Re: [Freesurfer] Fwd: comparing lme models

2014-12-18 Thread Lars M. Rimol
Hi Jorge,

My original model is: Intercept + centered age + group + centered age x
group + sex; and since I have only two time points I can have only one
random factor (as you've stated previously). I have used intercept as the
random factor.

So, based on your reply, I should fit this model for the covariance:

Intercept + centered age + centered age^2 + group + centered age x group +
centered age^2 x group + sex;

together with three different models for the mean, i.e. intercept, centered
age and centered age2 as random factors. When you say different models for
the mean, you mean different random factors, right?

So I should compare these three random factors with the chi square test to
see which random factor to use (i.e., which model for the mean).  And then
I can test for the significance of centered age, centered age^2, and the
two interaction terms to see which fixed factors I can drop from the
covariance model?

Have I understood you correctly?

Thank you!



yours,

Lars M. Rimol, PhD
Norwegian University of Science and Technology (NTNU)
Trondheim,
Norway

On Wed, Dec 17, 2014 at 5:00 PM, jorge luis jbernal0...@yahoo.es wrote:

 Hi Lars

  I'm not sure whether you are talking about comparing different
 statistical models with the same model for the mean but different models
 for the covariance or comparing models with different models for the mean
 itself. In order to use the lreml/chi square test for model comparison you
 need to have the same model for the mean. In your case it should include:

  intercept + age + age^2


  Then you select which of these variables are going to be treated as
 random effects based on the appropriate lreml/chi square test. After you
 select the random effects then you can perform statistical inferences
 (F-test) to determine whether your age^2 term is significant. If not
 significant you can drop it from the model.


  -Jorge

   --
  *De:* Lars M. Rimol lari...@gmail.com
 *Para:* FS maling list freesurfer@nmr.mgh.harvard.edu; Jorge Luis
 Bernal Rusiel jbernal0...@yahoo.es
 *Enviado:* Miércoles 17 de diciembre de 2014 9:42
 *Asunto:* [Freesurfer] Fwd: comparing lme models




 Hi Jorge,

 I have fitted two lme models that are identical except that one has age
 and the other has age². When choosing between the models, comparing lreml
 seems relevant. However, the lreml + chi square test method in FreeSurfer's
 lme module is meant for comparing full vs. reduced models, so this is not a
 typical a case for that.

 Looking at the lreml maps for the two models, I see that in some regions
 the age model gives a better fit and in other regions the opposite is true.
 I created difference maps (lreml_age² - lreml_age) and attached figures to
 illustrate this. In some regions (blue) the model with age yields a higher
 lreml and in some regions (red) the model with age² yields a higher lreml.

 Based on this, can I conclude that I might as well use the model with the
 linear age term?

 Or should I perform significance tests comparing the lreml maps even if
 though aren't nested?



 Thank you!


 yours,

 Lars M. Rimol, PhD
 Norwegian University of Science and Technology (NTNU)
 Trondheim,
 Norway

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Re: [Freesurfer] doubt regarding wm.mgz non wm voxels

2014-12-18 Thread Bruce Fischl
Hi Elisa

if the surfaces are correct (and they seem to have done an impressively 
good job) then you don't need to. While it worked for this case, I would 
be a bit concerned that the surfaces won't recover from wm.mgz inaccuracies 
in others ones though. You might try setting wlo to above the values of the 
gray matter that it is including (to be passed to mri_segment and 
mris_make_surfaces using -seg-wlo wlo

cheers
Bruce


On Thu, 18 Dec 2014, elisa veronese wrote:

 Dear FreeSurfer users,
 I have a doubt regarding an appearently wrong wm.mgz together with an
 appearently correct white matter surface.
 Though the yellow and red lines seem to be correct, should I delete those
 voxel in the wm.mgz which do not belong to white matter?
 
 Thank you.
 
 Best,
 elisa
 

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Re: [Freesurfer] doubt regarding wm.mgz non wm voxels

2014-12-18 Thread elisa veronese
Thank you.

Best,

elisa
Il 18/dic/2014 16:10 Bruce Fischl fis...@nmr.mgh.harvard.edu ha scritto:

 Hi Elisa

 if the surfaces are correct (and they seem to have done an impressively
 good job) then you don't need to. While it worked for this case, I would
 be a bit concerned that the surfaces won't recover from wm.mgz inaccuracies
 in others ones though. You might try setting wlo to above the values of the
 gray matter that it is including (to be passed to mri_segment and
 mris_make_surfaces using -seg-wlo wlo

 cheers
 Bruce


 On Thu, 18 Dec 2014, elisa veronese wrote:

  Dear FreeSurfer users,
  I have a doubt regarding an appearently wrong wm.mgz together with an
  appearently correct white matter surface.
  Though the yellow and red lines seem to be correct, should I delete those
  voxel in the wm.mgz which do not belong to white matter?
 
  Thank you.
 
  Best,
  elisa
 
 
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Re: [Freesurfer] doubt regarding wm.mgz non wm voxels

2014-12-18 Thread elisa veronese
Just one additional issue: what am I supposed to do if (please see attached
pictures) the wm.mgz file correctly does not include gray matter voxels,
but the yellow surface goes into the gray matter?
How can I fix this error?

Thank you.

Best,

elisa

[image: Immagine in linea 1]

[image: Immagine in linea 2]

2014-12-18 16:09 GMT+01:00 Bruce Fischl fis...@nmr.mgh.harvard.edu:

 Hi Elisa

 if the surfaces are correct (and they seem to have done an impressively
 good job) then you don't need to. While it worked for this case, I would
 be a bit concerned that the surfaces won't recover from wm.mgz inaccuracies
 in others ones though. You might try setting wlo to above the values of the
 gray matter that it is including (to be passed to mri_segment and
 mris_make_surfaces using -seg-wlo wlo

 cheers
 Bruce


 On Thu, 18 Dec 2014, elisa veronese wrote:

  Dear FreeSurfer users,
  I have a doubt regarding an appearently wrong wm.mgz together with an
  appearently correct white matter surface.
  Though the yellow and red lines seem to be correct, should I delete those
  voxel in the wm.mgz which do not belong to white matter?
 
  Thank you.
 
  Best,
  elisa
 
 
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 is
 addressed. If you believe this e-mail was sent to you in error and the
 e-mail
 contains patient information, please contact the Partners Compliance
 HelpLine at
 http://www.partners.org/complianceline . If the e-mail was sent to you in
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 properly
 dispose of the e-mail.



-- 
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Re: [Freesurfer] longitudinal statistics LGI

2014-12-18 Thread Jon Alan Wieser
HI Jorge,

Thanks for your quick reply.  What should we use for the contrast matrix?

the freesurfer LME wiki has:

CM.C = [zeros(3,5) [1 0 0 0 0 0 0;-1 0 0 1 0 0 0;0 0 0 -1 0 0 1] zeros(3,5)];​


But I wasn't sure if that applies to our analyses.  please excuse the naive 
questions, we are new to longitudinal LME analyses.


Thanks again

Jon


From: jorge luis jbernal0...@yahoo.es
Sent: Wednesday, December 17, 2014 9:25 AM
To: Freesurfer support list; Jon Alan Wieser
Cc: Krista Lisdahl Medina; alicia.thomas@gmail.com
Subject: Re: [Freesurfer] longitudinal statistics LGI

Hi Jon

We recommend to order the columns of your design matrix in the following way: 
First, the intercept term (which is a column of ones); second, the time 
covariate; third, any time-varying covariates (eg. cannabis use); fourth, the 
group covariates of interest (eg. a binary variable indicating whether the 
subject is a patient or control) and their interactions with the time-varying 
covariates; finally any other nuisance time-invariant covariate (eg. gender). 
So your design matrix is comprised by the following columns:

1. Intercept (a column of ones)
2. Time since baseline
3. cannabis use (time-varying if varies over time for each subject during the 
follow-up time)
4. alcohol use (time-varying if varies over time for each subject during the 
follow-up time)
5. drug use over time (time-varying if varies over time for each subject during 
the follow-up time)
6. gender
7. age at baseline


There is no GUI for setting up the models. Here is an outline of the basic 
steps (with only three time points you shouldn't need more than two random 
effects):

1-Read your label eg.:
lhcortex = fs_read_label('freesurfer/subjects/fsaverage/label/lh.cortex.label');

2-Read the data file eg.:
[lhY, lhmri] = fs_read_Y('lh.thickness.mgh');

3-Fit a vertex-wise lme model with two random effects for the intercept term 
and time eg.:
lhstats1 = lme_mass_fit_vw(X, [1 2], lhY, ni, lhcortex);

4-Fit a vertex-wise lme model with two random effects for the intercept term 
and cannabis use eg.:
lhstats2 = lme_mass_fit_vw(X, [1 3], lhY, ni, lhcortex);

And so on with other time-variying covariates...

Now see which model fit produces the best lreml values across vertices in 
general and then:

4-Perform vertex-wise inferences using the winner model eg.:
CM.C = [your contrast matrix];
F_lhstats = lme_mass_F(lhstats_winner, CM);

5-Save results eg.:
fs_write_fstats(F_lhstats, lhmri,' sig.mgh', 'sig');


-Jorge


De: Jon Alan Wieser wie...@uwm.edu
Para: jorge luis jbernal0...@yahoo.es; Freesurfer support list 
freesurfer@nmr.mgh.harvard.edu
CC: Krista Lisdahl Medina krista.med...@gmail.com; 
alicia.thomas@gmail.com alicia.thomas@gmail.com
Enviado: Martes 16 de diciembre de 2014 15:24
Asunto: Re: [Freesurfer] longitudinal statistics LGI

Jorge,

We are interested in examining the impact of cannabis exposure (time-varying 
continuous variable) on local gyrification index over 3 time points (baseline, 
18 month, 36 month)- so this is a time-varying random effect. I apologize in 
advance if these are student questions… we are novices here…

From what you said previously, we would want to model intercept+time, vs 
intercept+cannabis use, vs intercept+time+ cannabis use. Vs. intercept+time+ 
cannabis use.+covariates (alcohol use over time, gender, age, drug use over 
time). We are trying to figure out how to do this in Freesurfer/Matlab using 
the Wiki (https://surfer.nmr.mgh.harvard.edu/fswiki/LinearMixedEffectsModels). 
There is a great example in there with AD/MCI groups, but none outlining an 
example focused on time-varying continuous variables.

So with OUR question, would we organize the data as follows:
Intercept
Time
Cannabis total (changes over time)
Alcohol total (changes over time)
Other Drug total (changes over time)
Gender
Age at baseline

So, a few questions:
1)We need help writing the syntax for Matlab for testing the models 
(assuming linear trend was significant):
a.  intercept+time, vs
b. intercept+cannabis use, vs
c. intercept+time+ cannabis use. Vs.
d. intercept+time+ cannabis use.+covariates (alcohol use over time, gender, 
age, drug use over time)…
   i. For example, this is the 
linear model for cortical thickness over time for the groups example: Yij = ß1 
+ ß2*tij + ß3*t²ij + ß4*sMCIi + ß5*sMCIi*tij + ß6*sMCIi*t²ij + ß7*cMCIi + 
ß8*cMCIi*tij + ß9*cMCIi*t²ij + ß10*ADi + ß11*ADi*tij + ß12*ADi*t²ij + ß13*E4i + 
ß14*E4i*tij + ß15*Genderi + ß16*BslAgei + ß17*Educationi + b1i + b2i*tij+ eij
  ii. This is the design 
matrix: [lhTh0,lhRe] = lme_mass_fit_EMinit(X,[1 2],Y,ni,lhcortex,3);


2)Is there a GUI available for setting up these models? (We are assuming 
there isn’t and that it is all matlab based.)
3)Once we test these models, is it correct 

Re: [Freesurfer] Different significant regions with different cluster wise thresholds

2014-12-18 Thread Douglas N Greve

OK, I've figured out what's going on. The cluster @ threshold of 1.3 in 
superior temporal breaks up into 3 very small clusters when the 
threshold is changed to 2.0, none of which are significant. There is a  
cluster in middle temporal at 1.3 but it is not very significant 
(p=.17), but it stays a single cluster when the threshold is changed to 
2.0. The size of the cluster drops by a factor of 2 but it is still 
large enough to be significant (p=.043). This is just one of the 
problems with the cluster method.

doug

On 12/17/2014 05:52 PM, Bronwyn Overs wrote:
 Hi Doug,

 The problem is with the int_genderXgroup contrast (between .05  .01 
 cluster forming thresholds).

 Kind regards,

 Bronwyn Overs
 Research Assistant

 Neuroscience Research Australia

 Neuroscience Research Australia
 Margarete Ainsworth Building
 Barker Street Randwick Sydney NSW 2031 Australia
 *M* 0411 308 769 *T* +61 2 9399 1883 *F* +61 2 9399 1265

 neura.edu.au http://neura.edu.au

 Follow @neuraustralia on twitter 
 https://twitter.com/neuraustraliaFollow NeuRA on facebook 
 https://www.facebook.com/NeuroscienceResearchAustraliaSubscribe to 
 the NeuRA Magazine http://www.neura.edu.au/help-research/subscribe

 On 18/12/2014 4:42 am, Douglas N Greve wrote:
 There are a bunch of contrasts there. Which one had the discrepancy?
 doug

 On 12/15/2014 07:43 PM, Bronwyn Overs wrote:
 Hi Douglas,

 I uploaded my glmdir to you on the 3/12/14 (named
 site-gender-group-prothaplotype.area.lh.glmdir.zip). Can you see what
 the problem is?

 Kind regards,

 Bronwyn Overs
 Research Assistant

 Neuroscience Research Australia

 Neuroscience Research Australia
 Margarete Ainsworth Building
 Barker Street Randwick Sydney NSW 2031 Australia
 *M* 0411 308 769 *T* +61 2 9399 1883 *F* +61 2 9399 1265

 neura.edu.auhttp://neura.edu.au

 Follow @neuraustralia on twitter
 https://twitter.com/neuraustraliaFollow NeuRA on facebook
 https://www.facebook.com/NeuroscienceResearchAustraliaSubscribe to
 the NeuRA Magazinehttp://www.neura.edu.au/help-research/subscribe

 On 27/11/2014 1:31 pm, Bronwyn Overs wrote:
 Thanks Douglas, I will upload it then.

 Kind regards,

 Bronwyn Overs
 Research Assistant

 Neuroscience Research Australia

 Neuroscience Research Australia
 Margarete Ainsworth Building
 Barker Street Randwick Sydney NSW 2031 Australia
 *M* 0411 308 769 *T* +61 2 9399 1883 *F* +61 2 9399 1265

 neura.edu.auhttp://neura.edu.au

 Follow @neuraustralia on twitter
 https://twitter.com/neuraustraliaFollow NeuRA on facebook
 https://www.facebook.com/NeuroscienceResearchAustraliaSubscribe to
 the NeuRA Magazinehttp://www.neura.edu.au/help-research/subscribe

 On 27/11/2014 1:30 pm, Douglas Greve wrote:
 Through the file drop at the end of this email. But you might want
 to wait until next week as I will be out of the office until Dec 4.
 doug

 On 11/26/14 12:50 AM, Bronwyn Overs wrote:
 Hi Douglas,

 How exactly should I upload the glmdir?

 Kind regards,

 Bronwyn Overs
 Research Assistant

 Neuroscience Research Australia

 Neuroscience Research Australia
 Margarete Ainsworth Building
 Barker Street Randwick Sydney NSW 2031 Australia
 *M* 0411 308 769 *T* +61 2 9399 1883 *F* +61 2 9399 1265

 neura.edu.auhttp://neura.edu.au

 Follow @neuraustralia on twitter
 https://twitter.com/neuraustraliaFollow NeuRA on facebook
 https://www.facebook.com/NeuroscienceResearchAustraliaSubscribe
 to the NeuRA Magazine
 http://www.neura.edu.au/help-research/subscribe

 On 11/11/2014 4:19 am, Douglas N Greve wrote:
 Can you upload the gtlmdir and I'll take a look?

 On 11/06/2014 08:19 PM, Bronwyn Overs wrote:
 I believe it is the cluster-forming threshold. I was running the
 following:
 mri_glmfit-sim --glmdir site-gender-group-prothaplotype.glmdir --cache
 1.3 abs --cwpvalthresh  0.05 --2spaces
 mri_glmfit-sim --glmdir site-gender-group-prothaplotype.glmdir --cache
 2 abs --cwpvalthresh  0.05 --2spaces

 Kind regards,

 Bronwyn Overs
 Research Assistant

 Neuroscience Research Australia

 Neuroscience Research Australia
 Margarete Ainsworth Building
 Barker Street Randwick Sydney NSW 2031 Australia
 *M* 0411 308 769 *T* +61 2 9399 1883 *F* +61 2 9399 1265

 neura.edu.auhttp://neura.edu.au

 Follow @neuraustralia on twitter
 https://twitter.com/neuraustraliaFollow NeuRA on facebook
 https://www.facebook.com/NeuroscienceResearchAustraliaSubscribe to
 the NeuRA Magazinehttp://www.neura.edu.au/help-research/subscribe

 On 7/11/2014 4:03 am, Douglas N Greve wrote:
 Do you mean cluster-wise threshold or cluster-forming threshold?

 On 11/06/2014 01:12 AM, Bronwyn Overs wrote:
 Dear Freesurfer Mailing list,

 While running a glm anlaysis with monte carlo correction (using
 cluster wise thresholds of .05  .01), I encountered the following 
 issue:
 When examining the clusters formed for each of the different cluster
 wise thresholds, the .05 threshold resulted in a superior temporal
 cluster, while the .01 threshold resulted in a two lateral occipital
 clusters that did 

Re: [Freesurfer] retinotopy in subject volumetric space

2014-12-18 Thread Douglas N Greve

What do you mean by the individual's volumetric space? The anatomical 
space or the functional space?


On 12/16/2014 05:18 PM, Benjamin Zimmerman wrote:
 Thanks for the advice. I thought I would like to use mri_surf2vol, but 
 I am a little confused about the parameters and how they relate to 
 what the retinotopy analysis outputs.

 To be explicit, I want to view the real.nii.gz and imag.nii.gz files 
 in an individual's volumetric space. I can load these as overlays to 
 the inflated surface using tksurfer subject hemisphere inflated. 
 Then I can configure the overlay to use a color wheel color scale and 
 display as complex to see the retinotopic mapping.

 I'm not sure how I would go about using mri_surf2vol to recreate this 
 map in volumetric space. Should I just use real.nii.gz and imag.nii.gz 
 as surfval? Where is the registration file outputted in a retinotopy 
 analysis?

 Thank you for any more help that you can provide,

 Ben

 On Mon, Dec 15, 2014 at 3:26 PM, dgw dgwake...@gmail.com 
 mailto:dgwake...@gmail.com wrote:

 Hi Ben,

 You should be able to map it back with mri_surf2vol. I haven't done
 this, but the wiki page looks fairly detailed:
 http://surfer.nmr.mgh.harvard.edu/fswiki/mri_surf2vol

 HTH
 D

 On Mon, Dec 15, 2014 at 3:43 PM, Benjamin Zimmerman
 benjamin.zimmerm...@gmail.com
 mailto:benjamin.zimmerm...@gmail.com wrote:
  Hi all,
 
  FsFast has an excellent individual retinotopy analysis that
 allows me to see
  phase data on the inflated surface of the brain. Is there a way
 to view the
  results of the retinotopy analysis in the subject's original
 volumetric
  space rather than on the subject's surface space?
 
  Thank you for any help,
 
  Ben
 
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-- 
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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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Re: [Freesurfer] retinotopy in subject volumetric space

2014-12-18 Thread Benjamin Zimmerman
I mean the individual's anatomical volumetric space.

On Thu, Dec 18, 2014 at 11:53 AM, Douglas N Greve gr...@nmr.mgh.harvard.edu
 wrote:


 What do you mean by the individual's volumetric space? The anatomical
 space or the functional space?


 On 12/16/2014 05:18 PM, Benjamin Zimmerman wrote:
  Thanks for the advice. I thought I would like to use mri_surf2vol, but
  I am a little confused about the parameters and how they relate to
  what the retinotopy analysis outputs.
 
  To be explicit, I want to view the real.nii.gz and imag.nii.gz files
  in an individual's volumetric space. I can load these as overlays to
  the inflated surface using tksurfer subject hemisphere inflated.
  Then I can configure the overlay to use a color wheel color scale and
  display as complex to see the retinotopic mapping.
 
  I'm not sure how I would go about using mri_surf2vol to recreate this
  map in volumetric space. Should I just use real.nii.gz and imag.nii.gz
  as surfval? Where is the registration file outputted in a retinotopy
  analysis?
 
  Thank you for any more help that you can provide,
 
  Ben
 
  On Mon, Dec 15, 2014 at 3:26 PM, dgw dgwake...@gmail.com
  mailto:dgwake...@gmail.com wrote:
 
  Hi Ben,
 
  You should be able to map it back with mri_surf2vol. I haven't done
  this, but the wiki page looks fairly detailed:
  http://surfer.nmr.mgh.harvard.edu/fswiki/mri_surf2vol
 
  HTH
  D
 
  On Mon, Dec 15, 2014 at 3:43 PM, Benjamin Zimmerman
  benjamin.zimmerm...@gmail.com
  mailto:benjamin.zimmerm...@gmail.com wrote:
   Hi all,
  
   FsFast has an excellent individual retinotopy analysis that
  allows me to see
   phase data on the inflated surface of the brain. Is there a way
  to view the
   results of the retinotopy analysis in the subject's original
  volumetric
   space rather than on the subject's surface space?
  
   Thank you for any help,
  
   Ben
  
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[Freesurfer] surface template N

2014-12-18 Thread Jason Tourville
We are planning to generate a surface template from edited reconstructions
of pediatric cortical surfaces (ages 3-11). Any thoughts on the minimum
number of subjects should be used to generate the template?

Thanks,
Jason


-- 
Jason A. Tourville, Ph.D.
Research Assistant Professor
Department of Speech, Language,
and Hearing Sciences
Boston University
677 Beacon St.
Boston, MA 02215
Phone: (617)353-9484
Fax: (617)353-7755
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Re: [Freesurfer] surface template N

2014-12-18 Thread Anthony Dick

Hi Jason,

I saw this last week. I *think* the original template was on 40 brains, 
so 40 seems like a good number. In my opinion the bigger issue is the 8 
year age range. A 3-year-old's head is much smaller than an 
11-year-old's. I'm not sure I would mix them, and if there are enough 
subjects would suggest binning them into smaller ages. This would be a 
nice resource regardless, so hopefully this serves as a bump on the 
subject number question.


Anthony

On 12/18/14, 2:43 PM, Jason Tourville wrote:
We are planning to generate a surface template from edited 
reconstructions of pediatric cortical surfaces (ages 3-11). Any 
thoughts on the minimum number of subjects should be used to generate 
the template?


Thanks,
Jason


--
Jason A. Tourville, Ph.D.
Research Assistant Professor
Department of Speech, Language,
and Hearing Sciences
Boston University
677 Beacon St.
Boston, MA 02215
Phone: (617)353-9484
Fax: (617)353-7755


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--
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Director, Cognitive Neuroscience Program and Graduate Certificate in Cognitive 
Neuroscience
Department of Psychology
Florida International University Modesto A. Maidique Campus AHC4 454
11200 S.W. 8th Street
Miami, FL 33199
Ph: 305-348-4202; Lab Ph: 305-348-9055; Fx: 305-348-3879
Email: ad...@fiu.edu
Webpage: faculty.fiu.edu/~adick

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Re: [Freesurfer] From bedpostX and recon-all to tracula

2014-12-18 Thread Chris Watson
You may have to transpose the bvecs and bvals files. I think that's how 
Tracula expects them. You can use the attached script to do it.


On 12/17/2014 09:18 PM, Katherine Damme wrote:
Thanks! That was exactly it! It was a FAT server and so that resolved 
that issue.


Tracula is claiming that the bvecs and bvals don't have the same 
number of entries. These were the bvecs and bval files created during 
the trac-all prep process, but when I preprocesed the data previously 
with FSL the bvecs and bvals that were created did have equal numbers. 
I tried to specify to use these fsl made bvecs and bvals in the 
configuration file and it continues to default to the ones that it made.


 Any ideas?

Thank you!

Kate

On Mon, Dec 15, 2014 at 7:42 PM, Watson, Christopher 
christopher.wat...@childrens.harvard.edu 
mailto:christopher.wat...@childrens.harvard.edu wrote:


I think certain filesystems don't support sym linking (e.g.
FAT32). So that might be it.


From: freesurfer-boun...@nmr.mgh.harvard.edu
mailto:freesurfer-boun...@nmr.mgh.harvard.edu
[freesurfer-boun...@nmr.mgh.harvard.edu
mailto:freesurfer-boun...@nmr.mgh.harvard.edu] on behalf of
Katherine Damme [katherine.da...@gmail.com
mailto:katherine.da...@gmail.com]
Sent: Monday, December 15, 2014 5:29 PM
To: Anastasia Yendiki
Cc: Freesurfer support list
Subject: Re: [Freesurfer] From bedpostX and recon-all to tracula

After removing this I have a new (possibly unrelated error):
mv -f /media/Sokol/Subj/041/dmri/bvecs
/media/Sokol/Subj/041/dmri/bvecs.norot
xfmrot /media/Sokol/Subj/041/dmri/dwi.ecclog
/media/Sokol/Subj/041/dmri/bvecs.norot
/media/Sokol/Subj/041/dmri/bvecs
ln -sf /media/Sokol/Subj/041/dmri/dwi.nii.gz
/media/Sokol/Subj/041/dmri/data.nii.gz
ln: creating symbolic link
`/media/Sokol/Subj/041/dmri/data.nii.gz': Operation not permitted

This persists even when I run the command as the root user and
regardless of the permissions settings of the folder and the
fdwi.nii.gz file.

Any ideas?

On Mon, Dec 15, 2014 at 3:07 PM, Anastasia Yendiki
ayend...@nmr.mgh.harvard.edu
mailto:ayend...@nmr.mgh.harvard.edumailto:ayend...@nmr.mgh.harvard.edu
mailto:ayend...@nmr.mgh.harvard.edu wrote:

It's hard to tell what's causing the error without seeing the
entire trac-all.log. However, by glancing at your config file you
seem to still have B0 inhomogeneity correction turned on (dob0 =
1) but without specifying any field map dicoms. I'd turn it off
and see if that fixes it.


On Mon, 15 Dec 2014, Katherine Damme wrote:

Where would I be specifying a directory as an input/output?

I used the following cmd: /usr/local/freesurfer/bin/trac-all -prep
-c dmri.fy

On Sun, Dec 14, 2014 at 7:12 PM, Bruce Fischl
fis...@nmr.mgh.harvard.edu
mailto:fis...@nmr.mgh.harvard.edumailto:fis...@nmr.mgh.harvard.edu
mailto:fis...@nmr.mgh.harvard.edu wrote:
  Hi Katerine

  the COR-* format is an old one that we don't use anymore. If
you specify a directory as an
  input/output we will assume that it contains COR files,
which is probably what you are seeing.

  cheers
  Bruce


  On Sun, 14 Dec 2014, Katherine Damme wrote:

At what point is the COR-*.info file made?
I got the following error:

corRead(): can't open file /media/Sokol/Subj/COR-.info
$Id: mri_convert.c,v 1.179.2.7 2012/09/05 21:55:16
mreuter Exp $
reading from /media/Sokol/Subj/...
Linux kate.ad.wcas.northwestern.edu
http://kate.ad.wcas.northwestern.eduhttp://kate.ad.wcas.northwestern.edu
2.6.32-431.3.1.el6.x86_64 #1 SMP Fri Dec
13 06:58:20 EST 2013 x86_64 x86_64 x86_64 GNU/Linux

trac-preproc exited with ERRORS at Fri Dec 12 12:54:40
CST 2014

[ksd770@kate 041]# ls /media/Sokol/Subj/COR-*

On Thu, Dec 11, 2014 at 2:48 PM, Anastasia Yendiki
ayend...@nmr.mgh.harvard.edu
mailto:ayend...@nmr.mgh.harvard.edumailto:ayend...@nmr.mgh.harvard.edu
mailto:ayend...@nmr.mgh.harvard.edu wrote:

  No, those are field maps used to correct for
inhomogeneities in
  the main magnetic field (which in MRI lingo is
referred to as
  the B0 field, not to be confused with the b=0
images). You can
  skip that correction (you have to skip it if you
don't have
  field maps).

  On Thu, 11 Dec 2014, Katherine Damme wrote:

I am sorry, I am a bit confused. What am I
supposed
to be specifying under
the b0mlist and b0plist?

I thought that it 

[Freesurfer] Clarification regarding group specific average template creation

2014-12-18 Thread Bharadwaj, Pradyumna - (prad)
Hello,

My question is regarding the registration procedure using a group specific 
average template.

I ran recon-all for my group(with 100 subjects), created an average subject 
using make_average_subject and then used recon-all qcache by referencing the 
average template that I just created. I also ran 10,000 iterations of the monte 
carlo simulation using the above average template for multiple comparisons 
correction. I plan to use QDEC to analyze my group data.

From what I’ve understood so far, during recon-all, each subject is registered 
to the spherical surface of fsaverage. So, by specifying my average template 
during the qcache step I’m resampling the data created from the registration 
with fsaverage onto my own average template. (Is my understanding correct?)

I later found this page 
(https://surfer.nmr.mgh.harvard.edu/fswiki/SurfaceRegAndTemplates ) which 
outlines a workflow where an average template is created iteratively using the 
spherical registration parameters of the initial average template. I see that 
this page was last updated in 2011 and I wanted to know if this still applies 
to the current version (5.3)

If it does apply to the current version, would my workflow be in any way 
equivalent to the one at the link above? Or would I have to re-register my 
subjects and re-run all the subsequent steps?

I’m quite new to freesurfer and would really appreciate any inputs on this 
matter.
Looking forward to hearing back,
-Prad
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Re: [Freesurfer] longitudinal statistics LGI

2014-12-18 Thread Jon Alan Wieser
Hi Jorge,

One more newbie question.

what's  a good way to visualize the lhstats1.lreml values across the vertices?

Thanks

Jon


From: jorge luis jbernal0...@yahoo.es
Sent: Wednesday, December 17, 2014 9:25 AM
To: Freesurfer support list; Jon Alan Wieser
Cc: Krista Lisdahl Medina; alicia.thomas@gmail.com
Subject: Re: [Freesurfer] longitudinal statistics LGI

Hi Jon

We recommend to order the columns of your design matrix in the following way: 
First, the intercept term (which is a column of ones); second, the time 
covariate; third, any time-varying covariates (eg. cannabis use); fourth, the 
group covariates of interest (eg. a binary variable indicating whether the 
subject is a patient or control) and their interactions with the time-varying 
covariates; finally any other nuisance time-invariant covariate (eg. gender). 
So your design matrix is comprised by the following columns:

1. Intercept (a column of ones)
2. Time since baseline
3. cannabis use (time-varying if varies over time for each subject during the 
follow-up time)
4. alcohol use (time-varying if varies over time for each subject during the 
follow-up time)
5. drug use over time (time-varying if varies over time for each subject during 
the follow-up time)
6. gender
7. age at baseline


There is no GUI for setting up the models. Here is an outline of the basic 
steps (with only three time points you shouldn't need more than two random 
effects):

1-Read your label eg.:
lhcortex = fs_read_label('freesurfer/subjects/fsaverage/label/lh.cortex.label');

2-Read the data file eg.:
[lhY, lhmri] = fs_read_Y('lh.thickness.mgh');

3-Fit a vertex-wise lme model with two random effects for the intercept term 
and time eg.:
lhstats1 = lme_mass_fit_vw(X, [1 2], lhY, ni, lhcortex);

4-Fit a vertex-wise lme model with two random effects for the intercept term 
and cannabis use eg.:
lhstats2 = lme_mass_fit_vw(X, [1 3], lhY, ni, lhcortex);

And so on with other time-variying covariates...

Now see which model fit produces the best lreml values across vertices in 
general and then:

4-Perform vertex-wise inferences using the winner model eg.:
CM.C = [your contrast matrix];
F_lhstats = lme_mass_F(lhstats_winner, CM);

5-Save results eg.:
fs_write_fstats(F_lhstats, lhmri,' sig.mgh', 'sig');


-Jorge


De: Jon Alan Wieser wie...@uwm.edu
Para: jorge luis jbernal0...@yahoo.es; Freesurfer support list 
freesurfer@nmr.mgh.harvard.edu
CC: Krista Lisdahl Medina krista.med...@gmail.com; 
alicia.thomas@gmail.com alicia.thomas@gmail.com
Enviado: Martes 16 de diciembre de 2014 15:24
Asunto: Re: [Freesurfer] longitudinal statistics LGI

Jorge,

We are interested in examining the impact of cannabis exposure (time-varying 
continuous variable) on local gyrification index over 3 time points (baseline, 
18 month, 36 month)- so this is a time-varying random effect. I apologize in 
advance if these are student questions… we are novices here…

From what you said previously, we would want to model intercept+time, vs 
intercept+cannabis use, vs intercept+time+ cannabis use. Vs. intercept+time+ 
cannabis use.+covariates (alcohol use over time, gender, age, drug use over 
time). We are trying to figure out how to do this in Freesurfer/Matlab using 
the Wiki (https://surfer.nmr.mgh.harvard.edu/fswiki/LinearMixedEffectsModels). 
There is a great example in there with AD/MCI groups, but none outlining an 
example focused on time-varying continuous variables.

So with OUR question, would we organize the data as follows:
Intercept
Time
Cannabis total (changes over time)
Alcohol total (changes over time)
Other Drug total (changes over time)
Gender
Age at baseline

So, a few questions:
1)We need help writing the syntax for Matlab for testing the models 
(assuming linear trend was significant):
a.  intercept+time, vs
b. intercept+cannabis use, vs
c. intercept+time+ cannabis use. Vs.
d. intercept+time+ cannabis use.+covariates (alcohol use over time, gender, 
age, drug use over time)…
   i. For example, this is the 
linear model for cortical thickness over time for the groups example: Yij = ß1 
+ ß2*tij + ß3*t²ij + ß4*sMCIi + ß5*sMCIi*tij + ß6*sMCIi*t²ij + ß7*cMCIi + 
ß8*cMCIi*tij + ß9*cMCIi*t²ij + ß10*ADi + ß11*ADi*tij + ß12*ADi*t²ij + ß13*E4i + 
ß14*E4i*tij + ß15*Genderi + ß16*BslAgei + ß17*Educationi + b1i + b2i*tij+ eij
  ii. This is the design 
matrix: [lhTh0,lhRe] = lme_mass_fit_EMinit(X,[1 2],Y,ni,lhcortex,3);


2)Is there a GUI available for setting up these models? (We are assuming 
there isn’t and that it is all matlab based.)
3)Once we test these models, is it correct that we open the spheres 
representing the liklihood ratio test results (corrected for multiple 
comparisons) and pick the “best” model based on the greatest #/size of 
significant clusters?

Jon

​

Jon Wieser

Re: [Freesurfer] doubt regarding wm.mgz non wm voxels

2014-12-18 Thread Bruce Fischl
Hi Elisa
try the -seg-wlo I sent you before.

Bruce
On Thu, 18 Dec 2014, elisa veronese 
wrote:

 Just one additional issue: what am I supposed to do if (please see attached
 pictures) the wm.mgz file correctly does not include gray matter voxels, but
 the yellow surface goes into the gray matter?
 How can I fix this error?
 
 Thank you.
 
 Best,
 
 elisa
 
 Immagine in linea 1
 
 Immagine in linea 2
 
 2014-12-18 16:09 GMT+01:00 Bruce Fischl fis...@nmr.mgh.harvard.edu:
   Hi Elisa

   if the surfaces are correct (and they seem to have done an
   impressively
   good job) then you don't need to. While it worked for this case,
   I would
   be a bit concerned that the surfaces won't recover from wm.mgz
   inaccuracies
   in others ones though. You might try setting wlo to above the
   values of the
   gray matter that it is including (to be passed to mri_segment
   and
   mris_make_surfaces using -seg-wlo wlo

   cheers
   Bruce
 

   On Thu, 18 Dec 2014, elisa veronese wrote:

Dear FreeSurfer users,
I have a doubt regarding an appearently wrong wm.mgz together
   with an
appearently correct white matter surface.
Though the yellow and red lines seem to be correct, should I
   delete those
voxel in the wm.mgz which do not belong to white matter?
   
Thank you.
   
Best,
elisa
   
   
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 e-mail
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 HelpLine at
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 --
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Re: [Freesurfer] surface template N

2014-12-18 Thread Bruce Fischl
Hi Jason

I would say at least 15, but you can also just check to see when things 
start to asymptote. I think Christophe found there were diminishing returns 
after 12 or so, but things have changed somewhat since then, and of course 
it will depend on the variance on your population.

cheers
Bruce




On Thu, 18 Dec 2014, Jason Tourville wrote:

 We are planning to generate a surface template from edited reconstructions
 of pediatric cortical surfaces (ages 3-11). Any thoughts on the minimum
 number of subjects should be used to generate the template?
 
 Thanks,
 Jason[cleardot.gif]
 
 
 --
 Jason A. Tourville, Ph.D.
 Research Assistant Professor
 Department of Speech, Language,
 and Hearing Sciences
 Boston University
 677 Beacon St.
 Boston, MA 02215
 Phone: (617)353-9484
 Fax: (617)353-7755
 

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Re: [Freesurfer] using mri_convert with multiframe dicom

2014-12-18 Thread Gurney, Jenny
Hi Doug,

Lauren has just reuploaded the multiframe phantoms to your dropbox.  Thanks so 
much for taking a look at this.

Jenny Gurney
CNDA/Wash U



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Re: [Freesurfer] Clarification regarding group specific average template creation

2014-12-18 Thread Bruce Fischl

Hi Prad

no, everything is still ni fsaverage space. You would need to run 
mris_make_template to create a new template, then rerun mris_register


cheers
Bruce


On Thu, 18 Dec 2014, Bharadwaj, 
Pradyumna - (prad) wrote:




Hello,


My question is regarding the registration procedure using a group specific
average template.


I ran recon-all for my group(with 100 subjects), created an average subject
using make_average_subject and then used recon-all qcache by referencing the
average template that I just created. I also ran 10,000 iterations of the
monte carlo simulation using the above average template for multiple
comparisons correction. I plan to use QDEC to analyze my group data.


From what I’ve understood so far, during recon-all, each subject is
registered to the spherical surface of fsaverage. So, by specifying my
average template during the qcache step I’m resampling the data created from
the registration with fsaverage onto my own average template. (Is my
understanding correct?)


I later found this page
(https://surfer.nmr.mgh.harvard.edu/fswiki/SurfaceRegAndTemplates ) which
outlines a workflow where an average template is created iteratively using
the spherical registration parameters of the initial average template. I see
that this page was last updated in 2011 and I wanted to know if this still
applies to the current version (5.3)


If it does apply to the current version, would my workflow be in any way
equivalent to the one at the link above? Or would I have to re-register my
subjects and re-run all the subsequent steps?


I’m quite new to freesurfer and would really appreciate any inputs on this
matter.

Looking forward to hearing back,

-Prad


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contains patient information, please contact the Partners Compliance HelpLine at
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but does not contain patient information, please contact the sender and properly
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Re: [Freesurfer] Tracula output variability reinit

2014-12-18 Thread Anastasia Yendiki


Hi Peggy - The reinit option is meant to use when you don't have a 
valid-appearing tract the first time (you have a tract that looks like a 
single line, which means that the first initialization of the path was 
poor, i.e., outside the white matter or something like that). If you have 
a valid-appearing tract with the first initialization, but not with 
another initialization, then the first one is the one to keep. If you have 
a case where you have different results but you are unsure which one is 
valid, I can look at it if you upload here:

https://gate.nmr.mgh.harvard.edu/filedrop2/

The nsample is the number of path samples that are saved and added up to 
give you the final path distribution. In principle, if you found that you 
were not converging reliably to the same solution with this number of 
samples (with a valid initialization), you would increase the number.


The number of burn-in samples is a number of samples that are run in the 
very beginning and discarded, before the nsample samples that are actually 
saved. As long as the algorithm starts from a resonable initial guess, 
this shouldn't have much of an effect. The nkeep parameter means that 1 
sample path is saved for every nkeep sample paths that are drawn. Not 
keeping every sample increases independence between samples. These are 
standard aspects of an MCMC algorithm.


a.y

On Mon, 15 Dec 2014, Peggy Skelly wrote:


I've been interested in these 2 questions, since I have similar
issues:https://www.mail-archive.com/freesurfer@nmr.mgh.harvard.edu/msg38213.html
http://www.mail-archive.com/freesurfer@nmr.mgh.harvard.edu/msg39282.html

What does it mean if I find a valid-appearing tract with reinit=0, but then 
lose it with reinit=1?

How much variability should I expect in the path stats between runs using the 
same parameters?
I haven't gotten as far as the previous question to see if statistical 
significance changes, but since I'm looking at longitudinal data, I
expect the actual white matter changes over time to be rather small.

How do the dmrirc parameters nburnin, nsample, and nkeep affect the MCMC 
process and results?
Since the built in randomness should decrease the number of samples is 
increase, should I just increase nsample?

Thanks,
Peggy



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Re: [Freesurfer] Tracula Question

2014-12-18 Thread Anastasia Yendiki


Hi Emily - One should be a symbolic link to the other, so they should be 
the exact same file.


a.y

On Tue, 16 Dec 2014, Emily Louise Belleau wrote:



__
​Hello,

I was wondering what the difference was between the dwi.nii.gz and thd 
data.nii.gz files.

I know based on the website description that the dwi.nii.gz file is the DWI 
after all corrections have been made but I was unsure about
the data.nii.gz file.

I am trying a different program that does local tractography and was wondering 
whether to feed in the dwi.nii.gz or the data.nii.gz files
to calculate the diffusion tensors?

Thanks,

Emily

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Re: [Freesurfer] From bedpostX and recon-all to tracula

2014-12-18 Thread Anastasia Yendiki


Hi Kate - The option to use row-formatted (instead of column-formatted) 
gradient tables was added in a tracula update that came out after 
freesurfer 5.3 was released. If you want to use this format, you can 
download the update here:

http://surfer.nmr.mgh.harvard.edu/fswiki/Tracula#Updates

You should make sure to download the same build as your 5.3 build, which 
should be the CentOS 6 64-bit, based on this line that I got from your 
trac-all.log:


build-stamp.txt: freesurfer-Linux-centos6_x86_64-stable-pub-v5.3.0

a.y

On Wed, 17 Dec 2014, Katherine Damme wrote:


Thanks! That was exactly it! It was a FAT server and so that resolved that 
issue.

Tracula is claiming that the bvecs and bvals don't have the same number of 
entries. These were the bvecs and bval files created during the
trac-all prep process, but when I preprocesed the data previously with FSL the 
bvecs and bvals that were created did have equal numbers. I
tried to specify to use these fsl made bvecs and bvals in the configuration 
file and it continues to default to the ones that it made.

 Any ideas?

Thank you!

Kate

On Mon, Dec 15, 2014 at 7:42 PM, Watson, Christopher 
christopher.wat...@childrens.harvard.edu wrote:
  I think certain filesystems don't support sym linking (e.g. FAT32). So 
that might be it.

  
  From: freesurfer-boun...@nmr.mgh.harvard.edu 
[freesurfer-boun...@nmr.mgh.harvard.edu] on behalf of Katherine Damme
  [katherine.da...@gmail.com]
  Sent: Monday, December 15, 2014 5:29 PM
  To: Anastasia Yendiki
  Cc: Freesurfer support list
  Subject: Re: [Freesurfer] From bedpostX and recon-all to tracula

  After removing this I have a new (possibly unrelated error):
  mv -f /media/Sokol/Subj/041/dmri/bvecs 
/media/Sokol/Subj/041/dmri/bvecs.norot
  xfmrot /media/Sokol/Subj/041/dmri/dwi.ecclog 
/media/Sokol/Subj/041/dmri/bvecs.norot /media/Sokol/Subj/041/dmri/bvecs
  ln -sf /media/Sokol/Subj/041/dmri/dwi.nii.gz 
/media/Sokol/Subj/041/dmri/data.nii.gz
  ln: creating symbolic link `/media/Sokol/Subj/041/dmri/data.nii.gz': 
Operation not permitted

  This persists even when I run the command as the root user and regardless 
of the permissions settings of the folder and the
  fdwi.nii.gz file.

  Any ideas?

  On Mon, Dec 15, 2014 at 3:07 PM, Anastasia Yendiki 
ayend...@nmr.mgh.harvard.edumailto:ayend...@nmr.mgh.harvard.edu wrote:

  It's hard to tell what's causing the error without seeing the entire 
trac-all.log. However, by glancing at your config file
  you seem to still have B0 inhomogeneity correction turned on (dob0 = 1) 
but without specifying any field map dicoms. I'd turn
  it off and see if that fixes it.


  On Mon, 15 Dec 2014, Katherine Damme wrote:

  Where would I be specifying a directory as an input/output?

  I used the following cmd: /usr/local/freesurfer/bin/trac-all -prep -c 
dmri.fy

  On Sun, Dec 14, 2014 at 7:12 PM, Bruce Fischl 
fis...@nmr.mgh.harvard.edumailto:fis...@nmr.mgh.harvard.edu wrote:
        Hi Katerine

        the COR-* format is an old one that we don't use anymore. If you 
specify a directory as an
        input/output we will assume that it contains COR files, which is 
probably what you are seeing.

        cheers
        Bruce


        On Sun, 14 Dec 2014, Katherine Damme wrote:

              At what point is the COR-*.info file made?
              I got the following error:

              corRead(): can't open file /media/Sokol/Subj/COR-.info
              $Id: mri_convert.c,v 1.179.2.7 2012/09/05 21:55:16 mreuter 
Exp $
              reading from /media/Sokol/Subj/...
              Linux 
kate.ad.wcas.northwestern.eduhttp://kate.ad.wcas.northwestern.edu 
2.6.32-431.3.1.el6.x86_64 #1 SMP Fri Dec
              13 06:58:20 EST 2013 x86_64 x86_64 x86_64 GNU/Linux

              trac-preproc exited with ERRORS at Fri Dec 12 12:54:40 CST 
2014

              [ksd770@kate 041]# ls /media/Sokol/Subj/COR-*

              On Thu, Dec 11, 2014 at 2:48 PM, Anastasia Yendiki
              
ayend...@nmr.mgh.harvard.edumailto:ayend...@nmr.mgh.harvard.edu wrote:

                    No, those are field maps used to correct for 
inhomogeneities in
                    the main magnetic field (which in MRI lingo is referred 
to as
                    the B0 field, not to be confused with the b=0 images). 
You can
                    skip that correction (you have to skip it if you don't 
have
                    field maps).

                    On Thu, 11 Dec 2014, Katherine Damme wrote:

                          I am sorry, I am a bit confused. What am I 
supposed
                          to be specifying under
                          the b0mlist and b0plist?

                          I thought that it was the B0 low-b image from
  

Re: [Freesurfer] TRACULA pathway recon failure

2014-12-18 Thread Anastasia Yendiki


Hi Emad - By default, tracula will use aparc+aseg_mask and NOT 
lowb_brain_mask. So you should make sure aparc+aseg_mask contains the 
right amount of brain, and then rerun the steps of trac-all that come 
after the -mask step.


a.y

On Tue, 16 Dec 2014, Emad Ahmadi wrote:


Hi Anastasia,

I’ve attached another case in which part of the left frontal pole is 
removed from the lowb image by FSL BET (opposite of the previous two 
cases: now lowb is cut too much). As you can see in the last slide, 
registration of the two masks (aparc+aseg_mask and lowb_brain_mask) are 
a bit off because of this cut. Can this little offset be the reason of 
pathways recon failure?


Yours,
Emad

On Dec 16, 2014, at 10:40 AM, Emad Ahmadi e...@nmr.mgh.harvard.edu wrote:


Hello Anastasia,

I’m reconstructing tracts in a case with subdural hemorrhage, and two pathways are 
not reconstructed (lh.ccg  rh.slft). I found out that the hemorrhage is not 
included in the structural brain masks, but is included in the diffusion brain 
masks (please see the attachment). Now I want to remove the hemorrhage from the 
diffusion brain mask and re-run the pathway recon.

Now my question is: which mask(s) in diffusion space should I “shrink” (i.e. 
remove the hemorrhage), and which steps should I re-run.

Thank you so much,
Emad


Emad Ahmadi, MD
---
Research Fellow
Department of Radiology
Massachusetts General Hospital
Harvard Medical School

25 New Chardon Street, Suite 400
Boston, MA 02114
Tel: 617 726 5237
Email: e...@nmr.mgh.harvard.edu



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[Freesurfer] Tracula: missing or incomplete tracts

2014-12-18 Thread Eileen Moore
Hi - I'm having difficulty with missing or incomplete tracts most of my
subjects. I'm hoping for suggestions on where I can look for data
problems.  The majority of my subjects have at least one missing/incomplete
tract, but the specific problematic tract varies across subjects (e.g., one
subject has a missing L.Uncinate; another subject has a missing Forceps
Major; another is missing the ILF bilaterally, etc.).  For my problematic
tracts, the path.pd.nii.gz is a single line/curve rather than the diffuse
volumetric distribution.  I'm not sure how to correct this.

I have checked my eigenvectors -- the lines appear to be pointing in the
correct directions in my dtifit_V1 -- so I believe my gradient table is
correct

I've checked my images for motion via visual inspection and by excluding
any subjects with dwi_motion outliers in AvgTranslation, AvgRotation,
PercentBadSlices, and AvgDropoutScore.

I inspected the nodif_brain_mask.nii.gz  to look for chunks of missing
brain and did not identify any problems here.

I've tried increasing the number of control points for each tract.

I'd very much appreciate any suggestions on how to troubleshoot next.

Thank you,
Eileen.
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Re: [Freesurfer] Different significant regions with different cluster wise thresholds

2014-12-18 Thread Bronwyn Overs

Hi Doug,

Thanks, that makes it very clear.

Kind regards,

Bronwyn Overs
Research Assistant

Neuroscience Research Australia

Neuroscience Research Australia
Margarete Ainsworth Building
Barker Street Randwick Sydney NSW 2031 Australia
*M* 0411 308 769 *T* +61 2 9399 1883 *F* +61 2 9399 1265

neura.edu.au http://neura.edu.au

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On 19/12/2014 4:52 am, Douglas N Greve wrote:

OK, I've figured out what's going on. The cluster @ threshold of 1.3 in
superior temporal breaks up into 3 very small clusters when the
threshold is changed to 2.0, none of which are significant. There is a
cluster in middle temporal at 1.3 but it is not very significant
(p=.17), but it stays a single cluster when the threshold is changed to
2.0. The size of the cluster drops by a factor of 2 but it is still
large enough to be significant (p=.043). This is just one of the
problems with the cluster method.

doug

On 12/17/2014 05:52 PM, Bronwyn Overs wrote:

Hi Doug,

The problem is with the int_genderXgroup contrast (between .05  .01
cluster forming thresholds).

Kind regards,

Bronwyn Overs
Research Assistant

Neuroscience Research Australia

Neuroscience Research Australia
Margarete Ainsworth Building
Barker Street Randwick Sydney NSW 2031 Australia
*M* 0411 308 769 *T* +61 2 9399 1883 *F* +61 2 9399 1265

neura.edu.au http://neura.edu.au

Follow @neuraustralia on twitter
https://twitter.com/neuraustraliaFollow NeuRA on facebook
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On 18/12/2014 4:42 am, Douglas N Greve wrote:

There are a bunch of contrasts there. Which one had the discrepancy?
doug

On 12/15/2014 07:43 PM, Bronwyn Overs wrote:

Hi Douglas,

I uploaded my glmdir to you on the 3/12/14 (named
site-gender-group-prothaplotype.area.lh.glmdir.zip). Can you see what
the problem is?

Kind regards,

Bronwyn Overs
Research Assistant

Neuroscience Research Australia

Neuroscience Research Australia
Margarete Ainsworth Building
Barker Street Randwick Sydney NSW 2031 Australia
*M* 0411 308 769 *T* +61 2 9399 1883 *F* +61 2 9399 1265

neura.edu.auhttp://neura.edu.au

Follow @neuraustralia on twitter
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On 27/11/2014 1:31 pm, Bronwyn Overs wrote:

Thanks Douglas, I will upload it then.

Kind regards,

Bronwyn Overs
Research Assistant

Neuroscience Research Australia

Neuroscience Research Australia
Margarete Ainsworth Building
Barker Street Randwick Sydney NSW 2031 Australia
*M* 0411 308 769 *T* +61 2 9399 1883 *F* +61 2 9399 1265

neura.edu.auhttp://neura.edu.au

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On 27/11/2014 1:30 pm, Douglas Greve wrote:

Through the file drop at the end of this email. But you might want
to wait until next week as I will be out of the office until Dec 4.
doug

On 11/26/14 12:50 AM, Bronwyn Overs wrote:

Hi Douglas,

How exactly should I upload the glmdir?

Kind regards,

Bronwyn Overs
Research Assistant

Neuroscience Research Australia

Neuroscience Research Australia
Margarete Ainsworth Building
Barker Street Randwick Sydney NSW 2031 Australia
*M* 0411 308 769 *T* +61 2 9399 1883 *F* +61 2 9399 1265

neura.edu.auhttp://neura.edu.au

Follow @neuraustralia on twitter
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https://www.facebook.com/NeuroscienceResearchAustraliaSubscribe
to the NeuRA Magazine
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On 11/11/2014 4:19 am, Douglas N Greve wrote:

Can you upload the gtlmdir and I'll take a look?

On 11/06/2014 08:19 PM, Bronwyn Overs wrote:

I believe it is the cluster-forming threshold. I was running the
following:
mri_glmfit-sim --glmdir site-gender-group-prothaplotype.glmdir --cache
1.3 abs --cwpvalthresh  0.05 --2spaces
mri_glmfit-sim --glmdir site-gender-group-prothaplotype.glmdir --cache
2 abs --cwpvalthresh  0.05 --2spaces

Kind regards,

Bronwyn Overs
Research Assistant

Neuroscience Research Australia

Neuroscience Research Australia
Margarete Ainsworth Building
Barker Street Randwick Sydney NSW 2031 Australia
*M* 0411 308 769 *T* +61 2 9399 1883 *F* +61 2 9399 1265

neura.edu.auhttp://neura.edu.au

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On 7/11/2014 4:03 am, Douglas N Greve wrote:

Do