Re: [Freesurfer] TRACULA analyses in glmfit

2015-07-06 Thread Pedro Rosa - GMail
Hi Anastasia,  
Thanks for the clarification. I am happy to hear that you are working on that!
As the byvoxel data includes MNI coordinates, I though it could be possible to 
assemble them to MNI 3D space.
Thanks again!
Pedro Rosa.


On Monday, July 6, 2015 at 12:19 PM, Anastasia Yendiki wrote:

  
 Hi Pedro - The point-wise stats from tracula are a 1D sequence of values,  
 so they cannot be analyzed with functions that work on 2D data on the  
 surface or 3D data in the volume. At present, you'd have to do a seperate  
 analysis for every point along the tract. It's on my list to implement a  
 more comprehensive and principled solution for this and will hopefully get  
 around to it soon!
  
 BTW, the diffusion measures are extracted by tracula in the native space,  
 not in a template space. An average path in template space is produced in  
 case you want to visualize something on an average brain, but all the  
 pointwise and average FA/MD/etc values are extracted in the native DWI  
 space of each subject.
  
 Best,
 a.y
  
 On Sun, 5 Jul 2015, Pedro Rosa - GMail wrote:
  
  Dear Developers,
  Tracula’s Statistics wiki suggests one to use the statistical software of 
  choice.
  Could it be glmfit?
  For that, I think I would need to concatenate each tract-by-voxel diffusion 
  data
  from each subject (e.g., each diffusion data of course separately) in 
  common space
  (e.g., MNI) and then input it to mri_glmfit / mri_glmfit-sim, whose output 
  sig.mgh
  would be loaded in Freeview as a heatmap.
  I understood that diffusion data in Tracula is saved in .txt files, which 
  cannot be
  inputed into mri_preproc or mri_label2vol. Is it possible to use glmfit 
  with Tracula
  outputs?
  Thanks in advance,
  Pedro Rosa.
   
  
  
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[Freesurfer] TRACULA analyses in glmfit

2015-07-05 Thread Pedro Rosa - GMail
Dear Developers,  
Tracula’s Statistics wiki suggests one to use the statistical software of 
choice. Could it be glmfit?
For that, I think I would need to concatenate each tract-by-voxel diffusion 
data from each subject (e.g., each diffusion data of course separately) in 
common space (e.g., MNI) and then input it to mri_glmfit / mri_glmfit-sim, 
whose output sig.mgh would be loaded in Freeview as a heatmap.
I understood that diffusion data in Tracula is saved in .txt files, which 
cannot be inputed into mri_preproc or mri_label2vol. Is it possible to use 
glmfit with Tracula outputs?
Thanks in advance,
Pedro Rosa.

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Re: [Freesurfer] dt_recon

2015-05-16 Thread Pedro Rosa - GMail
Thanks, Doug! 

Pedro Rosa


On Monday, May 11, 2015 at 6:51 PM, Douglas N Greve wrote:

 It sounds like you did the right thing.
 
 On 05/10/2015 02:41 PM, Pedro Rosa - GMail wrote:
  Dear developers,
  I am running an analysis with dt_recon, and it seems that my DWI files 
  are organized into three series (one larger, and two smaller, that I 
  believe are ADC and Trace). Inputing a DICOM file to dt_recon 
  generates a .nii file from one of the series only (the larger one, 
  once it has many more .dcm files). Thus, it ignores the smaller series.
  This is the first time I am working with DWI series, so I not quite 
  sure if this way of organizing data is usual.
  I would appreciate help in regard of how to deal with this data and 
  input it into dt_recon.
  Regards,
  Pedro Rosa.
  
  
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[Freesurfer] dt_recon

2015-05-10 Thread Pedro Rosa - GMail
Dear developers, 
I am running an analysis with dt_recon, and it seems that my DWI files are 
organized into three series (one larger, and two smaller, that I believe are 
ADC and Trace). Inputing a DICOM file to dt_recon generates a .nii file from 
one of the series only (the larger one, once it has many more .dcm files). 
Thus, it ignores the smaller series.
This is the first time I am working with DWI series, so I not quite sure if 
this way of organizing data is usual.
I would appreciate help in regard of how to deal with this data and input it 
into dt_recon.
Regards,
Pedro Rosa.

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[Freesurfer] Amazon EC2 for FreeSurfer 5.3

2015-04-15 Thread Pedro Rosa - GMail
Dear FreeSurfer users,
Has anyone succeeded in running FreeSurfer 5.3 in a cloud processing system, 
such as Amazon EC2?
I have seen prior posts in regard of FreeSurfer 5.1 
(https://mail.nmr.mgh.harvard.edu/pipermail//freesurfer/2011-November/021181.html),
 but not for 5.3.
Regards,
Pedro Rosa.
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Re: [Freesurfer] Insula

2015-04-07 Thread Pedro Rosa - Gmail
Hi, 
Thanks a lot, Bruce. These are from a 1.5T GE Signa scanner, with a T1-SPGR 
sequence with 0.86x0.86x1.5mm voxel size, echo time 5.2ms, resolution time 
21.7ms, flip angle 20. This is an older sample we have, and I intent to 
replicate earlier SPM analyses but now using FreeSurfer. I acknowledge the low 
contrast problem, but I am having success in correcting topological errors in 
the temporal lobe, and only these insula problems show to be harder to deal 
with.
Your help will be very appreciated! I am now putting the file (PedroRosa.zip) 
Best,,
Pedro Rosa


On Tuesday, April 7, 2015 at 9:29 AM, Bruce Fischl wrote:

 sure, upload it and we will take a look. Can you tell us a bit about the 
 acquisition? It's hard to tell for sure with the parcellation overlaid, 
 but it looks *very* low contrast, which I'm sure is making things harder
 
 cheers
 Bruce
 On Mon, 6 Apr 2015, Pedro Rosa - Gmail 
 wrote:
 
  Dear FreeSurfers,
  I was correcting the topology of some subjects, and could not fix some 
  subjects whose insula is misplaced into the temporal lobe / subcortical 
  regions. Inspecting wm.mgz in tkmedit, it seems that there are wm voxels 
  into the hippocampus, perhaps leading surfaces to be built there. Removing 
  them, however, did not help (actually, it seems that it made things worse). 
  Can you help me? I can upload the subject if it you think it is suitable.
  Many thanks in advance,
  Pedro Rosa.
  
 
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[Freesurfer] Insula

2015-04-06 Thread Pedro Rosa - Gmail
Dear FreeSurfers, 
I was correcting the topology of some subjects, and could not fix some subjects 
whose insula is misplaced into the temporal lobe / subcortical regions. 
Inspecting wm.mgz in tkmedit, it seems that there are wm voxels into the 
hippocampus, perhaps leading surfaces to be built there. Removing them, 
however, did not help (actually, it seems that it made things worse). Can you 
help me? I can upload the subject if it you think it is suitable.
Many thanks in advance,
Pedro Rosa.

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[Freesurfer] Longitudinal - varying geometries

2015-04-01 Thread Pedro Rosa - Gmail
Dear FreeSurfers,
I have read in the Mailing list 
(http://www.mail-archive.com/freesurfer%40nmr.mgh.harvard.edu/msg32753.html and 
others) other users asking questioning in regard of a Warning from FreeSurfer 
5.3 longitudinal pipeline (-base step):
\n***
WARNING: Image geometries differ across time, maybe due to aquisition changes?
 This can potentially bias a longitudinal study! Will continue in 10s.
***\n
I am working in a sample with a longotudinal design which receives this warn, 
although there was no change in hardware, and (supposedly) the acquisition 
protocol was the same. As requested by Martin in former posts in the Mailing 
List, I attached the output from mri_info */rawavg.mgz.
I would like to know if these differences should be considered a bias in a 
longitudinal study and, if they should, if there is a way to fix it.
Regards,
Pedro Rosa.


baseline
Description: Binary data



fup
Description: Binary data
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Re: [Freesurfer] Longitudinal - varying geometries

2015-04-01 Thread Pedro Rosa - GMail
Thanks, Martin. 
It is unfortunate to hear such news, but they are of course accurate. Hopefully 
this affects a small subset of subjects, and I will be able to add a covariate 
to it.
Regards,
Pedro Rosa.


On Wednesday, April 1, 2015 at 12:30 PM, Martin Reuter wrote:

 Hi Pedro,
 
 there is really no way to fix it. Especially if all you subjects changed 
 acquisition. If it is only a small subset, you can then include a co-variable 
 to account for this in your stats. You should then also test whether one 
 group has more of these cases than the other, or if it is distributed evenly 
 (in case you run a group analysis). If you are interested in analyzing other 
 co-variates (drug dose) you need to test if there is a correlation with 
 acquisition, etc. 
 
 Reslicing will not help at all. Adding another reslicing step to only some 
 images will clearly bias results. 
 
 If this change in acquisition has happened for most or all your subjects, you 
 can scan a subset back-to-back (with removal from scanner), with the 
 different protocols to see how large the effect is. The problem here is that 
 you need to scan a decent number to trust those results.
 
 Best, Martin
 
 
 On 04/01/2015 11:21 AM, Pedro Rosa wrote:
  Hi Martin, 
  Thank you for your answer.
  Is there a way to fix it? Can reslicing help?
  Or to try compenate for it in the processing or statistics?
  Regards
  
  -- 
  Pedro Rosa
  
  
  On Apr 1, 2015, at 12:13, Martin Reuter mreu...@nmr.mgh.harvard.edu 
  (mailto:mreu...@nmr.mgh.harvard.edu) wrote:
  
   Hi Pedro, 
   
   yes, there was a bug (well, not really a bug but the check was 
   oversensitive). It was testing too many image parameters, some of them 
   could be problematic (e.g. different voxel sizes across time), and some 
   not. 
   
   Looking at your attached files, you can see that the voxel sizes differ 
   significantly between the baseline and the follow-up
   Baseline:
   dimensions: 256 x 256 x 124
  voxel sizes: 0.8594, 0.8594, 1.5000
   Follow-up:
   dimensions: 256 x 256 x 124
  voxel sizes: 1.0938, 1.0938, 1.5000
   
   This can induce a bias. You need to keep imaging parameters fixed in a 
   longitudinal study, else you'll not know if changes are anatomical 
   changes or induced by the different imaging.
   
   Best, Martin
   
   On 04/01/2015 06:43 AM, Pedro Rosa - Gmail wrote:
Dear FreeSurfers, I have read in the Mailing list 
(http://www.mail-archive.com/freesurfer%40nmr.mgh.harvard.edu/msg32753.html
 and others) other users asking questioning in regard of a Warning from 
FreeSurfer 5.3 longitudinal pipeline (-base step): 
\n***
 WARNING: Image geometries differ across time, maybe due to aquisition 
changes? This can potentially bias a longitudinal study! Will continue 
in 10s. 
***\n
 I am working in a sample with a longotudinal design which receives 
this warn, although there was no change in hardware, and (supposedly) 
the acquisition protocol was the same. As requested by Martin in former 
posts in the Mailing List, I attached the output from mri_info 
*/rawavg.mgz. I would like to know if these differences should be 
considered a bias in a longitudinal study and, if they should, if there 
is a way to fix it.
 Regards, Pedro Rosa. 



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Re: [Freesurfer] Cortical Misegmentation

2015-03-06 Thread Pedro Rosa - Gmail
Hi, Bruce.  
I am currently putting the file (Well-C0-T1w-023-20050425_124.zip) - it will 
take a while.  
I was able to make it a lot better using the Topological Defect correction in 
tkmedit. Is it suitable for this task? I have not tried adding control points.
This is an older data with a quite long follow-up, so unfortunately I can not 
change the acquisition. Sorry, I am unaware of the type of receive coil that 
was used.
Thanks,
Pedro Rosa.

On Friday, March 6, 2015 at 10:28 AM, Bruce Fischl wrote:

 Hi Pedro
  
 the instructions are at:
  
 http://surfer.nmr.mgh.harvard.edu/fswiki/FtpFileExchange
  
 have you tried control points in the temporal wm? And what receive coil did  
 you use? You might be better off with something like 1.1mm isotropic if you  
 can change the acquisition
  
 cheers
 Bruce
  
 On Fri, 6 Mar 2015,  
 Pedro Rosa wrote:
  
  Sure. How can I do it?
   
  Sent from my iPhone
   
  On Mar 6, 2015, at 00:01, Bruce Fischl fis...@nmr.mgh.harvard.edu 
  (mailto:fis...@nmr.mgh.harvard.edu)  
  wrote:
   
  Can you put it on our ftp site instead?
   
   
   
  On Mar 5, 2015, at 9:37 PM, Pedro Rosa pedrogomesr...@gmail.com 
  (mailto:pedrogomesr...@gmail.com)
  wrote:
   
  Hi,
  It will upload in an hour, Iguess: 
  https://www.dropbox.com/sh/n9talmyxiafdt56/AADFttKFv3erLqDd48OpjQsna
  ?dl=0
  Thanks a lot,
  Pedro.
   
  On Mar 5, 2015, at 23:32, Bruce Fischl
  fis...@nmr.mgh.harvard.edu (mailto:fis...@nmr.mgh.harvard.edu) wrote:
   
  Hmmm, if you upload it we will take a look
  Bruce
   
   
   
  On Mar 5, 2015, at 9:26 PM, Pedro Rosa - Gmail
  pedrogomesr...@gmail.com (mailto:pedrogomesr...@gmail.com) wrote:
   
  That’s from a 1.5T-SPGR GE scanner with
  0.86x0.86x1.5mm voxel size, echo time 5.2ms,
  repetition time 21.7ms, angle 20, FOV 22,
  matrix size 256x192mm.
   
  Pedro Rosa
   
  On Thursday, March 5, 2015 at 11:11 PM, Bruce Fischl
  wrote:
   
  What are your acquisition parameters,
  voxel size etc...?
   
   
   
  On Mar 5, 2015, at 9:08 PM, Pedro Rosa - Gmail
  pedrogomesr...@gmail.com (mailto:pedrogomesr...@gmail.com) wrote:
   
  Hi, Bruce.
  Yes, it it the T1.mgz. Is it a large
  topological error? Can I correct it
  editing wm.mgz?
  Thanks,
  Pedro.
   
  On Thursday, March 5, 2015 at 10:52 PM,
  Bruce Fischl wrote:
   
  What is the background
  image? Is it the t1 that
  your reconned? Can you give
  us the details about it?
   
   
   
  On Mar 5, 2015, at 8:28 PM, Pedro
  Rosa - Gmail
  pedrogomesr...@gmail.com (mailto:pedrogomesr...@gmail.com) wrote:
   
  Dear FreeSurfer,
  I have found several
  subjects to have temporal
  lobe misegmentations
  (usually neocortical, as
  attached, but sometimes
  mesial tempporal), and less
  frequently in the insula.
  I could find in the manual
  editing page from the Wiki a
  way to fix this. How should
  I do it?
  Thanks a lot,
  Pedro Rosa.
   
  TemporalLobe 2.png
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[Freesurfer] Cortical Misegmentation

2015-03-05 Thread Pedro Rosa - Gmail
Dear FreeSurfer, 
I have found several subjects to have temporal lobe misegmentations (usually 
neocortical, as attached, but sometimes mesial tempporal), and less frequently 
in the insula.
I could find in the manual editing page from the Wiki a way to fix this. How 
should I do it?
Thanks a lot,
Pedro Rosa.

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Re: [Freesurfer] Cortical Misegmentation

2015-03-05 Thread Pedro Rosa - Gmail
That’s from a 1.5T-SPGR GE scanner with 0.86x0.86x1.5mm voxel size, echo time 
5.2ms, repetition time 21.7ms, angle 20, FOV 22, matrix size 256x192mm.  

Pedro Rosa


On Thursday, March 5, 2015 at 11:11 PM, Bruce Fischl wrote:

 What are your acquisition parameters, voxel size etc...?
  
  
  
 On Mar 5, 2015, at 9:08 PM, Pedro Rosa - Gmail pedrogomesr...@gmail.com 
 (mailto:pedrogomesr...@gmail.com) wrote:
  
  Hi, Bruce.
  Yes, it it the T1.mgz. Is it a large topological error? Can I correct it 
  editing wm.mgz?
  Thanks,
  Pedro.
   
  On Thursday, March 5, 2015 at 10:52 PM, Bruce Fischl wrote:
   
   What is the background image? Is it the t1 that your reconned? Can you 
   give us the details about it?



   On Mar 5, 2015, at 8:28 PM, Pedro Rosa - Gmail pedrogomesr...@gmail.com 
   (mailto:pedrogomesr...@gmail.com) wrote:

Dear FreeSurfer,  
I have found several subjects to have temporal lobe misegmentations 
(usually neocortical, as attached, but sometimes mesial tempporal), and 
less frequently in the insula.
I could find in the manual editing page from the Wiki a way to fix 
this. How should I do it?
Thanks a lot,
Pedro Rosa.
 
TemporalLobe 2.png
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Re: [Freesurfer] Cortical Misegmentation

2015-03-05 Thread Pedro Rosa - Gmail
Hi, Bruce.
Yes, it it the T1.mgz. Is it a large topological error? Can I correct it 
editing wm.mgz?
Thanks,
Pedro.

On Thursday, March 5, 2015 at 10:52 PM, Bruce Fischl wrote:

 What is the background image? Is it the t1 that your reconned? Can you give 
 us the details about it?
 
 
 
 On Mar 5, 2015, at 8:28 PM, Pedro Rosa - Gmail pedrogomesr...@gmail.com 
 (mailto:pedrogomesr...@gmail.com) wrote:
 
  Dear FreeSurfer, 
  I have found several subjects to have temporal lobe misegmentations 
  (usually neocortical, as attached, but sometimes mesial tempporal), and 
  less frequently in the insula.
  I could find in the manual editing page from the Wiki a way to fix this. 
  How should I do it?
  Thanks a lot,
  Pedro Rosa.
  
  TemporalLobe 2.png
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[Freesurfer] RAM Replace

2015-02-23 Thread Pedro Rosa - Gmail
Dear all,
I would like to know whether a RAM memory replacement in a Mac computer would 
change FreeSurfer 5.3 processing.
I have a sample that was almost completely processed, but there are a few 
subjects whose acquisition are yet to be done. I would like know whether I 
could process such images after the RAM replacement without biasing the study. 
The change would be from a Markvision without ECC (error-correction code) to a 
Kingston with ECC.
Thanks in advance,
Pedro Rosa.

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Re: [Freesurfer] Thin Surface

2015-02-18 Thread Pedro Rosa - Gmail
Thanks, Bruce.  
I pasted the mri_segment and mris_make_surfaces I found in three subjects’ logs.
Expert opts would be -seg-wlo and -seg-ghi? Which values would be reasonable? 
Do they depend on scanning characteristics or do you have a sort of standard 
parameters for the software?
Regards,
Pedro Rosa.

Subject 1:  
#@# WM Segmentation Mon Feb 16 09:08:56 BRST 2015
\n mri_segment brain.mgz wm.seg.mgz \n
doing initial intensity segmentation...
using local statistics to label ambiguous voxels...
computing class statistics for intensity windows...
WM (104.0): 105.0 +- 4.5 [80.0 -- 125.0]
GM (72.0) : 70.1 +- 13.5 [30.0 -- 96.0]
setting bottom of white matter range to 83.6
setting top of gray matter range to 97.1

Subject 2:
WM (105.0): 105.6 +- 4.6 [80.0 -- 125.0]
GM (70.0) : 68.4 +- 13.5 [30.0 -- 96.0]
setting bottom of white matter range to 81.9
setting top of gray matter range to 95.4


Subject 3:
WM (105.0): 105.6 +- 4.3 [80.0 -- 125.0]
GM (71.0) : 69.2 +- 13.9 [30.0 -- 96.0]
setting bottom of white matter range to 83.2
setting top of gray matter range to 97.1


——  

Subject 1:
\n mris_make_surfaces -noaparc -whiteonly -mgz -T1 brain.finalsurfs Subject2 lh 
\n
only generating white matter surface
not using aparc to prevent surfaces crossing the midline
INFO: assuming MGZ format for volumes.
using brain.finalsurfs as T1 volume...
$Id: mris_make_surfaces.c,v 1.127 2011/03/02 00:04:33 nicks Exp $
$Id: mrisurf.c,v 1.693.2.2 2011/04/27 19:21:05 nicks Exp $
reading volume 
/Users/pedrogomesrosa/Desktop/Thin-rerun/Subject2/mri/filled.mgz...
reading volume 
/Users/pedrogomesrosa/Desktop/Thin-rerun/Subject2/mri/brain.finalsurfs.mgz...
reading volume /Users/pedrogomesrosa/Desktop/Thin-rerun/Subject2/mri/wm.mgz...
14199 bright wm thresholded.
1723 bright non-wm voxels segmented.
reading original surface position from 
/Users/pedrogomesrosa/Desktop/Thin-rerun/Subject2/surf/lh.orig...
computing class statistics...
border white:347738 voxels (2.07%)
border gray  336007 voxels (2.00%)
WM (95.0): 96.2 +- 6.5 [70.0 -- 110.0]
GM (85.0) : 81.4 +- 13.2 [30.0 -- 110.0]
setting MIN_GRAY_AT_WHITE_BORDER to 57.8 (was 70)
setting MAX_BORDER_WHITE to 105.5 (was 105)
setting MIN_BORDER_WHITE to 71.0 (was 85)
setting MAX_CSF to 44.5 (was 40)
setting MAX_GRAY to 92.5 (was 95)
setting MAX_GRAY_AT_CSF_BORDER to 64.4 (was 75)
setting MIN_GRAY_AT_CSF_BORDER to 31.3 (was 40)

Subject 2:
setting MIN_GRAY_AT_WHITE_BORDER to 70.2 (was 70)
setting MAX_BORDER_WHITE to 106.6 (was 105)
setting MIN_BORDER_WHITE to 84.0 (was 85)
setting MAX_CSF to 56.4 (was 40)
setting MAX_GRAY to 93.4 (was 95)
setting MAX_GRAY_AT_CSF_BORDER to 77.1 (was 75)
setting MIN_GRAY_AT_CSF_BORDER to 42.5 (was 40)

Subject 3:
WM (97.0): 97.9 +- 6.2 [70.0 -- 110.0]
GM (87.0) : 83.8 +- 13.5 [30.0 -- 110.0]
setting MIN_GRAY_AT_WHITE_BORDER to 71.5 (was 70)
setting MAX_BORDER_WHITE to 107.2 (was 105)
setting MIN_BORDER_WHITE to 85.0 (was 85)
setting MAX_CSF to 57.9 (was 40)
setting MAX_GRAY to 94.8 (was 95)
setting MAX_GRAY_AT_CSF_BORDER to 78.2 (was 75)
setting MIN_GRAY_AT_CSF_BORDER to 44.4 (was 40)





On Wednesday, February 18, 2015 at 7:58 PM, Bruce Fischl wrote:

 can you check mri_segmet and mris_make_surfaces and see if the  
 auto-detected intensity parameters are reasonable? Things like max gray  
 at csf border and such. If not, you can set them explicitly using the  
 expert opts - this usually works
 Bruce
 On Wed, 18 Feb 2015, Pedro Rosa - Gmail  
 wrote:
  
  Hi,
  I am resending it once I could not find it in the archives.
  Thanks,
  Pedro.
   
  Dear Freesurfers,
  I am working on a 1.5T MPRAGE sample of first-episode psychosis and 
  controls, and have found that some subjects end up having thin cortical 
  surfaces with frequent unsegmented deep sulci. I think this was worse with 
  FreeSurfer 5.3 than with FreeSurfer 5.1. I attached some screen shots of 
  aparc+aseg labeling T1.mgz from a few of these subjects.
  This seems to be a widespread cortical issue, although it was heterogeneous 
  across subjects (some of them seemed to have the “caudal half of both 
  hemispheres adequately segmented), and trying to simply rerun those 
  subjects was not very helpful. Should I manually work on them, rerun 
  recon-all with distinct parameters, or just discard them?
  Regards,
  Pedro Rosa.
   
  
  
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[Freesurfer] LME Contrasts - Longitudinal Analysis

2015-01-10 Thread Pedro Rosa - Gmail
Dear Freesurfer List,  
Reading the Wiki for the GLM procedures, I understood that that covariates that 
are “0” in the contrast matrix are “regressed out” 
(http://surfer.nmr.mgh.harvard.edu/fswiki/Fsgdf2G2V).  
I would like to know if this is also true for the LME contrasts 
(http://surfer.nmr.mgh.harvard.edu/fswiki/LinearMixedEffectsModels), and if 
this applies both for categorical (e.g., gender) and continuous variables 
(e.g., age in years).
Thank you very much in advance,
Pedro Rosa.

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