Freesurfer May 2020

freesurfer@nmr.mgh.harvard.edu

111 participants
208 discussions

Solving the Lazy Symbol binding errors
by RENXI LI 12 May '20

12 May '20

External Email - Use Caution Hi, I was trying to get through the lazy symbol binding errors and I have disable the SIP. I have the following errors, would you mind taking a look to see what might goes wrong? Build is freesurfer-Darwin-OSX-stable-pub-v6.0.0-2beb96c Running this will update some of your freesurfer binaries. Shall I proceed? [y/n/Abort]: y rsync -zbrlv --progress --suffix=.1589339130_bak rsync://surfer.nmr.mgh.harvard.edu/pub/dist/freesurfer/patches/freesurfer-D… /Applications/freesurfer receiving file list ... rsync: change_dir "/dist/freesurfer/patches/freesurfer-Darwin-OSX-stable-pub-v6.0.0-2beb96c" (in pub) failed: No such file or directory (2) 0 files to consider sent 4 bytes received 9 bytes 8.67 bytes/sec total size is 0 speedup is 0.00 rsync error: some files could not be transferred (code 23) at /BuildRoot/Library/Caches/com.apple.xbs/Sources/rsync/rsync-54/rsync/main.c(1404) [receiver=2.6.9] Best, Renxi

1 0

Information regarding FreeSurferColorLUT.txt
by Safi Ullah . 12 May '20

12 May '20

External Email - Use Caution Dear Freesurfer, *Q.1*: The colors of FreeSurferColorLUT.txt corresponds to which mgz file? I wanted to extract Substancia-Nigra but with reference to a conversion, held in 2019, https://www.mail-archive.com/freesurfer@nmr.mgh.harvard.edu/msg63560.html, segmentation for the serial # of Substancia-Nigra is not supported in version 6, is it supported by Version 7? if not then i would like to write a code to extract labels for Substancia-Nigra based on the color code (RGB). is it possible? as the slices are in grayscale. *Q.2*: I also need to extract Anterior Commissure and Posterior Commissure. *Q.3*: While reading the brainstem-structures.log, I came across this statement (it appears multiple times) " * WARNING: Registration did not converge in 5 steps! * Problem might be ill posed. * Please inspect output manually! " why i get this warning and how to get rid of it? because i think the segmented midbrain does not cover the whole midbrain area. Thanks in advance Safi

2 3

Re: [Freesurfer] tkmedit in FreeSurfer 7.0
by Hoopes, Andrew 12 May '20

12 May '20

Hi Aylin, You can add this to your SetUpFreeSurfer script in $FREESURFER_HOME, but in general tkmedit is no longer supported after v6, please just use freeview. Best Andrew From: <freesurfer-bounces(a)nmr.mgh.harvard.edu> on behalf of "Dincer, Aylin" <aylin.dincer(a)wustl.edu> Reply-To: FS Help <freesurfer(a)nmr.mgh.harvard.edu> Date: Monday, May 11, 2020 at 3:17 PM To: FS Help <freesurfer(a)nmr.mgh.harvard.edu> Subject: [Freesurfer] tkmedit in FreeSurfer 7.0 External Email - Use Caution Hi FreeSurfer Experts, We are unable to use tkmedit using FreeSurfer 7.0 (centos 7). In the .xdebug_tkmedit file, it outputs the following error: “Tcl_Init returned 1: Can't find a usable init.tcl in the following directories: /usr/pubsw/packages/tcltktixblt/current/lib/tcl8.4” It looks like when we manually set the environmental variable TCL_LIBRARY to point to the tcl location in the $FREESURFER_HOME folder, tkmedit will open. Is there a way to fix this so it automatically sets this environmental variable? Thanks! Aylin _____________________________ Aylin Dincer Senior Research Technician NeuroImaging Laboratories Imaging Core, Benzinger Lab 314-362-3629 ________________________________ The materials in this message are private and may contain Protected Healthcare Information or other information of a sensitive nature. If you are not the intended recipient, be advised that any unauthorized use, disclosure, copying or the taking of any action in reliance on the contents of this information is strictly prohibited. If you have received this email in error, please immediately notify the sender via telephone or return mail.

2 1

mri_glmfit ERROR: matrix is ill-conditioned or badly scaled -
by Marina Fernández 12 May '20

12 May '20

External Email - Use Caution Dear Freesurfer experts, I get the error that you can find at the end of this message when I am running mri_glmfit. Whenever I run an analysis in which the experimental design has more than 12 columns, I get the same error, whereas if the experimental design has less than 12 columns, the analysis is successful. I also send you the fsgd.txt file (through FTP File Exchange). In this file you can see that there are four groups that have been created by the combination of two discrete variables (sex and apoe-type). How can I solve this problem? Thank you in advance. ERROR MESSAGE: (...) Saving design matrix to /usr/local/freesurfer/subjects/amy_frapsaliva_stats/stats/cortex/cortex_caseageeducfrap/pruebax_frapsalgroup_NEG/lh.fsgd_subj_gauss001/Xg.dat Computing normalized matrix Normalized matrix condition is 1e+08 Design matrix ------------------ 0.00000 1.00000 0.00000 0.00000 0.00000 0.83619 0.00000 0.00000 0.00000 0.91963 0.00000 0.00000 0.00000 0.79984 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000 0.00000 -0.39700 0.00000 0.00000 0.00000 -0.73337 0.00000 0.00000 0.00000 -0.84287 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000 0.00000 -0.74935 0.00000 0.00000 0.00000 0.91963 0.00000 0.00000 0.00000 -0.82284 0.00000 0.00000; 1.00000 0.00000 0.00000 0.00000 -1.45403 0.00000 0.00000 0.00000 -0.32012 0.00000 0.00000 0.00000 0.17882 0.00000 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000 0.00000 -0.57318 0.00000 0.00000 0.00000 0.91963 0.00000 0.00000 0.00000 0.33908 0.00000 0.00000; 0.00000 0.00000 1.00000 0.00000 0.00000 0.00000 1.71704 0.00000 0.00000 0.00000 0.09313 0.00000 0.00000 0.00000 -0.02652 0.00000; 0.00000 0.00000 0.00000 1.00000 0.00000 0.00000 0.00000 0.66002 0.00000 0.00000 0.00000 -0.11350 0.00000 0.00000 0.00000 0.46929; 0.00000 0.00000 0.00000 1.00000 0.00000 0.00000 0.00000 0.48385 0.00000 0.00000 0.00000 -0.94000 0.00000 0.00000 0.00000 1.23055; 0.00000 0.00000 0.00000 1.00000 0.00000 0.00000 0.00000 0.83619 0.00000 0.00000 0.00000 -2.38637 0.00000 0.00000 0.00000 -0.90297; 0.00000 1.00000 0.00000 0.00000 0.00000 -0.04466 0.00000 0.00000 0.00000 0.91963 0.00000 0.00000 0.00000 0.28399 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000 0.00000 0.48385 0.00000 0.00000 0.00000 0.91963 0.00000 0.00000 0.00000 0.86996 0.00000 0.00000; 0.00000 0.00000 0.00000 1.00000 0.00000 0.00000 0.00000 1.18853 0.00000 0.00000 0.00000 0.91963 0.00000 0.00000 0.00000 0.18883; 0.00000 1.00000 0.00000 0.00000 0.00000 -2.15871 0.00000 0.00000 0.00000 -0.94000 0.00000 0.00000 0.00000 1.53105 0.00000 0.00000; 1.00000 0.00000 0.00000 0.00000 -1.98254 0.00000 0.00000 0.00000 0.50638 0.00000 0.00000 0.00000 0.73974 0.00000 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000 0.00000 -1.45403 0.00000 0.00000 0.00000 0.50638 0.00000 0.00000 0.00000 0.23391 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000 0.00000 0.13151 0.00000 0.00000 0.00000 0.91963 0.00000 0.00000 0.00000 -0.91298 0.00000 0.00000; 0.00000 0.00000 0.00000 1.00000 0.00000 0.00000 0.00000 -1.63020 0.00000 0.00000 0.00000 0.09313 0.00000 0.00000 0.00000 0.78982; 0.00000 1.00000 0.00000 0.00000 0.00000 0.66002 0.00000 0.00000 0.00000 -1.55987 0.00000 0.00000 0.00000 -0.15173 0.00000 0.00000; 1.00000 0.00000 0.00000 0.00000 1.54087 0.00000 0.00000 0.00000 -0.32012 0.00000 0.00000 0.00000 1.28564 0.00000 0.00000 0.00000; 0.00000 0.00000 1.00000 0.00000 0.00000 0.00000 0.30768 0.00000 0.00000 0.00000 -0.94000 0.00000 0.00000 0.00000 -0.76775 0.00000; 0.00000 0.00000 0.00000 1.00000 0.00000 0.00000 0.00000 1.71704 0.00000 0.00000 0.00000 0.50638 0.00000 0.00000 0.00000 1.41085; 0.00000 0.00000 0.00000 1.00000 0.00000 0.00000 0.00000 0.48385 0.00000 0.00000 0.00000 -0.52675 0.00000 0.00000 0.00000 0.73974; 1.00000 0.00000 0.00000 0.00000 -0.92552 0.00000 0.00000 0.00000 1.53950 0.00000 0.00000 0.00000 -0.76274 0.00000 0.00000 0.00000; 1.00000 0.00000 0.00000 0.00000 0.66002 0.00000 0.00000 0.00000 0.91963 0.00000 0.00000 0.00000 -0.50731 0.00000 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000 0.00000 -0.39700 0.00000 0.00000 0.00000 -0.94000 0.00000 0.00000 0.00000 -0.93803 0.00000 0.00000; 1.00000 0.00000 0.00000 0.00000 -0.04466 0.00000 0.00000 0.00000 0.29975 0.00000 0.00000 0.00000 -1.07325 0.00000 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000 0.00000 0.30768 0.00000 0.00000 0.00000 1.74613 0.00000 0.00000 0.00000 -0.46725 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000 0.00000 -0.39700 0.00000 0.00000 0.00000 -0.73337 0.00000 0.00000 0.00000 -1.50396 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000 0.00000 1.01236 0.00000 0.00000 0.00000 0.09313 0.00000 0.00000 0.00000 0.65460 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000 0.00000 -1.10169 0.00000 0.00000 0.00000 1.12625 0.00000 0.00000 0.00000 -0.26191 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000 0.00000 1.01236 0.00000 0.00000 0.00000 1.53950 0.00000 0.00000 0.00000 0.05361 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000 0.00000 -1.45403 0.00000 0.00000 0.00000 0.71300 0.00000 0.00000 0.00000 -0.77776 0.00000 0.00000; 1.00000 0.00000 0.00000 0.00000 -0.22083 0.00000 0.00000 0.00000 -0.32012 0.00000 0.00000 0.00000 0.94007 0.00000 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000 0.00000 -0.74935 0.00000 0.00000 0.00000 -0.94000 0.00000 0.00000 0.00000 0.76979 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000 0.00000 1.71704 0.00000 0.00000 0.00000 -1.76650 0.00000 0.00000 0.00000 -3.43214 0.00000 0.00000; 0.00000 0.00000 0.00000 1.00000 0.00000 0.00000 0.00000 0.30768 0.00000 0.00000 0.00000 -0.94000 0.00000 0.00000 0.00000 0.60452; 0.00000 0.00000 0.00000 1.00000 0.00000 0.00000 0.00000 -0.92552 0.00000 0.00000 0.00000 -0.11350 0.00000 0.00000 0.00000 0.61954; 0.00000 0.00000 0.00000 1.00000 0.00000 0.00000 0.00000 -0.22083 0.00000 0.00000 0.00000 0.50638 0.00000 0.00000 0.00000 0.91503; 0.00000 1.00000 0.00000 0.00000 0.00000 -0.39700 0.00000 0.00000 0.00000 -0.32012 0.00000 0.00000 0.00000 -0.16175 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000 0.00000 -1.27786 0.00000 0.00000 0.00000 -0.94000 0.00000 0.00000 0.00000 0.80485 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000 0.00000 -0.57318 0.00000 0.00000 0.00000 0.50638 0.00000 0.00000 0.00000 0.21888 0.00000 0.00000; 1.00000 0.00000 0.00000 0.00000 -0.92552 0.00000 0.00000 0.00000 1.53950 0.00000 0.00000 0.00000 -0.28194 0.00000 0.00000 0.00000; 1.00000 0.00000 0.00000 0.00000 -0.22083 0.00000 0.00000 0.00000 -0.52675 0.00000 0.00000 0.00000 -0.49229 0.00000 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000 0.00000 -1.98254 0.00000 0.00000 0.00000 0.71300 0.00000 0.00000 0.00000 0.69968 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000 0.00000 -0.04466 0.00000 0.00000 0.00000 -0.11350 0.00000 0.00000 0.00000 -0.71766 0.00000 0.00000; 1.00000 0.00000 0.00000 0.00000 -0.92552 0.00000 0.00000 0.00000 0.91963 0.00000 0.00000 0.00000 -0.55239 0.00000 0.00000 0.00000; 1.00000 0.00000 0.00000 0.00000 -1.10169 0.00000 0.00000 0.00000 -0.11350 0.00000 0.00000 0.00000 -2.14502 0.00000 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000 0.00000 0.48385 0.00000 0.00000 0.00000 -0.94000 0.00000 0.00000 0.00000 -1.17341 0.00000 0.00000; 0.00000 0.00000 0.00000 1.00000 0.00000 0.00000 0.00000 0.48385 0.00000 0.00000 0.00000 0.91963 0.00000 0.00000 0.00000 2.19214; 0.00000 1.00000 0.00000 0.00000 0.00000 -0.92552 0.00000 0.00000 0.00000 0.71300 0.00000 0.00000 0.00000 -1.38877 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000 0.00000 -0.04466 0.00000 0.00000 0.00000 -0.73337 0.00000 0.00000 0.00000 -0.08662 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000 0.00000 1.36470 0.00000 0.00000 0.00000 -1.35325 0.00000 0.00000 0.00000 0.66462 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000 0.00000 1.36470 0.00000 0.00000 0.00000 1.12625 0.00000 0.00000 0.00000 0.71971 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000 0.00000 1.18853 0.00000 0.00000 0.00000 -0.52675 0.00000 0.00000 0.00000 0.58448 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000 0.00000 -1.63020 0.00000 0.00000 0.00000 0.50638 0.00000 0.00000 0.00000 0.95009 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000 0.00000 -0.39700 0.00000 0.00000 0.00000 -1.97312 0.00000 0.00000 0.00000 -0.47226 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000 0.00000 -0.39700 0.00000 0.00000 0.00000 -1.14662 0.00000 0.00000 0.00000 -0.45222 0.00000 0.00000; 1.00000 0.00000 0.00000 0.00000 1.18853 0.00000 0.00000 0.00000 -0.11350 0.00000 0.00000 0.00000 0.12372 0.00000 0.00000 0.00000; 1.00000 0.00000 0.00000 0.00000 0.30768 0.00000 0.00000 0.00000 -1.35325 0.00000 0.00000 0.00000 -0.26191 0.00000 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000 0.00000 1.18853 0.00000 0.00000 0.00000 -1.35325 0.00000 0.00000 0.00000 -0.12168 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000 0.00000 1.01236 0.00000 0.00000 0.00000 1.53950 0.00000 0.00000 0.00000 0.39417 0.00000 0.00000; 0.00000 0.00000 0.00000 1.00000 0.00000 0.00000 0.00000 -1.45403 0.00000 0.00000 0.00000 0.91963 0.00000 0.00000 0.00000 -0.53737; 0.00000 0.00000 0.00000 1.00000 0.00000 0.00000 0.00000 0.30768 0.00000 0.00000 0.00000 -0.32012 0.00000 0.00000 0.00000 1.10534; 0.00000 0.00000 0.00000 1.00000 0.00000 0.00000 0.00000 1.01236 0.00000 0.00000 0.00000 0.09313 0.00000 0.00000 0.00000 0.46429; 0.00000 1.00000 0.00000 0.00000 0.00000 0.48385 0.00000 0.00000 0.00000 0.09313 0.00000 0.00000 0.00000 0.33908 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000 0.00000 -0.04466 0.00000 0.00000 0.00000 -0.52675 0.00000 0.00000 0.00000 0.32906 0.00000 0.00000; 1.00000 0.00000 0.00000 0.00000 0.83619 0.00000 0.00000 0.00000 -1.55987 0.00000 0.00000 0.00000 -1.73434 0.00000 0.00000 0.00000; 0.00000 0.00000 0.00000 1.00000 0.00000 0.00000 0.00000 1.01236 0.00000 0.00000 0.00000 1.12625 0.00000 0.00000 0.00000 1.63622; 0.00000 1.00000 0.00000 0.00000 0.00000 0.66002 0.00000 0.00000 0.00000 -0.73337 0.00000 0.00000 0.00000 -0.98310 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000 0.00000 0.83619 0.00000 0.00000 0.00000 2.36600 0.00000 0.00000 0.00000 -2.40545 0.00000 0.00000; 1.00000 0.00000 0.00000 0.00000 -0.57318 0.00000 0.00000 0.00000 -0.52675 0.00000 0.00000 0.00000 1.24557 0.00000 0.00000 0.00000; -------------------------------- ERROR: matrix is ill-conditioned or badly scaled, condno = 1e+08 -------------------------------- 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.bin --surf amy_frapsaliva_average lh --C /usr/local/freesurfer/subjects/amy_frapsaliva_stats/contrast.mat --fsgd /usr/local/freesurfer/subjects/amy_frapsaliva_stats/fsgd.txt dods --label /usr/local/freesurfer/subjects/amy_frapsaliva_average/label/lh.cortex.label --y /usr/local/freesurfer/subjects/amy_frapsaliva_stats/lh.fsgd_subj_gauss001.mgh --no-prune --glmdir /usr/local/freesurfer/subjects/amy_frapsaliva_stats/stats/cortex/cortex_caseageeducfrap/pruebax_frapsalgroup_NEG/lh.fsgd_subj_gauss001 2. The FSGD file (if using one) 3. And the design matrix above Attempting to diagnose further SumSq: Min=0.768203 (col 15), Max=6.706254 (col 10) ... could not determine the cause of the problem

2 1

mri_glmfit error
by Marina Fernández 12 May '20

12 May '20

1 0

Robust Regression with Univariate LME
by Hua, Jessica 12 May '20

12 May '20

External Email - Use Caution Hi FreeSurfer Experts, There are a couple of outliers in my data. I had winsorized the variable, but now I am trying to use robust regression to weight these outliers in my longitudinal analyses. In Matlab there is a robustfit function. Is there a way to modify the lme_fit_FS code to incorporate robust regression? Best, Jessica --- Jessica Hua, M.A. Cognitive and Emotional Control Lab Doctoral Candidate Clinical Psychology University of Missouri

1 0

Release 7.0.0 is being recalled, 7.1.0 is ready for download
by Douglas N. Greve 11 May '20

11 May '20

Hi All, I regret to inform you that we are recalling 7.0.0 because we found some small issues with the way that conforming step was being performed. The conforming step takes your input volume and converts it to 256x256x256 1mm and converts the type to UCHAR (8 bit). When converting to UCHAR, it has to do some intensity rescaling. The method for doing this was changed in 7.0.0. In most data sets, this results in small changes to the output. However, we just discovered that it can result in large problems in some data sets, so, for 7.1.0, we are reverting back to the pre-7.0.0 method. Going forward, we recommend that people NOT use 7.0.0 and use 7.1.0 instead. We apologize for any inconvenience this has caused. We hope that not many data sets have been analyzed yet in the 11 days since the release. I'd like to thank our research assistant Devani Cordero for ferreting out this problem. Release notes are here: https://surfer.nmr.mgh.harvard.edu/fswiki/ReleaseNotes 7.1.0 can be obtained from here https://surfer.nmr.mgh.harvard.edu/fswiki/rel7downloads Please let us know if you have any problems best doug

1 0

Re: [Freesurfer] Compare individual to a group
by Douglas N. Greve 11 May '20

11 May '20

I guess you could apply your transform to both the healthy controls and to your patient, can then create an FSGD file with two classes as before but no continuous variable. Then just have a contrast that computes the diff between the patient and the mean of the controls. On 5/8/2020 11:49 AM, Xiaojiang Yang wrote: > > External Email - Use Caution > > Hi Douglas, > > Could you please reply my last email (sent to > freesurfer(a)nmr.mgh.harvard.edu > <mailto:freesurfer@nmr.mgh.harvard.edu>) regarding my question about > the weighted age? I am eager to listen to your answer/opinion to my > question. For your convenience, I also include the whole email chain > below this email. > > Thank you very much! > > Sincerely, > > Xiao > > <https://www.mail-archive.com/search?l=freesurfer@nmr.mgh.harvard.edu&q=from > :%22Douglas+N.+Greve%22> Douglas N. Greve > <https://www.mail-archive.com/search?l=freesurfer@nmr.mgh.harvard.edu&q=date > :20200507> Thu, 07 May 2020 14:56:08 -0700 > sorry, please include the previous email chain so that I know what you are > referring to > On 5/7/2020 5:33 PM, Xiaojiang Yang wrote: > External Email - Use Caution > Douglas, > Just as I mentioned in the initial email, subjects in the healthy > group have > different ages. Because average cortical thickness is believed to be > declined as the age gets older, I want to "normalize" the group by > multiplying each subject's thickness with an age-dependent scalar > (pre-calculated constant). Suppose I take age 30 as the "standard" > age, then > subjects with ages greater than 30 will have scalars greater than 1 > (depend > on age); subjects with ages smaller than 30 will have scalars less than 1. > In this way, all subjects in the group looks like to be at the same age > (30). > Of course, I also suspect that there is no need to do the above mentioned > normalization if I use mri_glmfit. But my initial intention was using > non-linear scalars, and mri_glmft can only use linear fit. Please give me > your opinion. Thank you! > Xiao > <https://www.mail-archive.com/search?l=freesurfer@nmr.mgh.harvard.edu&q=from > :%22Douglas+N.+Greve%22> Douglas N. Greve > <https://www.mail-archive.com/search?l=freesurfer@nmr.mgh.harvard.edu&q=date > :20200507> Thu, 07 May 2020 14:06:27 -0700 > I don't know what weight is. Can you elaborate? > On 5/7/2020 4:54 PM, Xiaojiang Yang wrote: > External Email - Use Caution > Hi Douglas, > Thank you very much! Could you please help me with more detailed > information? > 1)Should I use "Variables age" or "Variables age weight" in the fsgd file? > If I can use either of them, which one is better? > I don't know what weight is. Can you elaborate? > 2)For the contrast file, the content "1 -1 0" you mentioned, it > corresponds > to the "Variables age" fsgd file, correct? > Yes > 3)If I use the "Variables age weight" fsgd file, what will be the > content of > the contrast file? Is it "1 -1 0 0"? > Yes > Thank you again! > Xiao > <https://www.mail-archive.com/search?l=freesurfer@nmr.mgh.harvard.edu&q=from > :%22Douglas+N.+Greve%22> Douglas N. Greve > <https://www.mail-archive.com/search?l=freesurfer@nmr.mgh.harvard.edu&q=date > :20200507> Thu, 07 May 2020 11:55:27 -0700 > I think it will work properly if you use the raw data as input and > create an > FSGD file with two classes: (1) the individual subject and (2) healthy > subjects. Also include age as a covariate. Use DOSS instead of DODS. Then > set your contrast to be 1 -1 0 and run mri_glmfit. I think that should > properly account for age. > On 5/7/2020 2:44 PM, Xiaojiang Yang wrote: > External Email - Use Caution > Dear FS experts, > I have a group of healthy subjects. Given a new individual subject, I want > to compare its cortical thickness to the healthy group so that I can find > where the thickness is abnormal (thickening or thinning). > I use fsaverage as the template subject to calculate mean and std of the > healthy group. Since subjects in the healthy group have different > ages, I do > a "normalization" process to all the subjects in the group BEFORE > calculating the mean and std. Thus the normalized healthy group can be > regarded as all subjects having the same "standard" age. The normalization > process is just multiplying some pre-obtained scale (varied by age, > but not > linearly ) to the file *?h.thickness.fwhm0.fsaverage.mgh* of each subject > that are already calculated by "recon-all --qcache" command. So the > mean and > std of the group are actually weighted in the sense of Freesurfer's > recon-all results. > My questions are: > 1)If I do vertex-wise t-tests by simply comparing individual subject's > thickness to the group using mris_calc but WITHOUT using mri_glmfit, can I > still use mri_glmfit-sim to do multiple comparisons correction? If > yes, how? > 2)If the answer is no for the above question, how should I use > mris_glmft to > implement my above thoughts so that I can use use mri_glmfit-sim? > Specifically, how can I use the weighted mean for the group? > 3)Take a step back, if I consider the weight is linearly correlated > with the > age, how to design the fsdg and contrast file? > Thank you very much! > Xiao >

2 2

(No Subject)
by KennethSPrice 11 May '20

11 May '20

External Email - Use Caution Hello Freesurfer friends! I'm going through the "paired analysis" tutorial and am running into an issue with the mri_glmfit. I am running on just one subject pair. https://surfer.nmr.mgh.harvard.edu/fswiki/PairedAnalysis#Runmriglmfit I ran mris_preproc on my 2 timepoints and am getting an error at mri_glmfit mris_preproc --target fsaverage --hemi lh \ --meas thickness --out lh.paired-diff.thickness.mgh \ --fsgd pairs.fsgd --paired-diff mri_glmfit \ --glmdir lh.paired-diff \ --y lh.paired-diff.thickness.sm05.mgh \ --fsgd paired-diff.fsgd \ --osgm \ --surf fsaverage lh I am getting an ERROR: DOF = 0. MRI's have been put through recon-all and are in there own directories within SUBJECTS_DIR. What is the cause of the error? Thanks, Ken Please consider the environment before printing this e-mail Cleveland Clinic is currently ranked as one of the nation’s top hospitals by U.S. News & World Report (2019-2020). Visit us online at http://www.clevelandclinic.org for a complete listing of our services, staff and locations. Confidentiality Note: This message is intended for use only by the individual or entity to which it is addressed and may contain information that is privileged, confidential, and exempt from disclosure under applicable law. If the reader of this message is not the intended recipient or the employee or agent responsible for delivering the message to the intended recipient, you are hereby notified that any dissemination, distribution or copying of this communication is strictly prohibited. If you have received this communication in error, please contact the sender immediately and destroy the material in its entirety, whether electronic or hard copy. Thank you.

2 5

tkmedit in FreeSurfer 7.0
by Dincer, Aylin 11 May '20

11 May '20

External Email - Use Caution Hi FreeSurfer Experts, We are unable to use tkmedit using FreeSurfer 7.0 (centos 7). In the .xdebug_tkmedit file, it outputs the following error: "Tcl_Init returned 1: Can't find a usable init.tcl in the following directories: /usr/pubsw/packages/tcltktixblt/current/lib/tcl8.4" It looks like when we manually set the environmental variable TCL_LIBRARY to point to the tcl location in the $FREESURFER_HOME folder, tkmedit will open. Is there a way to fix this so it automatically sets this environmental variable? Thanks! Aylin _____________________________ Aylin Dincer Senior Research Technician NeuroImaging Laboratories Imaging Core, Benzinger Lab 314-362-3629 ________________________________ The materials in this message are private and may contain Protected Healthcare Information or other information of a sensitive nature. If you are not the intended recipient, be advised that any unauthorized use, disclosure, copying or the taking of any action in reliance on the contents of this information is strictly prohibited. If you have received this email in error, please immediately notify the sender via telephone or return mail.

1 0

← Newer
1
...
11
12
13
14
15
16
17
...
21
Older →

Jump to page:

2026

2025

2024

2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

2004

Freesurfer May 2020