[Freesurfer] Building your own fsaverage

2017-06-26 Thread Silas
Dear FreeSurfer team,


I'm making a surface based group analysis of 40 multiple sclerosis subjects 
using FreeSurfer tools.


What are the advantages of building your own fsaverage (make_average_subject) 
instead of using the premade fsaverage? Would you in general recommend this? 
What is the pro's and con's of building your own fsaverage?


All the best,

Silas


I searched the mailing stream and found this answer:

'make_average_subject script, but as Doug implies you probably don't need to. 
Our warp is
high-enough dimensional that you rarely need to build average subjects from
your own population'

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[Freesurfer] Structural analysis

2017-01-04 Thread Silas

Dear FreeSurfer team,


Repost: Please let me know if the answers are too obvious or the questions are 
inappropriate for this forum!


I'm currently doing a structural FS analysis with 50 Multiple Sclerosis (MS) 
patients and 25 Healthy Controls (HC). FLAIR-lesions were drawn onto the 
aseg.mgz as White Matter Hypointensities (=77). I've finished the analysis, but 
have some questions regarding my results.


Results:


HC (n=25)


MS (n=50)


p-value


Mean TIV (SD) [ml]


1594.9 (154.7)


1559.5 (140.1)


> 0.05


Mean WMV (SD) [ml]


503.6 (57.3)


485.2 (59.5)


> 0.05


Mean GMV (SD) [ml]


657.2 (69.9)


635.1 (47.9)


> 0.05


Mean WMHV (SD) [ml]


1.12 (0.4)


5.97 (5.7)


0.677



1) Does these results look trustworthy/reliable? WMV < GMV?

2) What is the difference between WMV+GMV and TIV? CSF? Ventricles?

3) I find no atrophy in the MS patients? Do you have an idea why? If not, don't 
answer this.

4) What is White Matter Hypointensities comprised of in HC?

5) What is the best estimate of total white matter volume?


Best, Silas
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[Freesurfer] Structural analysis

2016-12-20 Thread Silas
Dear FreeSurfer team,


I'm currently doing a structural FS analysis with 50 Multiple Sclerosis (MS) 
patients and 25 Healthy Controls (HC). FLAIR-lesions were drawn onto the 
aseg.mgz as White Matter Hypointensities (=77). I've finished the analysis, but 
have some questions regarding my results.


Results:


HC (n=25)


MS (n=50)


p-value


Mean TIV (SD) [ml]


1594.9 (154.7)


1559.5 (140.1)


> 0.05


Mean WMV (SD) [ml]


503.6 (57.3)


485.2 (59.5)


> 0.05


Mean GMV (SD) [ml]


657.2 (69.9)


635.1 (47.9)


> 0.05


Mean WMHV (SD) [ml]


1.12 (0.4)


5.97 (5.7)


0.677



1) Does these results look correct? WMV < GMV?

2) What is the difference between WMV+GMV and TIV? CSF? Ventricles?

3) I find no atrophy in the MS patients; are there reported any problems with 
FS and MS patients?

4) What is White Matter Hypointensities comprised of in HC?


Best, Silas
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Re: [Freesurfer] I receive an error when running recon-all with T1 and lesions from FLAIR

2016-08-25 Thread Silas
Thanks again Douglas! Your time and help is greatly appreciated!


Best, Silas



From: freesurfer-boun...@nmr.mgh.harvard.edu 
<freesurfer-boun...@nmr.mgh.harvard.edu> on behalf of Douglas N Greve 
<gr...@nmr.mgh.harvard.edu>
Sent: Thursday, August 25, 2016 4:19 PM
To: freesurfer@nmr.mgh.harvard.edu
Subject: Re: [Freesurfer] I receive an error when running recon-all with T1 and 
lesions from FLAIR

MRIwrite() writes out the image as a float, whereas FS insists that it
be UCHAR or INT. To get this, run

mri_convert aseg.mgz -odt int --no_scale 1 aseg.mgz

View aseg.mgz to make sure it looks right, then rerun recon-all
-autorecon2-cp -autorecon3


On 08/24/2016 05:51 PM, Silas wrote:
>
> Dear FreeSurfer team,
>
>
> I'm doing a structural analysis with 50 MS patients and 50 healthy
> controls (T1, T2 and FLAIR). The MS patients have multiple lesions
> mainly in white matter. My co-worker did manual editing (bullet
> points) in the FLAIR images, and i would like to use these edits when
> running recon-all in order to avoid further manual editing.
>
>
> _Steps in analysis:_
>
>
> 1) First steps of recon-all:
>
> recon-all -autorecon1 -autorecon2
>
>
> 2) Reslicing the FLAIR images:
>
> The aseg.auto.mgz (256x256x256) didn't have the same size as the
> FLAIR (resliced to 1mm, co-registered in MNI-space and with manually
> drawn binary lesion masks (218x182x182)). I overcome this problem by
> reslicing the FLAIR images using aseg.auto.nii as the image defining
> space. This was done in SPM8, and prior to this the aseg.auto.mgz was
> converted to a .nii using mri_convert.
>
>
> 3) Insert lesions from the resliced FLAIR images to aseg.mgz:
>
> aseg = MRIread('aseg.auto.mgz'); % FreeSurfer aseg
>
> manlesion = MRIread('manlesion.nii.gz'); % Manual lesion, whatever
> format, but should be binary
>
> ind = find( (aseg.vol == 2 | aseg.vol == 41) & manlesion.vol ~= 0);
>
> newaseg = aseg;
>
> newaseg.vol(ind) = 77;
>
> MRIwrite(newaseg,'aseg.mgz'); % This will overwrite the aseg.mgz, so
> make a backup
>
>
> 4) The last steps of recon-all:
>
> recon- all -autorecon2-cp -autorecon3
>
> When running the following command i get this error:
>
> /depot64/freesurfer/freesurfer.5.3.0/bin/recon-all -s 01MS
> -autorecon2-cp -autorecon3 subjid 01MS
>
> 
>
>
> '#@# Intensity Normalization2 Mon Aug  DATE
> /.../subjects_FLAIR/01MS/mri
>
>  mri_normalize -aseg aseg.mgz -mask brainmask.mgz norm.mgz brain.mgz
>
> using segmentation for initial intensity normalization
> using MR volume brainmask.mgz to mask input volume...
> reading from norm.mgz...
> Reading aseg aseg.mgz
> normalizing image...
> processing with aseg
> removing outliers in the aseg WM...
> 5361 control points removed
> Building bias image
> mriMarkUnmarkedNeighbors: all inputs must be MRI_UCHAR or MRI_INT
> building Voronoi diagram...
> Numerical argument out of domain
> Linux big28 3.13.0-66-generic #108-Ubuntu SMP Wed Oct 7 15:20:27 UTC
> 2015 x86_64 x86_64 x86_64 GNU/Linux
>
> recon-all -s 01MS exited with ERRORS at Mon Aug  8 15:31:32 CEST 2016
>
> *The lesions looks alright (as if they are in the right place). Do you
> have any suggestions what to do if they are not? And what could be the
> problem if they are placed correctly?*
>
> *What is the advantage of starting by running autorecon-1 and 2 and
> then inserting the lesions from the FLAIR?*
>
>
> Thanks a lot for all your help!
>
>
> Best, Silas
>
>
>
>
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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
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[Freesurfer] I receive an error when running recon-all with T1 and lesions from FLAIR

2016-08-24 Thread Silas
Dear FreeSurfer team,


I'm doing a structural analysis with 50 MS patients and 50 healthy controls 
(T1, T2 and FLAIR). The MS patients have multiple lesions mainly in white 
matter. My co-worker did manual editing (bullet points) in the FLAIR images, 
and i would like to use these edits when running recon-all in order to avoid 
further manual editing.


Steps in analysis:


1) First steps of recon-all:

recon-all -autorecon1 -autorecon2


2) Reslicing the FLAIR images:

The aseg.auto.mgz (256x256x256) didn't have the same size as the FLAIR 
(resliced to 1mm, co-registered in MNI-space and with manually drawn binary 
lesion masks (218x182x182)). I overcome this problem by reslicing the FLAIR 
images using aseg.auto.nii as the image defining space. This was done in SPM8, 
and prior to this the aseg.auto.mgz was converted to a .nii using mri_convert.


3) Insert lesions from the resliced FLAIR images to aseg.mgz:

aseg = MRIread('aseg.auto.mgz'); % FreeSurfer aseg

manlesion = MRIread('manlesion.nii.gz'); % Manual lesion, whatever format, but 
should be binary

ind = find( (aseg.vol == 2 | aseg.vol == 41) & manlesion.vol ~= 0);

newaseg = aseg;

newaseg.vol(ind) = 77;

MRIwrite(newaseg,'aseg.mgz'); % This will overwrite the aseg.mgz, so make a 
backup


4) The last steps of recon-all:

recon- all -autorecon2-cp -autorecon3

When running the following command i get this error:

/depot64/freesurfer/freesurfer.5.3.0/bin/recon-all -s 01MS -autorecon2-cp 
-autorecon3 subjid 01MS





'#@# Intensity Normalization2 Mon Aug  DATE
/.../subjects_FLAIR/01MS/mri

 mri_normalize -aseg aseg.mgz -mask brainmask.mgz norm.mgz brain.mgz

using segmentation for initial intensity normalization
using MR volume brainmask.mgz to mask input volume...
reading from norm.mgz...
Reading aseg aseg.mgz
normalizing image...
processing with aseg
removing outliers in the aseg WM...
5361 control points removed
Building bias image
mriMarkUnmarkedNeighbors: all inputs must be MRI_UCHAR or MRI_INT
building Voronoi diagram...
Numerical argument out of domain
Linux big28 3.13.0-66-generic #108-Ubuntu SMP Wed Oct 7 15:20:27 UTC 2015 
x86_64 x86_64 x86_64 GNU/Linux

recon-all -s 01MS exited with ERRORS at Mon Aug  8 15:31:32 CEST 2016


The lesions looks alright (as if they are in the right place). Do you have any 
suggestions what to do if they are not? And what could be the problem if they 
are placed correctly?

What is the advantage of starting by running autorecon-1 and 2 and then 
inserting the lesions from the FLAIR?


Thanks a lot for all your help!


Best, Silas

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contains patient information, please contact the Partners Compliance HelpLine at
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[Freesurfer] Structural group analysis

2016-08-22 Thread Silas
Dear FreeSurfer team,


I'm doing a structural analysis with around 20 subjects and I'm specifically 
interested in the areas premotor cortex and primary motor cortex. By matlab 
analysis I've found a very strong statistical significant difference in the 
cortical thickness when comparing these two areas with all subjects (data 
extracted from FreeSurfer recon-all pipeline). I would like to visualize these 
results on the surface of fsaverage, and I'm familiar with the FreeSurfer group 
analysis pipeline. So far I've simply made a OSGM group analysis and visualized 
these results on the fsaverage in a premade label of premotor cortex and 
primary motor cortex and correlated for multiple comparisons using your 
precomputed monte carlo simulation - but this doesn't make it.


Do you guys have a clever way to visualize these results in FreeSurfer? I have 
one group and would like to visualize the difference between two areas. I've 
thought about presenting each subject two times in the FSGD-file (primary motor 
cortex and premotor cortex), but this isn't possible and seems as a clumsy way 
to solve this problem.


Please let me know if my problem is incomprehensible!


Best, Silas
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Re: [Freesurfer] Fw: Running recon-all with T1 and FLAIR

2016-08-21 Thread Silas
Hi Douglas,


It seems that the lesions are in the right place. Do you have other suggestions?


I just want to make sure; when you wrote: ind = find( (aseg.vol == 2 | aseg.vol 
== 41) & manlesion.vol != 0); -> you meant: ind = find( (aseg.vol == 2 | 
aseg.vol == 41) & manlesion.vol ~= 0);


Best, Silas


From: freesurfer-boun...@nmr.mgh.harvard.edu 
<freesurfer-boun...@nmr.mgh.harvard.edu> on behalf of Douglas N Greve 
<gr...@nmr.mgh.harvard.edu>
Sent: Wednesday, August 10, 2016 11:56 PM
To: freesurfer@nmr.mgh.harvard.edu
Subject: Re: [Freesurfer] Fw: Running recon-all with T1 and FLAIR

did you look at the aseg.mgz to see if the lesions were in the right place?

On 08/10/2016 03:28 AM, Silas wrote:
>
> Thank you very much for your help Douglas!
>
>
> I had a few problems running these commands.
>
> 1) recon-all -autorecon1 -autorecon2 -> no problems
>
>
> 2) The matlab script
>
> The aseg.auto.mgz (256x256x256) didn't have the same size as the FLAIR
> (resliced to 1mm, co-registered in MNI-space and with manually drawn
> binary lesion masks (218x182x182)). I overcome this problem by
> reslicing the FLAIR image and using aseg.auto.nii as the image
> defining space. This was done in SPM8, and prior to this the
> aseg.auto.mgz was converted to a .nii using mri_convert.
>
> This seemed to solve the problem!
>
>
> 3) recon- all -autorecon2-cp -autorecon3
>
> When running the following command i get this error:
>
> /depot64/freesurfer/freesurfer.5.3.0/bin/recon-all -s 01MS
> -autorecon2-cp -autorecon3 subjid 01MS
>
> 
>
>
> '#@# Intensity Normalization2 Mon Aug  DATE
> /.../subjects_FLAIR/01MS/mri
>
>  mri_normalize -aseg aseg.mgz -mask brainmask.mgz norm.mgz brain.mgz
>
> using segmentation for initial intensity normalization
> using MR volume brainmask.mgz to mask input volume...
> reading from norm.mgz...
> Reading aseg aseg.mgz
> normalizing image...
> processing with aseg
> removing outliers in the aseg WM...
> 5361 control points removed
> Building bias image
> mriMarkUnmarkedNeighbors: all inputs must be MRI_UCHAR or MRI_INT
> building Voronoi diagram...
> Numerical argument out of domain
> Linux big28 3.13.0-66-generic #108-Ubuntu SMP Wed Oct 7 15:20:27 UTC
> 2015 x86_64 x86_64 x86_64 GNU/Linux
>
> recon-all -s 01MS exited with ERRORS at Mon Aug  8 15:31:32 CEST 2016
>
> To report a problem, see
> http://surfer.nmr.mgh.harvard.edu/fswiki/BugReporting'
BugReporting - Free Surfer 
Wiki<http://surfer.nmr.mgh.harvard.edu/fswiki/BugReporting>
surfer.nmr.mgh.harvard.edu
top. Bug Reporting. Submitting a request for help . When submitting a request 
for help with your problems please be aware that the developers will try and 
repeat your ...



>
> *How can i solve this problem?*
>
>
> Best, Silas
>
>
>
> 
> *From:* freesurfer-boun...@nmr.mgh.harvard.edu
> <freesurfer-boun...@nmr.mgh.harvard.edu> on behalf of Douglas Greve
> <gr...@nmr.mgh.harvard.edu>
> *Sent:* Tuesday, August 2, 2016 4:06 AM
> *To:* freesurfer@nmr.mgh.harvard.edu
> *Subject:* Re: [Freesurfer] Fw: Running recon-all with T1 and FLAIR
>
> That recon-all command will not work as the FLAIR input should be a
> simple FLAIR image. The FLAIR will only correct the pial surface and
> will have nothing to do with lesion segmentation. Emily Lindermer has
> a tool that can take a T1 and FLAIR and produce a lesion map; but
> given that you already have manual segmentations, maybe that is not so
> helpful. One thing you can do is to edit the aseg.mgz to insert your
> lesions. First run recon-all with -autorecon1 -autorecon2 instead of
> -all. Then, in matlab,
>
>
> aseg = MRIread('aseg.auto.mgz'); % FreeSurfer aseg
>
> manlesion = MRIread('manlesion.nii.gz'); % Manual lesion, whatever
> format, but should be binary
>
> ind = find( (aseg.vol == 2 | aseg.vol == 41) & manlesion.vol != 0);
>
> newaseg = aseg;
>
> newaseg.vol(ind) = 77;
>
> MRIwrite(newaseg,'aseg.mgz'); % This will overwrite the aseg.mgz, so
> make a backup
>
>
> Then run recon-all with -autorecon2-cp -autorecon3
>
>
>
> On 8/1/16 7:35 AM, Silas wrote:
>>
>>
>> Dear FreeSurfer team,
>>
>>
>> I'm doing a structural analysis with 50 MS patients and 50 healthy
>> controls (T1, T2 and FLAIR). The MS patients have multiple lesions
>> mainly in white matter. My co-worker did manual editing (bullet
>> points) in the FLAIR images, and i would like to use these edits when
>> running recon-all in order to avoid further manual editing.
>>
>>
>> The data i'm working 

Re: [Freesurfer] Fw: Running recon-all with T1 and FLAIR

2016-08-10 Thread Silas
Thank you very much for your help Douglas!


I had a few problems running these commands.

1) recon-all -autorecon1 -autorecon2 -> no problems


2) The matlab script

The aseg.auto.mgz (256x256x256) didn't have the same size as the FLAIR 
(resliced to 1mm, co-registered in MNI-space and with manually drawn binary 
lesion masks (218x182x182)). I overcome this problem by reslicing the FLAIR 
image and using aseg.auto.nii as the image defining space. This was done in 
SPM8, and prior to this the aseg.auto.mgz was converted to a .nii using 
mri_convert.

This seemed to solve the problem!


3) recon- all -autorecon2-cp -autorecon3

When running the following command i get this error:

/depot64/freesurfer/freesurfer.5.3.0/bin/recon-all -s 01MS -autorecon2-cp 
-autorecon3 subjid 01MS





'#@# Intensity Normalization2 Mon Aug  DATE
/.../subjects_FLAIR/01MS/mri

 mri_normalize -aseg aseg.mgz -mask brainmask.mgz norm.mgz brain.mgz

using segmentation for initial intensity normalization
using MR volume brainmask.mgz to mask input volume...
reading from norm.mgz...
Reading aseg aseg.mgz
normalizing image...
processing with aseg
removing outliers in the aseg WM...
5361 control points removed
Building bias image
mriMarkUnmarkedNeighbors: all inputs must be MRI_UCHAR or MRI_INT
building Voronoi diagram...
Numerical argument out of domain
Linux big28 3.13.0-66-generic #108-Ubuntu SMP Wed Oct 7 15:20:27 UTC 2015 
x86_64 x86_64 x86_64 GNU/Linux

recon-all -s 01MS exited with ERRORS at Mon Aug  8 15:31:32 CEST 2016

To report a problem, see http://surfer.nmr.mgh.harvard.edu/fswiki/BugReporting'


How can i solve this problem?


Best, Silas



From: freesurfer-boun...@nmr.mgh.harvard.edu 
<freesurfer-boun...@nmr.mgh.harvard.edu> on behalf of Douglas Greve 
<gr...@nmr.mgh.harvard.edu>
Sent: Tuesday, August 2, 2016 4:06 AM
To: freesurfer@nmr.mgh.harvard.edu
Subject: Re: [Freesurfer] Fw: Running recon-all with T1 and FLAIR


That recon-all command will not work as the FLAIR input should be a simple 
FLAIR image. The FLAIR will only correct the pial surface and will have nothing 
to do with lesion segmentation. Emily Lindermer has a tool that can take a T1 
and FLAIR and produce a lesion map; but given that you already have manual 
segmentations, maybe that is not so helpful. One thing you can do is to edit 
the aseg.mgz to insert your lesions. First run recon-all with -autorecon1 
-autorecon2 instead of -all. Then, in matlab,


aseg = MRIread('aseg.auto.mgz'); % FreeSurfer aseg

manlesion = MRIread('manlesion.nii.gz'); % Manual lesion, whatever format, but 
should be binary

ind = find( (aseg.vol == 2 | aseg.vol == 41) & manlesion.vol != 0);

newaseg = aseg;

newaseg.vol(ind) = 77;

MRIwrite(newaseg,'aseg.mgz'); % This will overwrite the aseg.mgz, so make a 
backup

Then run recon-all with -autorecon2-cp -autorecon3



On 8/1/16 7:35 AM, Silas wrote:


Dear FreeSurfer team,


I'm doing a structural analysis with 50 MS patients and 50 healthy controls 
(T1, T2 and FLAIR). The MS patients have multiple lesions mainly in white 
matter. My co-worker did manual editing (bullet points) in the FLAIR images, 
and i would like to use these edits when running recon-all in order to avoid 
further manual editing.


The data i'm working with is already resliced to 1 mm and co-registered in 
MNI-space.

1) Can i use this data or would it be preferable to use the original T1's?


My thought was to run the following command:

recon-all -subject subjectname -i /path/to/input_volume -FLAIR 
/path/to/FLAIR_volume_with_edits -FLAIRpial -all

2) Does this look correct? Is there anything i should be aware of? -> update: 
Does this command only improve the pial surface? How can i also improve the 
white mater segmentation (white) using FLAIR corrections?

3) Does it make a difference running recon-all -all with the FLAIR image - 
compared to running recon-all -autorecon3 with the FLAIR after running 
recon-all -all with only the T1?

4) I've also thought about using the lesion segmentation toolbox for SPM and 
completely avoid manual editing - is this preferable to using the FLAIR with 
manual editing?

5) How is the general strength of analysing corpus callosum structurally in MS 
patients using FreeSurfer?


Best, Silas



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[Freesurfer] Fw: Running recon-all with T1 and FLAIR

2016-08-01 Thread Silas

Dear FreeSurfer team,


I'm doing a structural analysis with 50 MS patients and 50 healthy controls 
(T1, T2 and FLAIR). The MS patients have multiple lesions mainly in white 
matter. My co-worker did manual editing (bullet points) in the FLAIR images, 
and i would like to use these edits when running recon-all in order to avoid 
further manual editing.


The data i'm working with is already resliced to 1 mm and co-registered in 
MNI-space.

1) Can i use this data or would it be preferable to use the original T1's?


My thought was to run the following command:

recon-all -subject subjectname -i /path/to/input_volume -FLAIR 
/path/to/FLAIR_volume_with_edits -FLAIRpial -all

2) Does this look correct? Is there anything i should be aware of? -> update: 
Does this command only improve the pial surface? How can i also improve the 
white mater segmentation (white) using FLAIR corrections?

3) Does it make a difference running recon-all -all with the FLAIR image - 
compared to running recon-all -autorecon3 with the FLAIR after running 
recon-all -all with only the T1?

4) I've also thought about using the lesion segmentation toolbox for SPM and 
completely avoid manual editing - is this preferable to using the FLAIR with 
manual editing?

5) How is the general strength of analysing corpus callosum structurally in MS 
patients using FreeSurfer?


Best, Silas
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[Freesurfer] Running recon-all with T1 and FLAIR

2016-07-30 Thread Silas
Dear FreeSurfer team,


I'm doing a structural analysis with 50 MS patients and 50 healthy controls 
(T1, T2 and FLAIR). The MS patients have multiple lesions mainly in white 
matter. My co-worker did manual editing (bullet points) in the FLAIR images, 
and i would like to use these edits when running recon-all in order to avoid 
further manual editing.


The data i'm working with is already resliced to 1 mm and co-registered in 
MNI-space.

1) Can i use this data or would it be preferable to use the original T1's?


My thought was to run the following command:

recon-all -subject subjectname -i /path/to/input_volume -FLAIR 
/path/to/FLAIR_volume_with_edits -FLAIRpial -all

2) Does this look correct? Is there anything i should be aware of?

3) Does it make a difference running recon-all -all with the FLAIR image - 
compared to running recon-all -autorecon3 with the FLAIR after running 
recon-all -all with only the T1?

4) I've also thought about using the lesion segmentation toolbox for SPM and 
completely avoid manual editing - is this preferable to using the FLAIR with 
manual editing?

5) How is the general strength of analysing corpus callosum structurally in MS 
patients using FreeSurfer?


Best, Silas
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Re: [Freesurfer] How to find the difference between to different fMRI datasets?

2016-03-04 Thread Silas
Thanks Douglas!

1 - I have two functional files per subject (.mgh). Is it possible to insert 
two files per subject in mris_preproc? In my former functional analysis I 
haven't concatenated my data using a FSGD-file when running mris_preproc. 

2 - Can you calculate the difference between two functional data sets (on the 
fsaverage) before starting the group analysis stream? E.g. by subtracting the 
files?

Best, Silas 


From: freesurfer-boun...@nmr.mgh.harvard.edu 
<freesurfer-boun...@nmr.mgh.harvard.edu> on behalf of Douglas N Greve 
<gr...@nmr.mgh.harvard.edu>
Sent: Thursday, March 3, 2016 6:19 PM
To: freesurfer@nmr.mgh.harvard.edu
Subject: Re: [Freesurfer] How to find the difference between to different fMRI 
datasets?

Create a contrast between the two conditions

On 03/01/2016 01:27 AM, Silas wrote:
>
> Dear FreeSurfer team,
>
>
> Thank you for all your help so far!
>
>
> I would like to visualize the difference between two fMRI data sets.
>
> Data set1: Cortical activation during movement of a finger.
>
> Data set2: Cortical activation during movement of a finger different
> from the first finger.
>
>
> How can i perform this operation?
>
>
> Best, Silas
>
>
>
> ___
> Freesurfer mailing list
> Freesurfer@nmr.mgh.harvard.edu
> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer

--
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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[Freesurfer] How to find the difference between to different fMRI datasets?

2016-02-29 Thread Silas
Dear FreeSurfer team,


Thank you for all your help so far!


I would like to visualize the difference between two fMRI data sets.

Data set1: Cortical activation during movement of a finger.

Data set2: Cortical activation during movement of a finger different from the 
first finger.


How can i perform this operation?


Best, Silas
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Re: [Freesurfer] FreeSurfer group analysis: mri_glmfit-sim

2016-02-23 Thread Silas
Dear FS team,


I followed the BuildYourOwnMonteCarlo guide and received an error running 
mri_glmfit-sim. This might be a simple problem but I have troubles finding the 
flaw. Hopefully you can help me out.


Commands:

% step 1: If not done already - create the label:
mri_annotation2label --subject fsaverage --hemi rh --outdir labeldir

% step 2: mri_mcsim using my own label on the fsaverage surface:
mri_mcsim --o .../S1M1_GroupAnalysis/S1M1 --base mc-z --save-iter  --surf 
fsaverage rh --nreps 1 --label .../S1M1_GroupAnalysis/S1M1.label


% step 3: mri_glmfit investigating the correlation between an AUC value and 
t1t2ratio
mri_glmfit --y rh.t1t2ratio_fmed_3sm_decurv.fsavg.5.mgh --fsgd AUC.fsgd --surf 
fsaverage rh --C intercept.mtx --C slope.mtx --label S1M1.label --o 
t1t2vsAUC_S1M1.5.glmdir

% step 4: mris_glmfit-sim
mri_glmfit-sim --glmdir t1t2vsAUC_S1M1.5.glmdir --cache-dir 
.../S1M1_GroupAnalysis/S1M1  --cache 2 pos --cwp 0.05


Error:

ERROR: cannot find 
.../S1M1_GroupAnalysis/S1M1/fsaverage/rh/cortex/fwhm09/pos/th20/mc-z.csd

Question:

Is there any obvious flaws in my commands?
In the guide I'm suggested to place my results into $FREESURFER_HOME/... is 
this a necessity?
How does mri_glmfit-sim recognizes that I'm investigating the label S1M1 and 
not cortex?
Could i simply just copy-paste my results from mri_mcsim into 
.../S1M1_GroupAnalysis/S1M1/fsaverage/rh/cortex/ ?

Best, Silas


From: freesurfer-boun...@nmr.mgh.harvard.edu 
<freesurfer-boun...@nmr.mgh.harvard.edu> on behalf of Douglas Greve 
<gr...@nmr.mgh.harvard.edu>
Sent: Monday, February 8, 2016 4:35 AM
To: freesurfer@nmr.mgh.harvard.edu
Subject: Re: [Freesurfer] FreeSurfer group analysis: mri_glmfit-sim



On 2/7/16 1:34 PM, Silas wrote:

Dear FS team,


I'm currently making a group analysis using the "command-line" group analysis 
stream in freesurfer.

https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/GroupAnalysisDng

[https://surfer.nmr.mgh.harvard.edu/wiki/fswiki_htdocs/common/fslogosmall.png]<https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/GroupAnalysisDng>

FsTutorial/GroupAnalysisDng - Free Surfer 
Wiki<https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/GroupAnalysisDng>
surfer.nmr.mgh.harvard.edu
Introduction. This tutorial is designed to introduce you to the "command-line" 
group analysis stream in FreeSurfer (as opposed to QDEC which is GUI-driven), 
including ...



1) I would like to do a surface based analysis where i'm only investigating a 
certain area or label - instead of doing a whole brain analysis. This can be 
done by introducing --label surface_area_of_interest.label when running 
mri_glmfit. Would this (in theory) give me different results from doing a whole 
brain analysis - or would it just exclude the results from outside the label?

No. However, if your activation is near the boundary of the ROI, then you may 
want to constrain the spatial smoothing to be within the ROI.

And how about after clusterwise correction for multiple comparisons?

If your new ROI is much smaller than whole hemisphere, then you will need to 
generate new correction tables (otherwise it won't help to constrain it to an 
ROI). To do this, see 
https://surfer.nmr.mgh.harvard.edu/fswiki/BuildYourOwnMonteCarlo

-> is there a better way to do this than following the command-line group 
analysis stream in freesurfer?

No


2) When running mri_glmfit-sim i'm investigating the output ending with 
-voxel.mgh - how do i interpret the results of this file? When investigating 
the file in freeview what is the meaning of the units when configuring the 
overlay?

This is the voxel-wise correction for multiple comparisons. The value of the 
voxel (and overlay config units) are -log10(p), where p is the p-value 
corrected for multiple comparisons. So p=.01 means 2.


Best, Silas



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[Freesurfer] FreeSurfer group analysis: mri_glmfit-sim

2016-02-07 Thread Silas
Dear FS team,


I'm currently making a group analysis using the "command-line" group analysis 
stream in freesurfer.

https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/GroupAnalysisDng

[https://surfer.nmr.mgh.harvard.edu/wiki/fswiki_htdocs/common/fslogosmall.png]<https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/GroupAnalysisDng>

FsTutorial/GroupAnalysisDng - Free Surfer 
Wiki<https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/GroupAnalysisDng>
surfer.nmr.mgh.harvard.edu
Introduction. This tutorial is designed to introduce you to the "command-line" 
group analysis stream in FreeSurfer (as opposed to QDEC which is GUI-driven), 
including ...



1) I would like to do a surface based analysis where i'm only investigating a 
certain area or label - instead of doing a whole brain analysis. This can be 
done by introducing --label surface_area_of_interest.label when running 
mri_glmfit. Would this (in theory) give me different results from doing a whole 
brain analysis - or would it just exclude the results from outside the label? 
And how about after clusterwise correction for multiple comparisons?

-> is there a better way to do this than following the command-line group 
analysis stream in freesurfer?


2) When running mri_glmfit-sim i'm investigating the output ending with 
-voxel.mgh - how do i interpret the results of this file? When investigating 
the file in freeview what is the meaning of the units when configuring the 
overlay?


Best, Silas
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contains patient information, please contact the Partners Compliance HelpLine at
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dispose of the e-mail.


[Freesurfer] Fw: FreeSurfer group analysis: mri_glmfit-sim

2016-02-06 Thread Silas

Dear FS team,


I'm currently making a group analysis using the "command-line" group analysis 
stream in freesurfer.

https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/GroupAnalysisDng

[https://surfer.nmr.mgh.harvard.edu/wiki/fswiki_htdocs/common/fslogosmall.png]<https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/GroupAnalysisDng>

FsTutorial/GroupAnalysisDng - Free Surfer 
Wiki<https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/GroupAnalysisDng>
surfer.nmr.mgh.harvard.edu
Introduction. This tutorial is designed to introduce you to the "command-line" 
group analysis stream in FreeSurfer (as opposed to QDEC which is GUI-driven), 
including ...



1) I would like to do a surface based analysis where i'm only investigating a 
certain area or label - instead of doing a whole brain analysis. This can be 
done by introducing --label surface_area_of_interest.label when running 
mri_glmfit. Would this (in theory) give me different results from doing a whole 
brain analysis - or would it just exclude the results from outside the label? 
And how about after clusterwise correction for multiple comparisons?

-> is there a better way to do this than following the command-line group 
analysis stream in freesurfer?


2) When running mri_glmfit-sim i'm investigating the output ending with 
-voxel.mgh - how do i interpret the results of this file? When investigating 
the file in freeview what is the meaning of the units when configuring the 
overlay?


Best, Silas
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[Freesurfer] FreeSurfer group analysis: mri_glmfit-sim

2016-02-05 Thread Silas
Dear FS team,


I'm currently making a group analysis using the "command-line" group analysis 
stream in freesurfer.

https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/GroupAnalysisDng

[https://surfer.nmr.mgh.harvard.edu/wiki/fswiki_htdocs/common/fslogosmall.png]<https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/GroupAnalysisDng>

FsTutorial/GroupAnalysisDng - Free Surfer 
Wiki<https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/GroupAnalysisDng>
surfer.nmr.mgh.harvard.edu
Introduction. This tutorial is designed to introduce you to the "command-line" 
group analysis stream in FreeSurfer (as opposed to QDEC which is GUI-driven), 
including ...



1) I would like to do a surface based analysis where i'm only investigating a 
certain area or label - instead of doing a whole brain analysis. This can be 
done by introducing --label surface_area_of_interest.label when running 
mri_glmfit. Would this give me different results from doing a whole brain 
analysis - or would it just exclude the results from outside the label? And how 
about after clusterwise correction for multiple comparisons?

-> is there a better way to do this than following the command-line group 
analysis stream in freesurfer?


2) When running mri_glmfit-sim i'm investigating the output ending with 
-voxel.mgh - how do i interpret the results of this file? When investigating 
the file in freeview what is the meaning of the units when configuring the 
overlay?


Best, Silas
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[Freesurfer] Multimodality analysis in FreeSurfer

2015-11-17 Thread Silas
Dear Freesurfer team,


I've scanned a group of subjects and gained structural and myelination data. 
Then, I've used mris_preproc to map the data onto the surface of fsaverage (and 
concatenating the data). I would like to investigate the correlation between 
cortical thickness and myelination by mapping this correlation onto the 
fsaverage (an one sample group mean analysis) - is this possible? Do you have 
an existing guide approaching this problem?


Thank you!


Best, Silas
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Re: [Freesurfer] Multimodality analysis in FreeSurfer

2015-11-17 Thread Silas

I've mapped cortical thickness and the myelination data onto the fsaverage, and 
also used general linear modelling to investigate the one sample group mean of 
myelination data og cortical thickness (not very useful since the mean 
thickness or myelination should never be 0) data separately. 
I would like to map the correlation between cortical thickness and myelination 
onto the fsaverage. I've investigated this statistical correlation by a vertex 
wise correlation study in matlab, and it should be possible to map this onto 
the fsaverage. Though, I would like to perform this correlation study entirely 
in FreeSurfer - in this way I would easily be able to correlate for multiple 
comparisons using the standardized pipeline for FreeSurfer group analysis.

Best, Silas


From: freesurfer-boun...@nmr.mgh.harvard.edu 
<freesurfer-boun...@nmr.mgh.harvard.edu> on behalf of Douglas N Greve 
<gr...@nmr.mgh.harvard.edu>
Sent: Tuesday, November 17, 2015 7:10 PM
To: freesurfer@nmr.mgh.harvard.edu
Subject: Re: [Freesurfer] Multimodality analysis in FreeSurfer

I'm not sure what you mean. You say that you have mapped the thickness
and myelin data into fsaverage space but then need to map the
correlation into fsaverage. Isn't it already there?

On 11/17/2015 10:33 AM, Silas wrote:
>
> Dear Freesurfer team,
>
>
> I've scanned a group of subjects and gained structural and myelination
> data. Then, I've used mris_preproc to map the data onto the surface of
> fsaverage (and concatenating the data). I would like to investigate
> the correlation between cortical thickness and myelination by mapping
> this correlation onto the fsaverage (an one sample group mean
> analysis) - is this possible? Do you have an existing guide
> approaching this problem?
>
>
> Thank you!
>
>
> Best, Silas
>
>
>
> ___
> Freesurfer mailing list
> Freesurfer@nmr.mgh.harvard.edu
> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer

--
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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[Freesurfer] Smoothing of functional data mapped onto the fsaverage surface

2015-09-08 Thread Silas
Dear Freesurfer,
1) I would like to investigate the possible outcomes of my functional group 
analysis after smoothing with 5 FWHM and 10 FWHM. My functional data is already 
mapped onto the fsaverage. Which command would you suggest for smoothing this 
data?
2) In the functional group analysis tutorial there is a input to mri_glmfit 
called --wls cesvar.nii.gz which is the variance of each session at each voxel. 
How do i get this file? And what is the importance of doing this de-weighting 
of sessions with a high variance?
Thanks!
Best, Silas   ___
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[Freesurfer] mris_preproc -iv option

2015-08-13 Thread Silas
Dear Freesurfer team,
How does mris_preproc map volume data onto the surface when using the -iv 
option? Is an average between the white and pial boundaries taken, or are only 
the voxels taken into account that intersect with one of the two surfaces (and 
if yes, with which surface)?
mris_preproc--iv volmeasfileSpecify full path to a volume file and its 
registration matrix file. The registration matrix file is of the type 
accepted/created by tkregister2. The volume is sampled to the surface, and the 
result is used as the input surface measure. This is an alternative to using 
--meas. This still requires that a subject list be supplied.
Thanks again!
Best, Silas   ___
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[Freesurfer] Creating proper FSGD file

2015-08-12 Thread Silas
Hi Freesurfer team,
I'm currently working on a functional group analysis using GLM (i've mapped my 
data onto the fsaverage). My problem is that I have more than one functional 
*.mgh file per subject, and i have troubles creating a proper FSGD file where 
i'm presenting each subject several times (btw i'm using mri_glmfit).
1) The solution to this problem might be to average (or sum) the *.mgh files of 
each subject and implement this average file in the FSGD. Which command is able 
to do this?2) Another solution to this problem is to present the subjects 
several times in the FSGD file or presenting several functional *.mgh files per 
subject in the FSGD file. Is this possible? 
I've tried to use mris_preproc to concatenate the files and presenting the 
output files in mri_glmfit - but this does not seem to be the solution since 
mris_preproc only concatenates the files.
Thank you for your help,
Best, Silas   ___
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Re: [Freesurfer] How to deal with labels and structural data

2015-07-22 Thread Silas
Hi Bruce,
I would like to make a ROI analysis where i'll investigate cortical thickness 
of the labels - and afterwards use the labels to make a ROI analysis of fMRI 
data and t1t2ratio data which is mapped onto the fsaverage (I've already made 
an analysis on the surface). My question is how to investigate e.g. cortical 
thickness of the labels. What command do i use? Do i have to run recon-all 
again with the new label (and if, which steps of recon-all is necessary to 
re-run?)? 
Thanks!
Best, Silas

 Date: Tue, 21 Jul 2015 10:53:02 -0400
 From: fis...@nmr.mgh.harvard.edu
 To: freesurfer@nmr.mgh.harvard.edu
 Subject: Re: [Freesurfer] How to deal with labels and structural data
 
 Hi Silas
 
 what do you want to do with the labels? As for whether to do it on 
 fsaverage or individuals, you could start with fsaverage and map it to 
 your other subjects and see how accurate it looks
 
 cheers
 Bruce
 On Tue, 21 Jul 2015, Silas 
 wrote:
 
  Dear Freesurfer team,
  I've created my own labels using tksurfer and common anatomical guidelines -
  and my next step is to apply these labels to my subjects and analyze (ROI)
  cortical thickness or volume (first of all), functional data and myelination
  data.
  1 - Do you suggest drawing a label on the surface of fsaverage and applying
  this label to the other subjects (e.g. using mri_label2label) - or drawing a
  label on each subjects surface?
  2 - What is my next step? Do i have to run recon-all again with my new label
  in the labels folder - or should i experiment with mri_label2vol and
  mri_label2annot?
  3 - Do you have an existing guide in this kind of analysis?
  
  Thanks! Best, Silas
  
 
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[Freesurfer] How to deal with labels and structural data

2015-07-21 Thread Silas
Dear Freesurfer team,
I've created my own labels using tksurfer and common anatomical guidelines - 
and my next step is to apply these labels to my subjects and analyze (ROI) 
cortical thickness or volume (first of all), functional data and myelination 
data.1 - Do you suggest drawing a label on the surface of fsaverage and 
applying this label to the other subjects (e.g. using mri_label2label) - or 
drawing a label on each subjects surface?2 - What is my next step? Do i have to 
run recon-all again with my new label in the labels folder - or should i 
experiment with mri_label2vol and mri_label2annot?3 - Do you have an existing 
guide in this kind of analysis?
Thanks! Best, Silas   ___
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Re: [Freesurfer] FW: FW: Functional group analysis

2015-06-29 Thread Silas
Hi Bruce,
I will. Thanks!
Best, Silas

Date: Sun, 28 Jun 2015 13:20:30 -0400
From: fis...@nmr.mgh.harvard.edu
To: freesurfer@nmr.mgh.harvard.edu
Subject: Re: [Freesurfer] FW:  FW: Functional group analysis

Hi Silas
 
Doug (who normally answers this kind of question) is on vacation. Can you 
repost in a few days?
 
cheers
Bruce
On Sun, 28 Jun 2015, Silas wrote:
 
 Dear all,
 Can anyone help me with this question?
 
 Best, Silas
 
 
 From: silasniel...@hotmail.com
 To: freesurfer@nmr.mgh.harvard.edu
 Date: Wed, 24 Jun 2015 11:35:28 +0200
 Subject: [Freesurfer] FW: Functional group analysis
 
 Dear FreeSurfer team,
 I'm working on a functional analysis using FreeSurfer. I've already
 preprocessed my fMRI data and now I would like to analyze this data using
 mri_glmfit. My input is the prepared beta estimates for the fmri data
 (regression coefficients) and two groups (with activated regions for
 different muscles in the hand; musculus abductor digiti minimi vs first
 dorsal interossei). I do not want to smooth my data.
 
 Which command/step do you suggest in order to implement this data into
 mri_glm?
 
 I've experimented with mris_preproc and the creation of a FSGD-file in the
 structural analysis in order to implement my data in the GLM.
 
 Best, Silas
 
 
 From: silasniel...@hotmail.com
 To: freesurfer@nmr.mgh.harvard.edu
 Subject: Functional group analysis
 Date: Fri, 19 Jun 2015 14:26:20 +0200
 
 Dear FreeSurfer team,
 I'm currently doing a functional group analysis using FreeSurfer by
 following yourtutorial: 
 https://surfer.nmr.mgh.harvard.edu/fswiki/FsFastTutorialV5.1/FsFa
 stGroupLevel - in order to concatenate the subjects data into one file you
 suggest using the command isxconcat-sess. My questions is; is it possible to
 use the command mris_preproc as in the structural analysis in this step? I
 simply want to project functional beta-values onto the fsaverage surface and
 analyze if there is a statistical significant difference between two groups
 (after correcting for multiple comparisons).
 
 Best, Silas 
 
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 http://www.partners.org/complianceline . If the e-mail was sent to you in
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[Freesurfer] FW: FW: Functional group analysis

2015-06-28 Thread Silas
Dear all,
Can anyone help me with this question?
Best, Silas

From: silasniel...@hotmail.com
To: freesurfer@nmr.mgh.harvard.edu
Date: Wed, 24 Jun 2015 11:35:28 +0200
Subject: [Freesurfer] FW: Functional group analysis




Dear FreeSurfer team,
I'm working on a functional analysis using FreeSurfer. I've already 
preprocessed my fMRI data and now I would like to analyze this data using 
mri_glmfit. My input is the prepared beta estimates for the fmri data 
(regression coefficients) and two groups (with activated regions for different 
muscles in the hand; musculus abductor digiti minimi vs first dorsal 
interossei). I do not want to smooth my data.
Which command/step do you suggest in order to implement this data into mri_glm?
I've experimented with mris_preproc and the creation of a FSGD-file in the 
structural analysis in order to implement my data in the GLM.

Best, Silas

From: silasniel...@hotmail.com
To: freesurfer@nmr.mgh.harvard.edu
Subject: Functional group analysis
Date: Fri, 19 Jun 2015 14:26:20 +0200




Dear FreeSurfer team,
I'm currently doing a functional group analysis using FreeSurfer by following 
your tutorial: 
https://surfer.nmr.mgh.harvard.edu/fswiki/FsFastTutorialV5.1/FsFastGroupLevel - 
in order to concatenate the subjects data into one file you suggest using the 
command isxconcat-sess. My questions is; is it possible to use the command 
mris_preproc as in the structural analysis in this step? I simply want to 
project functional beta-values onto the fsaverage surface and analyze if there 
is a statistical significant difference between two groups (after correcting 
for multiple comparisons).
Best, Silas 
  

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[Freesurfer] FW: Functional group analysis

2015-06-24 Thread Silas
Dear FreeSurfer team,
I'm working on a functional analysis using FreeSurfer. I've already 
preprocessed my fMRI data and now I would like to analyze this data using 
mri_glmfit. My input is the prepared beta estimates for the fmri data 
(regression coefficients) and two groups (with activated regions for different 
muscles in the hand; musculus abductor digiti minimi vs first dorsal 
interossei). I do not want to smooth my data.
Which command/step do you suggest in order to implement this data into mri_glm?
I've experimented with mris_preproc and the creation of a FSGD-file in the 
structural analysis in order to implement my data in the GLM.

Best, Silas

From: silasniel...@hotmail.com
To: freesurfer@nmr.mgh.harvard.edu
Subject: Functional group analysis
Date: Fri, 19 Jun 2015 14:26:20 +0200




Dear FreeSurfer team,
I'm currently doing a functional group analysis using FreeSurfer by following 
your tutorial: 
https://surfer.nmr.mgh.harvard.edu/fswiki/FsFastTutorialV5.1/FsFastGroupLevel - 
in order to concatenate the subjects data into one file you suggest using the 
command isxconcat-sess. My questions is; is it possible to use the command 
mris_preproc as in the structural analysis in this step? I simply want to 
project functional beta-values onto the fsaverage surface and analyze if there 
is a statistical significant difference between two groups (after correcting 
for multiple comparisons).
Best, Silas 
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[Freesurfer] Functional group analysis

2015-06-19 Thread Silas
Dear FreeSurfer team,
I'm currently doing a functional group analysis using FreeSurfer by following 
your tutorial: 
https://surfer.nmr.mgh.harvard.edu/fswiki/FsFastTutorialV5.1/FsFastGroupLevel - 
in order to concatenate the subjects data into one file you suggest using the 
command isxconcat-sess. My questions is; is it possible to use the command 
mris_preproc as in the structural analysis in this step? I simply want to 
project functional beta-values onto the fsaverage surface and analyze if there 
is a statistical significant difference between two groups (after correcting 
for multiple comparisons).
Best, Silas   ___
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[Freesurfer] Fsaverage template, labeling and group analysis

2015-04-14 Thread Silas
Dear Freesurfer team,

I would like to create a label using the fsaverage template (tksurfer) and then 
map this label to my subjects. The problem is that i currently have several 
fsaverage folders; one in each subject folder. How do i get one single 
fsaverage file? And is it possible to create a label and afterwards map this 
label accurately to the rest of my subjects? Would you recommend to correct 
this label after mapping it to the subjects (for each individual subject)?  

Best, Silas
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[Freesurfer] Average subject

2015-04-14 Thread Silas
Dear Freesurfer team,

I now see that the fsaverage folder in each subject folder is just a shortcut 
to the freesurfer folder: 'freesurfer/freesurfer.5.3.0/subjects/fsaverage'.

I have more questions regarding the fsaverage and creating a new label. Is it 
correctly understood that fsaverage is an average of all my subjects (that i 
create using the command -qcache when running recon-all)? Is the fsaverage file 
updated when making manual corrections to the pial and white matter surface 
when running recon-all without the -qcache function?

Another thought is: Is it possible to create a average subject using 
make_average_subject - create a label in tksurfer using this average subject 
(i'm investigating dorsal premotor cortex and the handknob area) - and 
implement this label to all my subjects using mri_label2label - and at last 
correct this label manually in each subject individually (if needed)? 

Is this the correct way to approach my issue? Or would you rather recommend me 
to change an existing label?

Group analysis guide: 'When you have run recon-all with the -qcache option, 
recon-all will resample data onto the average subject (fsaverage)' 
Bruce Fischl: 'sure, there are tools for drawing ROIs/labels on the surface in 
tksurfer. 
You can create a label on fsaverage or an individual subject, then use 
mri_label2label to map it to other subjects if you like'A last question is; 
after I've made my label and implemented it to all my subjects i would like to 
investigate cortical thickness of this particular part of the brain by a group 
analysis using freesurfer tools. Do you have an thorough guide to the steps in 
this analysis (in addition to this guide 
http://freesurfer.net/fswiki/FsTutorial/GroupAnalysis)? 

Thank you for all your help,
Best, Silas
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[Freesurfer] Labeling of handknob area in primary motor cortex

2015-04-02 Thread Silas
Dear freesurfer,

I was also wondering if you have an existing label of the handknob area located 
in primary motor cortex?

Best, Silas
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[Freesurfer] Labeling of the dorsal part of BA6 (dorsal premotor cortex)

2015-04-02 Thread Silas
Dear freesurfer,

Do you have an existing label of the dorsal part of the premotor cortex? If 
not, is it possible to manually label this area?

Best, Silas
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[Freesurfer] Changing wstresh and removing wsg-atlas - consequences?

2015-02-16 Thread Silas
Hi Freesurfer team,
I'm currently making an structural analysis using freesurfer. In the analysis 
i'm comparing 3 groups; 2 patient groups with different reactions to a certain 
type of medication and a healthy control group. In the freesurfer pipeline i'm 
changing the parameters wsthresh and wsgatlas in order to obtain a better 
fitted pial surface and white matter surface - and i was wondering if changing 
these parameters affect the comparability of the 3 groups (if e.g. i would like 
to investigate the inferior frontal gyrus)?
Best, Silas   ___
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Re: [Freesurfer] Changing wstresh and removing wsg-atlas - consequences?

2015-02-16 Thread Silas
Hi Bruce,
Thanks for your answer. My data quality isn't always as good as i could have 
hoped. This unfortunately impairs freesurfers ability to distinguish between 
grey matter surface, dura and skull. In specific cases I've found it rewarding 
to change the parameters in order to gain a better fitting of the pial surface 
to the actual grey matter surface. Afterwards I've made manual editing to 
obtain the best possible fit. These parameter changes isn't group specific. 
Would you still avoid changing the parameters?  
Best, Silas

 Date: Mon, 16 Feb 2015 09:28:05 -0500
 From: fis...@nmr.mgh.harvard.edu
 To: freesurfer@nmr.mgh.harvard.edu
 Subject: Re: [Freesurfer] Changing wstresh and removing wsg-atlas - 
 consequences?
 
 Hi Silas
 
 you should certainly try to avoid a group-by-processing parameters bias. 
 Is there a reason that one group would require different parameters than 
 another?
 
 cheers
 Bruce
 On Mon, 16 Feb 2015, Silas wrote:
 
  Hi Freesurfer team,
  I'm currently making an structural analysis using freesurfer. In the
  analysis i'm comparing 3 groups; 2 patient groups with different reactions
  to a certain type of medication and a healthy control group. In the
  freesurfer pipeline i'm changing the parameters wsthresh and wsgatlas in
  order to obtain a better fitted pial surface and white matter surface - and
  i was wondering if changing these parameters affect the comparability of the
  3 groups (if e.g. i would like to investigate the inferior frontal gyrus)?
  
  Best, Silas
  
 
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Re: [Freesurfer] Changing wstresh and removing wsg-atlas - consequences?

2015-02-16 Thread Silas
Hi Christian,
Thanks! My data quality is generally not very good - this i why i'm changing 
the parameters before starting manual editing (this saves me a lot of work). I 
just wanted to make sure that it did not affect the atlas more than necessary 
- making the data incomparable.
Lets have a talk at DRCMR - i also have some questions concerning movement 
artefacts.
Best, Silas

Date: Mon, 16 Feb 2015 15:28:46 +0100
From: ct...@dtu.dk
To: freesurfer@nmr.mgh.harvard.edu
Subject: Re: [Freesurfer] Changing wstresh and removing wsg-atlas - 
consequences?


  

  
  
Hi Silas,



Changing the wsthresh and wsgatlas parameters only affect the
brainmask (which is, among other things, used to limit how far the
pial surface is allowed to grow). This shouldn't affect the white
matter.



if your data contrast is good, you generally wont see much affect
from adjusting these parameters. However, if the contrast is bad you
need to inspect your brainmasks carefully, to make sure they
improved (without removing actual brain from the image).
Furthermore, in this case it is likely you'll also need to edit the
brainmasks manually.



To answer your question: Whenever you modify the parameters, and in
particular if you need to edit brainmasks, you introduce a bias in
your study (your qualitative evaluation of how good the brainmasks /
pial surfaces are). 



You need to consider if adjusting brainmasks is better than letting
the pipeline do its job - which boils down to the number of subjects
you have. The more you have, the more robust your statistics will
be, and the more likely it is that you can leave everything as it
is. However, If you have few subjects, bad data quality (and in
turn, brainmask quality) can really impact your pial surface, and
then it may be best to adjust the masks.



We can talk more at the hospital if you need further discussion, and
also look at your data ;-)



Best,

Christian



On 02/16/2015 01:54 PM, Silas wrote:



  
  
  Hi Freesurfer team,



I'm currently making an structural analysis using
  freesurfer. In the analysis i'm comparing 3 groups; 2 patient
  groups with different reactions to a certain type of
  medication and a healthy control group. In the freesurfer
  pipeline i'm changing the parameters wsthresh and wsgatlas in
  order to obtain a better fitted pial surface and white matter
  surface - and i was wondering if changing these parameters
  affect the comparability of the 3 groups (if e.g. i would like
  to investigate the inferior frontal gyrus)?



Best, Silas
  
  

  
  

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[Freesurfer] Labeling of preSMA?

2015-02-06 Thread Silas
Hi Freesurfer team,

I'm currently investigating the volume of preSMA. Is there an existing label of 
preSMA?

If not, together preSMA and SMA is also known as Brodmann Area 6, which is 
labeled already. PreSMA is located just rostrally to SMA in BA6, and i was 
wondering if it is possible to distinguish between preSMA and SMA by making a 
limit in y=0?

Thanks,

Best, Silas
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[Freesurfer] Brodmann Area stats to table

2014-08-07 Thread Silas
Hi guys!

Is there an easy way to get Brodmann Area stats to table like there is for aseg 
and aparc stats? 

Thanks!
Silas

PS. I looked the question up and it was answered in 2011 - I was just wondering 
if you guys made an easy way around the problem since then :)
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[Freesurfer] Structural analysis

2014-08-05 Thread Silas
Hi all,

I'm currently making a structural analysis on about 60 Parkinson patients and 
controls, and i would like to investigate specific regions in the brain - which 
do not seem to be included in the asegstats2table. How do i proceed from here?

Best, Silas
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Re: [Freesurfer] Freesurfer ROI analysis

2014-07-28 Thread Silas
Hi Bruce,
Thanks for your help!
But - would you recommend a longitudinal analysis even though i have quite many 
movement artefacts and bad scans - instead of just avoid using the worst 
picture? At the moment I'm making a cross-sectional study. I would also like to 
make an investigation of OFC grey matter thickness in the two groups; on and 
off medication (using freesurfer).
Is Martin Reuther on vacation at the moment?
Best, Silas

Date: Fri, 25 Jul 2014 09:45:16 -0400
From: fis...@nmr.mgh.harvard.edu
To: freesurfer@nmr.mgh.harvard.edu
Subject: Re: [Freesurfer] Freesurfer ROI analysis

Hi Silas
 
I'll leave the movement question for Martin Reuter who has been 
investigating this extensively.
 
For your other question, one of the central focuses of our recent research 
has been in improving the sensitivity and reliability of longiudinal 
analyses like these, so it is definitely a major strength of ours.
 
cheers
Bruce
 
On Fri, 25 Jul 2014, Silas wrote:
 
 Hi Freesurfer,
 I'm currently making a structural analysis on about 60 Parkinson's Disease
 patients using freesurfer - and i would like to make a ROI analysis. I have
 two MR pictures of each subject; a picture where the patients are on
 medication and an off medication picture (the medication is levodopa:
 Precursor to catecholamines e.g. dopamin). I would like to investigate the
 morphological differences in specific areas of the brain such as Nucleus
 Accumbens bilat., Orbitofrontal cortex bilat. and Anterior Cingulate Cortex.
 How would you consider freesurfer's strength in investigating differences in
 such specific areas in the brain?
 
 I have another question regarding movement artefacts. In a structural
 analysis would you remove pictures with movement artefacts if the
 segmentation after manual editing seems alright?
 
 Best,
 Silas
 


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[Freesurfer] Freesurfer ROI analysis

2014-07-25 Thread Silas
Hi Freesurfer,
I'm currently making a structural analysis on about 60 Parkinson's Disease 
patients using freesurfer - and i would like to make a ROI analysis. I have two 
MR pictures of each subject; a picture where the patients are on medication and 
an off medication picture (the medication is levodopa: Precursor to 
catecholamines e.g. dopamin). I would like to investigate the morphological 
differences in specific areas of the brain such as Nucleus Accumbens bilat., 
Orbitofrontal cortex bilat. and Anterior Cingulate Cortex. How would you 
consider freesurfer's strength in investigating differences in such specific 
areas in the brain?
I have another question regarding movement artefacts. In a structural analysis 
would you remove pictures with movement artefacts if the segmentation after 
manual editing seems alright?
Best,Silas___
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