my
>
External Email - Use Caution
Dear Freesurfer Experts:
I analyzed my data following the guidelines on the FSL Tutorial/Group Analysis
page . I am trying to plot the adjusted values (covariates: age, sex, and ICV)
for the significant clusters for each of my participants.
I set
You need to put in age, weight, AND age*weight. If you have two classes
and use DODS, then the contrast would be
0 0 0 0 0 0 0.5 0.5
On 4/13/18 8:02 PM, David S Lee wrote:
Hi Douglas,
Thank you for your reply.
To follow up, I am setting up GLM analysis with 1 categorical variable
and 1
Hi Douglas,
Thank you for your reply.
To follow up, I am setting up GLM analysis with 1 categorical variable and
1 continuous variable (age X weight). My fsgd looks like this:
*GroupDescriptorFile 1*
*Title Cortical Thickness Interaction between Age and Weight*
*Class class1 plus blue*
*Class
If you want to test for an interaction between Age and Weight, you need
to create a new covariate which is Age*Weight, then test the sig of this
covariate. I would demean Age and Weight for both the inidvidual
covaraite and before computing the product.
On 04/12/2018 12:35 PM, David S Lee
Hi FreeSurfer Experts,
I have two groups (Male and Female) and two covariates (Age and Weight). I
want to test change of cortical thickness with age and weight, after
removing effects of Group. In other words, is there an interaction between
age and weight, regressing out the effects of groups.
Pass it with --mask, not --label
On 09/11/2017 09:42 PM, Xianwei Che wrote:
> Dear Doug,
>
> After some trial and error I am still not able to run group analysis
> in ROI manner.
>
> Here is my understanding: I need to define a label (mri_binarize ?) in
> which my ROIs should be labeled as 1
Dear Doug,
After some trial and error I am still not able to run group analysis in ROI
manner.
Here is my understanding: I need to define a label (mri_binarize ?) in
which my ROIs should be labeled as 1 with other regions being 0. Then I can
take this label to glm with --lable and then run
Dear Doug,
Thank you for the answer. I will try it out.
Regards
*-*
Mr Xianwei Che
PhD Candidate
Monash Alfred Psychiatry Research Centre (MAPrc)
Central Clinical School & the Alfred
Monash University
Level 4, 607 St Kilda Road, Melbourne 3004, Australia
On 12 September 2017 at
On 09/10/2017 04:02 AM, Xianwei Che wrote:
> Dear experts,
>
> I am going to run a group analysis on thickness but limit the results
> to certain regions, say prefrontal cortex. l did find this thread but
> failed to make it work on my data
>
Dear experts,
I am going to run a group analysis on thickness but limit the results to
certain regions, say prefrontal cortex. l did find this thread but failed
to make it work on my data (
https://www.mail-archive.com/freesurfer@nmr.mgh.harvard.edu/msg48693.html).
I know I could extract the
e these the maximum? The mri_glmfit is written in C. Could you send me a
> version of mri_glmfit code without limits?
> Thank you very much.
>
> Xin
>
> -Original Message-
> From: Douglas N Greve [mailto:gr...@nmr.mgh.harvard.edu]
> Sent: Monday, March 27, 2017 1:47 PM
age-
From: Douglas N Greve [mailto:gr...@nmr.mgh.harvard.edu]
Sent: Monday, March 27, 2017 1:47 PM
To: freesurfer@nmr.mgh.harvard.edu
Subject: Re: [Freesurfer] group analysis of large data sets
I don't think there is a maximum size. You would do the big analysis the same
way as the small.
On
I don't think there is a maximum size. You would do the big analysis the
same way as the small.
On 03/26/2017 07:54 PM, Wang, Xin wrote:
>
> Hello, FreeSurfer Group,
>
> What is the maximal matrix size for glm_fit process?
>
> How to use FreeSurfer for group analyses of more than 2000 subjects,
Hello, FreeSurfer Group,
What is the maximal matrix size for glm_fit process?
How to use FreeSurfer for group analyses of more than 2000 subjects, 128
variables, and 128 Classes?
Thank you.
Xin
___
Freesurfer mailing list
Hello Bruce,
Thank you so much.
I will try later.
Xiuyi
On 2 March 2017 at 17:11, Douglas N Greve wrote:
> Click the button that says to show the annotation in outline (since you
> could not load it in outline mode
>
>
> On 03/02/2017 11:50 AM, Xiuyi Wang wrote:
>
when you say it stops, you mean it crashes and returns control to the
command line? Or that the GUI stays up but is unresponsive?
On 03/02/2017 11:29 AM, Xiuyi Wang wrote:
> Hello Bruce,
>
> The program stops after displaying this message.
>
> So I guess your solution is to use FreeSurfer 6 and
Hello Bruce,
Thank you for your reply.
I have tried to delete “:annot_outline=1: before and the command lines are:
freeview -f $SUBJECTS_DIR/fsaverage/surf/lh.inflated:annot=aparc.annot:o
verlay=lh.gender_age.glmdir/lh-Avg-thickness-age-Cor/sig.mgh:overlay_threshold=4,5
-viewport 3d
But I
Hello Bruce,
The program stops after displaying this message.
So I guess your solution is to use FreeSurfer 6 and I am not able to view
the data using FreeSurfer 5.3.
Thanks.
Xiuyi
On 2 March 2017 at 16:26, Douglas N Greve wrote:
> That is not an error, the
That is not an error, the program should have run normally after that.
This has been fixed in v6.
On 03/02/2017 11:23 AM, Xiuyi Wang wrote:
> Hello Bruce,
>
> Thank you for your reply.
>
> I have tried to delete “:annot_outline=1: before andthe command lines are:
>
> freeview -f
>
You can use that command, just remove annot_outline=1:
On 03/02/2017 07:18 AM, Xiuyi Wang wrote:
> Hi,
>
> I am learning Group Analysis using FreeSurfer 5.3 on Linux system.
>
> I followed the detailed instruction on the tutorial website.
>
>
Hi,
I am learning Group Analysis using FreeSurfer 5.3 on Linux system.
I followed the detailed instruction on the tutorial website.
https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/GroupAnalysis
These are the commands that I typed:
freeview
The outline only works on 6.0
On 2/10/17 11:57 AM, Xiuyi Wang wrote:
Hi,
I am learning GroupAnalysis using FreeSurfer 5.3 on Linux system.
I followed the detailed instruction on the tutorial website.
https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/GroupAnalysis
Hi,
I am learning GroupAnalysis using FreeSurfer 5.3 on Linux system.
I followed the detailed instruction on the tutorial website.
https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/GroupAnalysis
But I got an error message when running this command to visualize
uncorrected significance
Check out the group analysis tutorial
https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/GroupAnalysis
On 10/26/16 7:11 AM, Dev vasu wrote:
Dear Freesurfer Group,
I would like to perform group analysis for 50 Subjects (25 healthy
controls and 25 Subjects with BLVP ) and examine the
Dear Freesurfer Group,
I would like to perform group analysis for 50 Subjects (25 healthy controls
and 25 Subjects with BLVP ) and examine the changes in cortical thickness
between 2 groups, could you please kindly inform me some methods that i
should adapt to perform the analysis.
Thanks
Dear Freesurfer users
I am trying to examine differences between 3 groups in surface thickness and
volume over three time periods (pre-intervention, post-intervention, and
6-month followup). Previously, when only the first 2 time points were
available, I followed the instructions for paired
Both contrasts are right. You might want to change the value from 0.5 to
1/6, but that won't affect the actual p-values (only the gamma values).
The 2nd contrast is correct, but it maybe difficult to interpret if the
first contrast has an effect. Technically, you should verify that there
is
Dear Douglas and Trisanna,
Thank you very much for your explanations.
I just would like to be sure of what I am doing since there is no example
on the wiki as complex as mine.
If I have the following classes :
Diagnosis : Patient or Control
Gender : Male or Female
Site : Site1 or Site2 or
This is a straightforward extension to the FSGD examples. You have 3
discrete factors (2 diagnosis, 2 gender, 6 centers), this yields
2*2*6=24 classes. With one covariate, you would have 24 covariate
regressors (one for each class) for a total of 48. You would then need
to create a contrast
there is a tutorial with similar variables available here
https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/GroupAnalysis
Trisanna
--
Ph.D. Candidate
McGill University
Integrated Program in Neuroscience
Psychology
On Wed, Oct 5, 2016 at 9:22 AM, charles laidi
Dear FreeSurfers,
I would like to study the interaction between age and cortical thickness in
patients and controls.
My hypothesis is that there is an interaction and that cortical thickness
is decreasing faster with age in patients than in controls.
I have both Male and Female included in 6
i_glmfit-sim after mri_mcsim.
correct
> Best,
> Paul
>
> Sent from my BlackBerry 10 smartphone.
>Original Message
> From: Douglas N Greve
> Sent: Friday, August 5, 2016 11:49 AM
> To: freesurfer@nmr.mgh.harvard.edu
> Reply To: Freesurfer support list
> Subjec
: Friday, August 5, 2016 11:49 AM
To: freesurfer@nmr.mgh.harvard.edu
Reply To: Freesurfer support list
Subject: Re: [Freesurfer] group analysis/ region of interest (ROI) approach
There are several things that need to be changed as I've indicated below
On 08/01/2016 10:09 PM, miracle ozzoude wrote
There are several things that need to be changed as I've indicated below
On 08/01/2016 10:09 PM, miracle ozzoude wrote:
> Thanks doug. Also, Please can you verify if this are the right codes
> for performing ROI surface based analysis using the command line. I
> tried to reverse the whole brain
Thanks doug. Also, Please can you verify if this are the right codes for
performing ROI surface based analysis using the command line. I tried to
reverse the whole brain analysis tutorial with some of the previous threads
i read. I'm trying to mask the entorhinal and MT and then perform ROI on
I think there is an example on the wiki in the ROI analysis section. See
http://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/AnatomicalROI
After you run aparcstats2table, you can run mri_glmfit with --table
aparcstatstable instead of --y. The output folder will have tables with
lists of ROIs
Hey FreeSurfer experts,
Does anyone know the steps i have to perform if I want to conduct surface
based thickness analysis using GLM but with ROI approach. Thank you very
much.
Best,
Paul
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