[Freesurfer] sequence]

2007-12-03 Thread Roberto Roiz Ssantiáñez


Hello all, I’m a new user of FreeSurfer. We would like to start
processing a large number of the scans. We have acquired three different 
sequences using a 1.5T GE scanner (a three dimensional T1-weighted SPGR 
sequence, and two dimensional PD and T2 sequences). We have already 
processed those sequences using BRAINS2, and we have obtained a
segmented image. I was wondering which sequence would fit best with 
FreeSurfer:

1) The T1-weighted SPGR sequence.

2) The T1-weighted SPGR sequence and the PD sequence together.

3) The segmented image obtained using BRAINS2.

Thanks a lot

Roberto Roiz



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Re: [Freesurfer] sequence]

2007-12-03 Thread Bruce Fischl

Hi Roberto,

most of our stuff only works on the T1 (i.e. option 1). In general the 
T2/PD is impossible to register accurately to the T1, which is why we 
haven't used it in the past. We have some new sequences developed by Andre 
van der Kouwe that resolve this problem, but they aren't widely used yet.


cheers,
Bruce


On Mon, 3 Dec 2007, 
Roberto Roiz Ssantiáñez wrote:





Hello all, I’m a new user of FreeSurfer. We would like to start
processing a large number of the scans. We have acquired three different
sequences using a 1.5T GE scanner (a three dimensional T1-weighted SPGR
sequence, and two dimensional PD and T2 sequences). We have already
processed those sequences using BRAINS2, and we have obtained a
segmented image. I was wondering which sequence would fit best with
FreeSurfer:

1) The T1-weighted SPGR sequence.

2) The T1-weighted SPGR sequence and the PD sequence together.

3) The segmented image obtained using BRAINS2.

Thanks a lot

Roberto Roiz



__
LLama Gratis a cualquier PC del Mundo.
Llamadas a fijos y móviles desde 1 céntimo por minuto.
http://es.voice.yahoo.com

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[Freesurfer] make_average_subject

2007-12-03 Thread Emily Trittschuh
Dear List,
 
Awhile back Cameron Ellis wrote to the listserv to ask about stats files for
make_average_subject results. 
He was looking for information on the # of vertices and I believe he found
another way to obtain that info.
 
I would like to revert to his orginal question of whether there is any way
to generate an ?.aparc.stats file from the make_average_subject command. 
I have a group of older normal controls that I want to turn into an
average subject. They (as a mean individual) will be used for comparison
with individual patients with an unusual form of dementia. 
It seems that as I move the cursor over the ?.avg_thickness surface it IS
showing local numbers for thickness, but I can't find any stats files that
will provide me with the std dev for these measurements. In addition I would
love to be able to compare the results of the cortical parcellations between
subjects and the average subject.
 
Thank you!
 
Emily
 
Emily Trittschuh, PhD
Neuropsychology Post-doctoral Fellow
Cognitive Neurology and Alzheimer's Disease Center
Northwestern University Feinberg School of Medicine
320 E. Superior Street, Searle 11-579
Chicago, IL 60611
phone 312/503-1155
fax 312/908-8789
 
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Re: [Freesurfer] Retinotopy and MT+ localization analysis help

2007-12-03 Thread Doug Greve
Hi Anisha, when you are debugging these things, it's best to go back as 
close to the raw data as possible (rather than looking at the final 
product on the flat map). Eg, try looking at the eccen and polar 
significance maps separately in the volume, then on the surface, then 
look at the phase maps in the volume and on the surface, etc.


doug

anisha narula wrote:


To whom it may concern,

I am a beginner at FreeSurfer and using it in my senior biomedical 
design project at Boston University.
I have performed retinotopy and MT+ localization before on a previous 
subject and obtained good results.
However, I have carried out retinotopy and MT+ analysis on another 
subject using the same commands and have not obtained
significant results. I have tried the analysis using motion corrected 
and motion uncorrected data, and have obtained bad results both times. 
I have attached the fieldsign image above obtained from the retinotopy 
analysis.
Please let me know, if you would like to see the polar, eccentricity 
or MT+ images as well.

I appreciate your time and concern

Thank You,
Anisha



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MGH-NMR Center
[EMAIL PROTECTED]
Phone Number: 617-724-2358 
Fax: 617-726-7422


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Re: [Freesurfer] make_average_subject

2007-12-03 Thread Doug Greve
If you want to do stats on your cohort, you should use mris_preproc and 
mri_glmft using the same subject list as you used to create the average 
subject (you can pass all three programs an fsgd file to make sure that 
you have the same in both). mri_glmfit will give you mean and std 
thickness as well as allow you to test hypotheses.


doug

Emily Trittschuh wrote:


Dear List,
 
Awhile back Cameron Ellis wrote to the listserv to ask about stats 
files for make_average_subject results.
He was looking for information on the # of vertices and I believe he 
found another way to obtain that info.
 
I would like to revert to his orginal question of whether there is any 
way to generate an ?.aparc.stats file from the make_average_subject 
command.
I have a group of older normal controls that I want to turn into an 
average subject. They (as a mean individual) will be used 
for comparison with individual patients with an unusual form of dementia.
It seems that as I move the cursor over the ?.avg_thickness surface it 
IS showing local numbers for thickness, but I can't find any stats 
files that will provide me with the std dev for these measurements. In 
addition I would love to be able to compare the results of 
the cortical parcellations between subjects and the average subject.
 
Thank you!
 
Emily
 
Emily Trittschuh, PhD

Neuropsychology Post-doctoral Fellow
Cognitive Neurology and Alzheimer's Disease Center
Northwestern University Feinberg School of Medicine
320 E. Superior Street, Searle 11-579
Chicago, IL 60611
phone 312/503-1155
fax 312/908-8789
 




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MGH-NMR Center
[EMAIL PROTECTED]
Phone Number: 617-724-2358 
Fax: 617-726-7422


In order to help us help you, please follow the steps in:
surfer.nmr.mgh.harvard.edu/fswiki/BugReporting


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Re: [Freesurfer] Cluster thresholding

2007-12-03 Thread Alexander Fornito
Hi all,
I was hoping someone could help me with the problem below. I'm a little
stuck on my analysis.
Thanks,
Alex


 On 11/28/2007 07:43 PM, Alex Fornito wrote:
 Hi,
 I have run qdec for a simple contrast comparing thickness across the
 cortical surface between a patient and control group. Not much
 survives vertex-wise FDR correction, and I would like to try
 cluster-based thresholding. I would like to make sure I understand the
 inputs to the command. Am I correct on the following?

 --in = the signifcance values (i.e., contrast_name.sig.mgh file)
 --thmin = the vertexwise threshold for determining clusters, where 2
 corresponds to p=.01
 --minarea = the cluster extent threshold - Am I correct in assuming
 this should not be smaller than the smoothing kernel?

 When I run the command below, I get the following output. Only one
 (whole hemi) cluster is identified. I'm not sure if its a problem in
 my command line, or with my data. Also, I seem to have the --cwsig
 flag wrong, but can't figure out the error (appending .w or .label to
 the end of the output filename does not change the error).

 I greatly appreciate your help.


 mri_surfcluster --in qdec/MF_group_lh/contrasts.sig.mgh --subject
 fsaverage --hemi lh --surf white --annot aparc --sign abs --thmin 2
 --minarea 25 --sum stats/qdec_run/cluster/summary.txt --o
 stats/qdec_run/cluster/cluster_output --cwsig
 stats/qdec_run/cluster/cwsig --olab
 stats/qdec_run/cluster/MF_group_lh_thk

 thsign = abs, id = 0
 version $Id: mri_surfcluster.c,v 1.39 2007/07/31 00:34:19 greve Exp $
 hemi   = lh
 srcid  = qdec/MF_group_lh/contrasts.sig.mgh paint
 srcsubjid  = fsaverage
 srcsurf= white
 srcframe   = 0
 thsign = abs
 thmin  = 2
 thmax  = -1
 fdr= -1
 minarea= 25
 xfmfile= talairach.xfm
 nth = -1
 outid= stats/qdec_run/cluster/cluster_output paint
 sumfile  = stats/run2/cluster/summary.txt
 subjectsdir= /data/kang/work/struct/alex/freesurfer/subjects_cann
 FixMNI = 1
 - XFM matrix (RAS2RAS) ---
 /data/kang/work/struct/alex/freesurfer/subjects_cann/fsaverage/mri/transforms/talairach.xfm
  1.000   0.000   0.000   0.000;
  0.000   1.000   0.000   0.000;
  0.000   0.000   1.000   0.000;
  0.000   0.000   0.000   1.000;
 
 Reading source surface
 /data/kang/work/struct/alex/freesurfer/subjects_cann/fsaverage/surf/lh.white
 reading group avg surface area 822 cm^2 from file
 Reading in average area
 /data/kang/work/struct/alex/freesurfer/subjects_cann/fsaverage/surf/lh.white.avg.area.mgh
 Done reading source surface
 Reading annotation
 /data/kang/work/struct/alex/freesurfer/subjects_cann/fsaverage/label/lh.aparc.annot
 reading colortable from annotation file...
 colortable with 35 entries read (originally
 /space/amaebi/26/users/buckner_cortical_atlas/scripts/colortable_final.txt)
 Computing metric properties
 Loading source values
 number of voxels in search space = 163842
 Done loading source values (nvtxs = 163842)
 overall max = 43.1907 at vertex 101931
 overall min = 7.66111 at vertex 28089
 surface nvertices 163842
 surface area 65416.985991
 surface area 65416.985976
 NOT Adjusting threshold for 1-tailed test
 Searching for Clusters ...
 thmin=2.00 (2.00), thmax=-1.00 (-1), thsignid=0,
 minarea=25.00
 Found 1 clusters
 Max cluster size 103339.460938
 INFO: fixing MNI talairach coordinates
 Saving thresholded output to  stats/qdec_run/cluster/cluster_output
 avg = 35.029, stdev = 4.669, min = 7.661, max = 43.191
 Saving cluster pval stats/qdec_run/cluster/cwsig
 unknown file type for file (stats/qdec_run/cluster/cwsig)
 LabelWrite: saving to stats/qdec_run/cluster/MF_group_lh_thk-0001.label



 Alex Fornito
 JN Peters Research Fellow
 Melbourne Neuropsychiatry Centre
 Department of Psychiatry
 The University of Melbourne

 Postal address:
 Melbourne Neuropsychiatry Centre
 National Neuroscience Facility
 Levels 2  3, 161 Barry St
 Carlton South Vic 3053 Australia

 Ph:   +61 3 8344 1861
 Fax:  +61 3 9348 0469

 [EMAIL PROTECTED] mailto:[EMAIL PROTECTED]




 

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[Freesurfer] Error encountered while running selxavg3

2007-12-03 Thread Dan Dillon
Dear FreeSurfers,

 

On my maiden voyage with selxavg3, I've encoutered an error and could use
some help. After processing several subjects successfully, selxavg3 quit
unexpectedly.  Here is the exact message:

 

Warning: matrix is singular to working precision

 In fast_selxavg3 at 208

ntptot = 666, nX = 31, DOF = 635

??? Error using == svd

Input to SVD must not contain NaN or Inf.

 

Error in == cond at 40

   s = svd(A);

 

Error in == fast_selxavg3 at 235

  XCond = cond(XtX);

 

Can anyone help me track down the source of this error and/or suggest a fix?

 

Also, in the course of reviewing the error I saw the following notice:

 

INFO: Key -timeoffset unrecognized, line 7, skipping

 

I have the timeoffset argument set to half a TR in my mkanalysis step
because I included slicetime correction during preprocessing. Does selxavg3
not recognize this option?

 

Thanks in advance for any help you can provide. 

 

Dan Dillon, Ph.D.

Post-doctoral Fellow

Affective Neuroscience Lab

Dept. of Psychology, Harvard University

Phone: (617) 495-1889

E-mail: [EMAIL PROTECTED]

 

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Re: [Freesurfer] Cluster thresholding

2007-12-03 Thread Alex Fornito

Thanks for your help Pratap.
I've actually been trying to follow the tutorial and was running  
simulations initially, but when I tried to re-trace my steps I ended   
omitted them because I forgot they were necessary for mri_surfcluster.


Either way, the results are the same- I still get one whole surface  
cluster as output even after running simulations. In this case, I re- 
ran it copying your commands, except I used perm because I have low  
numbers and no covariates. I also ran 1000 permutations, to get a  
quick initial result for testing. My commands and output are below.


I would appreciate further help on this, as I'm not sure where I'm  
going wrong!


also, I noticed that after your mri_glmfit command, you added --i  
divided into 5000 each. Sorry, but I'm not sure what you meant by that.


mri_glmfit --y qdec/MF_group_rh/y.mgh --fsgd qdec/MF_group_rh/ 
qdec.fsgd doss --surf fsaverage rh --fwhm 34.309616 --C qdec/ 
MF_group_rh/contrasts/Diff-1-2-Intercept.mat --sim perm 1000 2 stats/ 
newperm_rh/newperm_rh --glmdir stats/newperm_rh/


gdfReadHeader: reading qdec/MF_group_rh/qdec.fsgd
INFO: demeaning continous variables
Continuous Variable Means (all subjects)
Class Means of each Continuous Variable
1 group1
2 group2
INFO: gd2mtx_method is doss
Reading source surface /data/kang/work/struct/alex/freesurfer/ 
subjects_cann/fsaverage/surf/rh.white

reading group avg surface area 822 cm^2 from file
Reading in average area /data/kang/work/struct/alex/freesurfer/ 
subjects_cann/fsaverage/surf/rh.white.avg.area.mgh

simbase stats/newperm_rh/newperm_rh
Number of vertices 163842
Number of faces327680
Total area 65020.765625
AvgVtxArea   0.396850
AvgVtxDist   0.717994
StdVtxDist   0.193566
reading group avg surface area 822 cm^2 from file
Reading in average area /data/kang/work/struct/alex/freesurfer/ 
subjects_cann/fsaverage/surf/rh.white.avg.area.mgh

INFO: fwhm2niters: Fixing group surface area
Surface smoothing by fwhm=34.309616, niters=866.00

$Id: mri_glmfit.c,v 1.138.2.1 2007/09/12 15:38:19 nicks Exp $
cwd /data/kang/work/struct/alex/freesurfer/subjects_cann
cmdline mri_glmfit --y qdec/MF_group_rh/y.mgh --fsgd qdec/MF_group_rh/ 
qdec.fsgd doss --surf fsaverage rh --fwhm 34.309616 --C qdec/ 
MF_group_rh/contrasts/Diff-1-2-Intercept.mat --sim perm 1000 2 stats/ 
newperm_rh/newperm_rh --glmdir stats/newperm_rh/

sysname  Linux
hostname kang
machine  i686
user alex
FixVertexAreaFlag = 1
UseMaskWithSmoothing 1
fwhm 34.309616
niters866.00
OneSampleGroupMean 0
y/data/kang/work/struct/alex/freesurfer/subjects_cann/qdec/ 
MF_group_rh/y.mgh

logyflag 0
usedti  0
FSGD qdec/MF_group_rh/qdec.fsgd
glmdir stats/newperm_rh/
DoFFx 0
Loading y from /data/kang/work/struct/alex/freesurfer/subjects_cann/ 
qdec/MF_group_rh/y.mgh

Matrix condition is 1
search space = 82167.6
Smoothing input by fwhm 34.309616
Smoothing done, nsteps = 866, tsec = 1236.17
   ... done
DOF = 28
thresh = 2, threshadj = 2
Starting simulation sim over 1000 trials
1/1000 t=0 
Starting fit and test
10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Diff-1-2-Intercept 0 nc=3  maxcsize=1910.81  sigmax=-3.00831   
Fmax=13.551

2/1000 t=0.0572833 
Starting fit and test
10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Diff-1-2-Intercept 1 nc=0  maxcsize=0  sigmax=1.36036  Fmax=4.46612
3/1000 t=0.0994333 

... and so on... then

mri_surfcluster --src qdec/MF_group_lh/contrasts.sig.mgh --csd stats/ 
newperm_lh/newperm_lh-Diff-1-2-Intercept.csd --sum stats/newperm_lh/ 
newperm_lh --ocp stats/newperm_lh/newperm_lh.mgh


thsign = abs, id = 0
version $Id: mri_surfcluster.c,v 1.39 2007/07/31 00:34:19 greve Exp $
hemi   = rh
srcid  = qdec/MF_group_lh/contrasts.sig.mgh paint
srcsubjid  = fsaverage
srcsurf= white
srcframe   = 0
thsign = abs
thmin  = 2
thmax  = -1
fdr= -1
minarea= 0
xfmfile= talairach.xfm
nth = -1
sumfile  = stats/newperm_lh/newperm_lh
subjectsdir= /data/kang/work/struct/alex/freesurfer/subjects_cann
FixMNI = 1
- XFM matrix (RAS2RAS) ---
/data/kang/work/struct/alex/freesurfer/subjects_cann/fsaverage/mri/ 
transforms/talairach.xfm

 1.000   0.000   0.000   0.000;
 0.000   1.000   0.000   0.000;
 0.000   0.000   1.000   0.000;
 0.000   0.000   0.000   1.000;

Reading source surface /data/kang/work/struct/alex/freesurfer/ 
subjects_cann/fsaverage/surf/rh.white

reading group avg surface area 822 cm^2 from file
Reading in average area /data/kang/work/struct/alex/freesurfer/ 
subjects_cann/fsaverage/surf/rh.white.avg.area.mgh

Done reading source surface
Computing metric properties
Loading source values
number of voxels in search space = 163842
Done loading source values (nvtxs = 163842)
overall max =