[Freesurfer] average values per cluster

2015-01-26 Thread maaike rive
Dear Freesurfer experts,
Sorry to bother you again, but I have two more questions about extracting 
(thickness/surface/GI) values from a certain cluster.
As I understood, the abs.y.ocn.dat file gives the average values for a given 
significant cluster (e.g. a cluster where there is a significant AxB 
interaction).
I may be completely misunderstanding things, but if I use these values in SPSS 
for further statistics and test the same interaction (AxB), than according to 
SPSS this interaction is not significant (corrected for the same covariates as 
in the FSGD file). 
Could you tell me what is going wrong here? I do not trust my results now.
Furthermore, is it possible (and if so, how?) to extract the average values of 
exactly the same cluster, but in an independent group not used in the analysis, 
for post-hoc comparisons in SPSS?
Thanks,
Maaike___
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Re: [Freesurfer] average values per cluster

2015-01-26 Thread Douglas N Greve

We get these kind of reports occasionally. When I ask people to confirm 
that they use exactly the same design matrix in SPSS, I never hear back, 
so I assume that it gets resolved. So please check. The other thing you 
can do is to run in matlab, something like

cd glmdir/contrast
X = load('Xg.dat');
y = load('ocn.dat');
C = load('C.dat');
[beta rvar] = fast_glmfit(y,X);
[F p] = fast_fratio(beta,X,rvar,C);
p will be the p-value

If you used an unsigned cluster-forming threshold (ie, abs), then it is 
possible that some of the voxels are pos and some are neg so that they 
average out

doug




On 01/26/2015 09:03 AM, maaike rive wrote:
 Dear Freesurfer experts,

 Sorry to bother you again, but I have two more questions about 
 extracting (thickness/surface/GI) values from a certain cluster.

 As I understood, the abs.y.ocn.dat file gives the average values for a 
 given significant cluster (e.g. a cluster where there is a significant 
 AxB interaction).

 I may be completely misunderstanding things, but if I use these values 
 in SPSS for further statistics and test the same interaction (AxB), 
 than according to SPSS this interaction is /not /significant 
 (corrected for the same covariates as in the FSGD file).

 Could you tell me what is going wrong here? I do not trust my results now.

 Furthermore, is it possible (and if so, how?) to extract the average 
 values of exactly the same cluster, but in an independent group not 
 used in the analysis, for post-hoc comparisons in SPSS?

 Thanks,

 Maaike


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Re: [Freesurfer] vertex-wise covariate for gyrification index

2015-01-26 Thread Douglas N Greve
QDEC does not allow it, but you can do it with mri_glmfit with the --pvr 
option. Run mri_glmfit with --help to get more info.
doug

On 01/25/2015 11:16 AM, angela.fav...@unipd.it wrote:
 Hi all,
 I wrote a paper about gyrification in a sample of malnourished patients. I
 found only little overlap between maps of significantly rediced cortical
 thickness and maps of significantly reduced gyrification index (in
 comparison to a group of healthy controls).
 One of the reviewer raised the question that this is not sufficient to
 demonstrate that reduced gyrification is not due to reduced cortical
 thickness (or GM volume) and suggest to perform a between group analysis
 using cortical thickness (or volume) maps as vertex-wise covariates.
 Is it possible to perform this type of analysis? I believe that QDEC does
 not allow it

 Thank you

 Angela





 Hi Maria

 it's really hard to say - you'll need to try it out. There aren't strong
 prior constraints on skull shape, but if the shape of the brain is too
 different, things may degrade

 Bruce


 On Fri, 23 Jan 2015, Maria Holland wrote:

 Hi all,
 I am starting a project analyzing patients with cranial deformities.
 How
 robust is the automatic cortical reconstruction process - i.e., would it
 be
 able to handle deformed skulls?  Similar to this picture:

 http://upload.wikimedia.org/wikipedia/commons/1/1f/Single_suture_synostosis
 .png

 I am also wondering about the possibility of getting information about
 the
 intermediate steps of the local gyrification calculation.  Like, could
 we
 get information on the pial and outer pial surface paths on each
 individual
 slice, before that information is turned into a 3D surface?

 Thanks for your help!

 ~ Maria

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Re: [Freesurfer] cortical thickness analysis

2015-01-26 Thread Douglas N Greve
what is your mri_glmfit-sim command line? Try running it with --cwp 1 to 
get all clusters regardless of their p-value
doug

On 01/23/2015 04:01 PM, Hirsch, Gabriella wrote:

 Hi freesurfer experts,

 I have a question I was hoping someone could help me with;

 I am currently analysing the cortical thickness of two subject 
 populations (patient and control) using the group analysis tutorial 
 (https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/GroupAnalysisDng).

 However, when I ran the processing stream for the clusterwise 
 correction for multiple comparisons, all my visualized clusters all 
 disappeared (using tksurfer or freeview) and no clusters showed to be 
 significant in the CWP column of the cluster summary txt file 
 (NClusters=0). I have played around with the thresholds but it doesn't 
 seem to make much of a difference. For what it's worth, I'm using a 
 simple t-test contrast.

 Any thoughts as to what is going on?

 Similarly, is there any way of accessing p-values of uncorrected clusters?

 Thanks so much for your help.

 Best,

 Gabriella



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Re: [Freesurfer] Some questions about fsaverage

2015-01-26 Thread Douglas N Greve

You'll need to get a copy of mri_surf2surf.{linux,mac}. It was there all 
the time I just did not put it on the installation page. I've updated 
the page with this link

ftp://surfer.nmr.mgh.harvard.edu/pub/dist/freesurfer/5.1.0/xhemi/mri_surf2surf.{linux,mac}


When you re-run delete the xhemi folder if it exists.


On 01/23/2015 12:32 PM, Alexandre Routier wrote:
 Hello everyone,

 I have a new question concerning fsaverage: I would like to perform 
 some asymmetry analyses but I noticed that the left and right 
 hemispheres were not symmetric.

 I found here ( https://surfer.nmr.mgh.harvard.edu/fswiki/Xhemi ) how 
 to register a subject to fsaverage_sym but I have some issues.
 surfreg --s $subject --t fsaverage_sym --lh worked fine (see first 
 log file)  and the ${subject}/xhemi/surf/ folder is empty.
 Then surfreg --s $subject --t fsaverage_sym --lh --xhemi (see second 
 log file) didn't work because ${subject}/xhemi/surf/lh.sphere was not 
 found. Did I miss something ? I modified FS 5.1 thanks to the section 
 Installation concerning my configuration.

 Moreover, I cannot test yet but I would like to know if the following 
 commands will work for a single subject:
 mris_preproc --target fsaverage_sym --hemi lh \
   --xhemi --paired-diff \
   --srcsurfreg fsaverage_sym.sphere.reg \
   --meas thickness \
   --out lh.lh-rh.thickness.sm00.mgh \
   --s ${name_subject}

 # Smooth e.g. 10mm of the surface
 mris_fwhm --s ${name_subject} --hemi lh --cortex --smooth-only --fwhm 
 10 --i lh.lh-rh.thickness.sm00.mgh --o lh.lh-rh.thickness.sm10.mgh

 # Analyze
 mri_glmfit --y lh.lh-rh.thickness.sm10.mgh --glmdir 
 glm.lh.lh-rh.thickness.sm10 --osgm --surf ${name_subject} lh

 I slightly modified the commands on the tutorial for my needs but I 
 can't check for the moment.

 Thanks in advance for your help.

 Best regards,
 Alexandre


 2014-12-05 12:09 GMT+01:00 Alexandre Routier 
 alexandre.rout...@gmail.com mailto:alexandre.rout...@gmail.com:

 Hello,

 Thanks for your answers :)

 mri_annotation2label enabled me to convert the ROI of Desikan
 Atlas as I wanted and the Brodmann were indeed in
 $FREESURFER_HOME/subjects/fsaverage/label .

 Have a nice day,
 Alexandre


 2014-12-04 23:01 GMT+01:00 Bruce Fischl
 fis...@nmr.mgh.harvard.edu mailto:fis...@nmr.mgh.harvard.edu:

 Hi Alexandre

 I'm not entirely sure what you are asking, but the fsaverage
 Brodmann areas and parcellations should all be stored in the
 directory:

 $FREESURFER_HOME/subjects/fsaverage/label

 cheers
 Bruce



 On Thu, 4 Dec 2014, Alexandre Routier wrote:

 Hello,

 I am currently working with cortical thickness and more
 particularly with
 the fsaverage. Since the thickness has the same number of
 voxel, I would
 like to correspond the voxels with some ROI, for instance the
 Desikan-Killiany Atlas or the Brodmann area.

 Are they any label or text files which correspond a ROI
 with the indices of
 the voxels in fsaverage ?

 Thanks in advance for you help,
 Alexandre


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Re: [Freesurfer] FREESURFER] ERROR: matrix is ill-conditioned or badly scaled, condno = 164365

2015-01-26 Thread Douglas N Greve

Try demeaning your covariates. Do so on a sample-wise basis (ie, compute 
the mean age across all subjects, then subtract that mean from all ages)
doug

On 01/14/2015 07:30 PM, i_geschwind2013 wrote:
 /Hello/
 /I’m trying to do an group analysis using mir_glmfit but I met this error./
 ERROR: matrix is ill-conditioned or badly scaled, condno = 165279

 1. my command line was

 mri_glmfit --y lh.age_edu.thickness.10b.mgh --fsgd age_edu.fsgd --C 
 C_age.edu.mtx --surf fsaverage lh --cortex --glmdir lh.age_edu.glmdir

 2. I attached the fsgd file, which was made in edit. It contains 1 
 class (2 levels) and 2 variables (age  education)

 3. contrast is ‘-1 1 0 0 0 0’
 4. design matrix is like below
 Design matrix --
  1.000   0.000   74.000 0.000   14.000   0.000;
  1.000   0.000   70.000 0.000   12.000   0.000;
  1.000   0.000   73.000 0.000   6.000   0.000;
  1.000   0.000   84.000 0.000   15.000   0.000;
  0.000   1.000   0.000 60.000   0.000   12.000;
  0.000   1.000   0.000 59.000   0.000   12.000;
  0.000   1.000   0.000 63.000   0.000   9.000;
  0.000   1.000   0.000 60.000   0.000   12.000;
 
 ERROR: matrix is ill-conditioned or badly scaled, condno = 164365

 Possible problem with experimental design:
 Check for duplicate entries and/or lack of range of
 continuous variables within a class.
 If you seek help with this problem, make sure to send:
   1. Your command line:
 mri_glmfit --y lh.age_edu.thickness.10b.mgh --fsgd age_edu.fsgd 
 --C C_age.edu.mtx --surf fsaverage lh --cortex --glmdir lh.age_edu.glmdir
   2. The FSGD file (if using one)
   3. And the design matrix above



 thanks,

 H.A. LEE




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Re: [Freesurfer] mri_cnr and bash

2015-01-26 Thread Jacek Manko
Dear all,

I have come up with a pretty good preliminary solution namely:

I run the first loop that returns me CNR and some other stuff from the command 
mri_cnr. It creates one txt. file for each subject.

for i in *3T; do mri_cnr $i/surf $i/mri/norm.mgz   $i/$i_cnr.txt; done

(All of my subjects' names contain the expression 3T, so if someone would like 
to use it, just adjust it properly)

The second loop gives me a single txt. file with the list of cnr value only 
(that is 'total CNR'). However, without subjects ID. I couldnt figure it out 
yet, how to do this.

for i in $(find . -name *cnr.txt); do awk 'NR==8 {print $4}' $i  
cnr_sample.txt; done

But all in all, I would say the problem is more or less solved, so thanks 
everybody for your input.


Cheers,
Jacek




 gray/white CNR is the first column
 On Thu, 22 Jan 2015, Jacek Manko wrote:
 
  Dear Dr. Greve, dear Dr. Fischl
 
  would something like this work?
 
  set cnr = `mri_cnr $SUBJECTS_DIR/$subject/surf
  $SUBJECTS_DIR/$subject/mri/norm.mgz | grep total | awk '{print $4}'`
  echo $subject $cnr  yourfile
 
  Unfortunately it doesnt. I was trying to modify the paths, but got 
 always results like:
 
  MRISread(/surf/lh.white): could not open file
  No such file or directory
  mri_cnr: could not read surface file /surf/lh.white
  No such file or directory
 
  and @Dr. Fischl
 
  actually if you run mri_cnr with -l out.log it will write a line to
  out.log
  of the form:
 
  gray_white_cnr gray_csf_cnr white_mean gray_mean csf_mean
  sqrt(white_var) sqrt(gray_var) sqrt(csf_var))
 
 
  so you would create one file for each subject. You could then run a for
  loop over your subjects to cat them into a single file
 
 
 
  Indeed, but I dont quite get it, how to extract CNR from these values.
 
 
  Thanks,
 
 
  Cheers,
  Jacek Manko
 
  On 01/21/2015 02:46 PM, Jacek Manko wrote:
  My desirable output would be then a .txt file that consists of merely
  two columns. The first column is the subject's ID and the second is the
  CNR value only, for example:
 
  bruce 1.602
  bert 1.555
  john_doe 1.666
 
  Thanks in advance.
 
  Cheers,
  Jacek
 
  Dnia 21-01-2015 o godz. 20:34 Bruce Fischl napisał(a):
  Hi Jacek
 
  if you give us an example of what the desired output would be for you it
  would just be a couple of minutes to put it in the code. Or maybe someone
  can post some sed code (or some easy alternative) to parse the CNR out of
  the output.
 
  Bruce
 
 
  On Wed,
  21 Jan 2015, Jacek Manko wrote:
 
  Oh, I thought it was already defined. I am referring actually to this
  thread...
  https://mail.nmr.mgh.harvard.edu/pipermail//freesurfer/2012-August/025251.html
 
  ...and, allowing myself to specify my problem, when I type the command
  'mri_cnr' what I become in my terminal is something more or less like
  that:
  
  mri_cnr ~/local_subjects/bruce/surf 
  ~/local_subjects/bruce/mri/norm.mgz
  processing MRI volume
  /homes/4/fischl/local_subjects/bruce/mri/norm.mgz...
   white = 95.8+-9.7, gray = 65.3+-17.9, csf = 40.1+-17.2
   gray/white CNR = 2.241, gray/csf CNR = 1.026
  lh CNR = 1.633
   white = 95.7+-9.9, gray = 65.5+-17.8, csf = 41.5+-17.4
   gray/white CNR = 2.205, gray/csf CNR = 0.937
  rh CNR = 1.571
  total CNR = 1.602
  
 
  My question is, if there is a way to export the CNR value, that is
  1.602, to a seperate file alongside with the subject's ID. I suppose
  there are no such bulit-in commands in FreeSurfer, is that right?
  Thanks.
 
 
  Cheers,
  Jacek Manko
 
 
 
  Dnia 21-01-2015 o godz. 18:38 Douglas N Greve napisał(a):
  how do you want to define CNR?
 
  On 01/21/2015 06:21 AM, Jacek Manko wrote:
  Dear All,
 
  I have been wondering if there is a way (already implemented in the
  FreeSurfer) to export CNR measurement outputs to seperate file, like a
  table or someting. If not, it will possible only via some pretty
  advanced bash scripting, am I right? If so, has anyone some experience
  with that matter?
  Thanks.
 
  Cheers,
  Jacek Manko
 
 
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[Freesurfer] extracting pvalues

2015-01-26 Thread Hirsch, Gabriella
Hi FreeSurfer experts,

Is there a way to extract significant pvalues from sig.mgh files (Obtained from 
the  GroupAnalysisDng tutorial)?

I've looked online but having trouble. Somehow mris_covert isn't working.

Thanks!

Gabriella
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Re: [Freesurfer] vertex-wise covariate for gyrification index

2015-01-26 Thread angela . favaro
Hi Doug,
thank you for this hint.
I have included --pvr in my mri_glmfit command using a stack of cortical
thickness maps of the same hemisphere (and same subjects in the same
order). I also added a column in my design matrix. It seems to work. Only
when I use the mri_glmfit-sim command, this message appears:

WARNING: unrecognized mri_glmfit cmd option --pvr

WARNING: unrecognized mri_glmfit cmd option /qdec/lh_LGI_vtw/thick.mgh

but everything seems to work anyway (and clusters of differences do not
disappear!!).
Is it all correct?

Thank you for your help!

Angela


 QDEC does not allow it, but you can do it with mri_glmfit with the --pvr
 option. Run mri_glmfit with --help to get more info.
 doug

 On 01/25/2015 11:16 AM, angela.fav...@unipd.it wrote:
 Hi all,
 I wrote a paper about gyrification in a sample of malnourished patients.
 I
 found only little overlap between maps of significantly rediced cortical
 thickness and maps of significantly reduced gyrification index (in
 comparison to a group of healthy controls).
 One of the reviewer raised the question that this is not sufficient to
 demonstrate that reduced gyrification is not due to reduced cortical
 thickness (or GM volume) and suggest to perform a between group analysis
 using cortical thickness (or volume) maps as vertex-wise covariates.
 Is it possible to perform this type of analysis? I believe that QDEC
 does
 not allow it

 Thank you

 Angela





 Hi Maria

 it's really hard to say - you'll need to try it out. There aren't
 strong
 prior constraints on skull shape, but if the shape of the brain is too
 different, things may degrade

 Bruce


 On Fri, 23 Jan 2015, Maria Holland wrote:

 Hi all,
 I am starting a project analyzing patients with cranial deformities.
 How
 robust is the automatic cortical reconstruction process - i.e., would
 it
 be
 able to handle deformed skulls?  Similar to this picture:

 http://upload.wikimedia.org/wikipedia/commons/1/1f/Single_suture_synostosis
 .png

 I am also wondering about the possibility of getting information about
 the
 intermediate steps of the local gyrification calculation.  Like, could
 we
 get information on the pial and outer pial surface paths on each
 individual
 slice, before that information is turned into a 3D surface?

 Thanks for your help!

 ~ Maria

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 gr...@nmr.mgh.harvard.edu
 Phone Number: 617-724-2358
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[Freesurfer] Extract mean time series from parcellated region

2015-01-26 Thread sabin khadka
Hi FS user,
I am trying to extract time series of fmri rest data of certain parcellated 
regions (both cortical and subcortical). for that I am doing following

# bbregister --s sub id --mov EPI.nii.gz --init-fsl --reg register.dat 
--bold# mri_label2vol --aparc+aseg --subject sub id --temp EPI.nii.gz 
--fillthresh 0.5 --reg regsiter.dat --o test1.nii.gz
# mri_vol2vol --mov test1.nii.gz --targ sub id/mri/aparc+aseg.mgz --reg 
register.dat --o test2.nii.gz# mri_segstats --seg sub id/mri/aparc+aseg.mgz 
--id e.g. 11 for L caudate --in test2.nii.gz --avgwf textfile.txt
I am not able to get the mean time series values. Could anyone tell me what I 
am missing?
 Cheers,
Sabin Khadka___
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[Freesurfer] Extraction of T2 map statistics-per-segment

2015-01-26 Thread Ben Eliezer, Noam
Hello —

I’m trying to extract quantitative T2 values for different brain segments.
I’ve converted my T2 set of DICOMs to .mgz format using mri_convert and loaded 
them into freeview.
 mri_convert -it siemens_dicom -ot mgz T2_maps_Dir/slice_1_T2_map.dcm 
 T2_in_mgz.mgz

After loading T2_in_mgz.mgz to Freeview the T2 maps seem to coincide very well 
with the segmentation maps (aseg+aparc-in-rawavg.mgz).

My questions are:

1. Should I have applied some pre-registration operation on the T2 maps before 
loading them into freeview,
or does the fact that they coincide with the segmentation maps mean that I 
don’t need to apply any registration?

2. How can I extract mean T2 values for different segments? (not the usual 
volume-per-segment)


Much obliged!
 — Noam




--
Noam Ben-Eliezer, PhD
Adjunct Assistant Professor of Radiology
Center for Biomedical-Imaging
New-York University Medical School
noam.ben-elie...@nyumc.orgmailto:noam.ben-elie...@nyumc.org


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Re: [Freesurfer] extracting pvalues

2015-01-26 Thread Douglas Greve


what do you mean? Just a list of values? the column, row, slice as well?

On 1/26/15 4:02 PM, Hirsch, Gabriella wrote:


Hi FreeSurfer experts,

Is there a way to extract significant pvalues from sig.mgh files 
(Obtained from the  GroupAnalysisDng tutorial)?


I've looked online but having trouble. Somehow mris_covert isn't working.

Thanks!

Gabriella



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Re: [Freesurfer] Extract mean time series from parcellated region

2015-01-26 Thread Douglas Greve


what do you mean you can't get them? The program fails? It produces 0s?

On 1/26/15 3:48 PM, sabin khadka wrote:

Hi FS user,

I am trying to extract time series of fmri rest data of certain 
parcellated regions (both cortical and subcortical). for that I am 
doing following


# bbregister --s sub id --mov EPI.nii.gz --init-fsl --reg 
register.dat --bold
# mri_label2vol --aparc+aseg --subject sub id --temp EPI.nii.gz 
--fillthresh 0.5 --reg regsiter.dat --o test1.nii.gz
# mri_vol2vol --mov test1.nii.gz --targ sub id/mri/aparc+aseg.mgz 
--reg register.dat --o test2.nii.gz
# mri_segstats --seg sub id/mri/aparc+aseg.mgz --id e.g. 11 for L 
caudate --in test2.nii.gz --avgwf textfile.txt
I am not able to get the mean time series values. Could anyone tell me 
what I am missing?

Cheers,
Sabin Khadka


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Re: [Freesurfer] vertex-wise covariate for gyrification index

2015-01-26 Thread Douglas Greve

That's fine. mri_glmfit-sim has a little anxiety when it finds 
mri_glmfit options it does not recognize.
doug

On 1/26/15 5:00 PM, angela.fav...@unipd.it wrote:
 Hi Doug,
 thank you for this hint.
 I have included --pvr in my mri_glmfit command using a stack of cortical
 thickness maps of the same hemisphere (and same subjects in the same
 order). I also added a column in my design matrix. It seems to work. Only
 when I use the mri_glmfit-sim command, this message appears:

 WARNING: unrecognized mri_glmfit cmd option --pvr

 WARNING: unrecognized mri_glmfit cmd option /qdec/lh_LGI_vtw/thick.mgh

 but everything seems to work anyway (and clusters of differences do not
 disappear!!).
 Is it all correct?

 Thank you for your help!

 Angela


 QDEC does not allow it, but you can do it with mri_glmfit with the --pvr
 option. Run mri_glmfit with --help to get more info.
 doug

 On 01/25/2015 11:16 AM, angela.fav...@unipd.it wrote:
 Hi all,
 I wrote a paper about gyrification in a sample of malnourished patients.
 I
 found only little overlap between maps of significantly rediced cortical
 thickness and maps of significantly reduced gyrification index (in
 comparison to a group of healthy controls).
 One of the reviewer raised the question that this is not sufficient to
 demonstrate that reduced gyrification is not due to reduced cortical
 thickness (or GM volume) and suggest to perform a between group analysis
 using cortical thickness (or volume) maps as vertex-wise covariates.
 Is it possible to perform this type of analysis? I believe that QDEC
 does
 not allow it

 Thank you

 Angela





 Hi Maria

 it's really hard to say - you'll need to try it out. There aren't
 strong
 prior constraints on skull shape, but if the shape of the brain is too
 different, things may degrade

 Bruce


 On Fri, 23 Jan 2015, Maria Holland wrote:

 Hi all,
 I am starting a project analyzing patients with cranial deformities.
 How
 robust is the automatic cortical reconstruction process - i.e., would
 it
 be
 able to handle deformed skulls?  Similar to this picture:

 http://upload.wikimedia.org/wikipedia/commons/1/1f/Single_suture_synostosis
 .png

 I am also wondering about the possibility of getting information about
 the
 intermediate steps of the local gyrification calculation.  Like, could
 we
 get information on the pial and outer pial surface paths on each
 individual
 slice, before that information is turned into a 3D surface?

 Thanks for your help!

 ~ Maria

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 HelpLine at
 http://www.partners.org/complianceline . If the e-mail was sent to you
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 --
 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] longitudinal pipeline

2015-01-26 Thread Inkyung Song
Hi Freesurfer Experts,

Is the longitudinal pipeline still recommended for the DTI data analysis if 
structural changes occur at different time points (e.g., pre and 
post-treatment)? Or is it better to use the standard pipeline? Are other 
options available?

Thanks so much!
Song
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