Freesurfer April 2016

freesurfer@nmr.mgh.harvard.edu

122 participants
173 discussions

registration of intraparietal sulcus
by Bastian Cheng 02 May '16

02 May '16

Dear all, I am creating a hand-drawn label of the Intraparietal sulcus on fsaverge. When I register it to an individual brain (mri_label2label), the area is incorrectly registered and comprises adjacent brain structures that I am not interested in analyzing (specially the neighboring sulci). I know that registration works with my data in general, since other regions (manually drawn on fsaverage, i.e. various pre-motor areas) are correctly registered. is there any bias or "reduced" accuracy when registering regions of interest located at the parietal cortex? I am aware that aparc2009 comprises an area called "S_inrapriet_and_P_trans", but I've found that this label is not restricted to the sulcus (in individual segmentations). Any help would be appreciated!

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Tracula: a single curve for some tracts
by Xiaofu 01 May '16

01 May '16

Dear Anastasia, One quick question. I have run Tracula and found there was only one single curve for some tracts. But other tract went well I tried setting reinit parameter to 1 and rerunning "trac-all -prior" and "trac-all -path" but didn't get improved, e.g., the right UNC was a single curve (see attached). I also checked the initial seeds of right UNC (i.e.,endpt1.pd.nii.gz and endpt2.pd.nii.gz) and found those seeds were visually not correct when loaded to FA image. I guess maybe the reason of the single curve problem. Is there anyway to fix this problem? Looking forward to hearing from you. Thank you very much. Best, Xiaofu

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Recon-all -subcortseg finished with error
by Taha Abdullah 01 May '16

01 May '16

Hello All, I am running an analysis strictly on subcortical volumes, and to save time and disk space I wanted to avoid if possible construction of surfaces and seems that it is necessary? I first ran recon-all -autorecon1, second I ran recon-all -subcortseg and the final error was regarding no such file or dir, specifically the /surf/lh.white. Is there a better way to run this type of analysis to save disk space and time? Possibly using -autorecon2'; would love any input. Thank you in advance! -- Taha Abdullah Department of Physiology Northwestern University Masters of Science Physiology and Biophysics, Georgetown University 2015

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Editing brain.finalsurfs.mgz
by maryam koochaki 29 Apr '16

29 Apr '16

Dear experts,I am trying to fix the surfaces which are crossing to each other in the middle where the hemispheres reach each other.As Bruce mentioned before I am trying to create two volumes (lh.brain.finalsurfs.mgz , rh.brain.finalsurfs.mgz ) nad edit them individually.Then I want to rerun this command for each hemi:mris_make_surfaces -subjid <name> -whiteonly -noaparc -mgz -T1 lh.brain.finalsurfs lh mris_make_surfaces -subjid <name> -white NOWRITE -mgz -T1 lh.brain.finalsurfs lh Am I using the correct command?What should I expect to have after running this command line(for example first one)?Sould I rerun (recon-all -autorecon-pial ) after all? Thanks in advance for the help, Maryam

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Lme and random effect
by Patrizia Dall'Acqua 29 Apr '16

29 Apr '16

Dear FS-Group I use the lme matlab tools for my longitudinal analysis and everything works fine. My dataset consists of 2 time-points and 2 groups (patients and controls) and my design matrix X contains 4 columns (1. intercept, 2. time, 3. group, 4. interaction group*time). As suggested from the mailing list archive, I used the intercept as the random effect since I have only 2 time points and I found some interesting results. However, I still don’t understand why I should choose the intercept for my model and not for example the time or the interaction as the random effect. THANK you for any help! All best wishes, Patrizia

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Re: [Freesurfer] ERROR: DOF=0 in call to mri_glmfit by preproc-sess
by Mcnorgan, Christopher 28 Apr '16

28 Apr '16

?That seems to have been the problem: Running the data through Slicer as suggested elsewhere fixed the slice time code, but then saved only a single frame of the 4D data. I had been poking around the file header looking for a corresponding field, not suspecting that it was a calculated value and that my data had been truncated, nor noticing that my image dimensionality field had changed value. I wrote a MATLAB script to modify the slice time value (in addition to the TR value, which was also incorrectly set in my data) and was going to publicize the script, only to discover the FSL program fsledithd already exists and is clearly preferable to the Slicer solution for fixing strange NifTI header information. The data now run through preproc-sess without error. So to summarize for search engines: slice_code errors and other strange header information can be repaired with fsledithd, and the DOF=0 error was the result of an unexpected deletion of all but one time point by Slicer. Incidentally, the data were converted from DICOM to NifTI using MRI Convert (Windows), so it is possible that this program populates some header fields with strange default values -- I mention this because 5 is not a valid slice code according to the NifTI header specification, and others have posted problems related to this header field. Thanks, Chris Douglas N Greve<http://www.mail-archive.com/search?l=freesurfer@nmr.mgh.harvard.edu&q=from:…> Thu, 28 Apr 2016 10:05:59 -0700<http://www.mail-archive.com/search?l=freesurfer@nmr.mgh.harvard.edu&q=date:…> Does that run only have 1 time point?

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ROIs2Label
by Sahil Bajaj 28 Apr '16

28 Apr '16

Dear FreeSurfer experts, I have a surface ROI defined in MNI co-ordinate system, ROI.mgh, I am interested in converting it into label. I tried following steps: (1). mri_cor2label --i ROI.mgz --id 1 --l X.label (2). mri_label2label --srclabel X.label --s fsaverage --trglabel Xnew.label --hemi lh --paint 30 This gives me final .label file as Xnew.label, then I tried to check if this is correct using: (3). tksurfer fsaverage lh inflated -overlay ROI.mgh -fthresh 0.5 and then on top of it File>load label>Xnew.label Now the new Xnew.label is not matching with ROI.mgz. Can someone please help me to figure out what I am doing wrong here? Also, how can I view the label in FreeView i.e. is there any way to load this new label just like LookUp Table? Thanks, Sahil -- ------------------------------------------------- Sahil Bajaj Post-doctoral Fellow Nantz National Alzheimer's Center, Department of Neurology The Houston Methodist Research Institute (THMRI) Houston, TX, USA. E-mail:sahil.brain@gmail.com <E-mail%3Asahil.phy(a)gmail.com>

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ERROR: DOF=0 in call to mri_glmfit by preproc-sess
by Mcnorgan, Christopher 28 Apr '16

28 Apr '16

Hi, First, thanks to Doug Greve for helping me isolate my previous problem, which turns out to have resulted from a conflicting fsl installation. Now that that's resolved, I'm having a problem on a first-level analysis. In preparation for calling selxavg3-sess, I am running preproc-sess on an individual and am running into an error where the reported DOF is 0. The peculiar thing is that these steps work fine with another data set -- from the same participant at an earlier time point doing the same task with the same parameters (though the procedure to convert the DICOM to nii data was not necessarily the same at both time points; unfortunately the original DICOM files are unavailable to me). I am able to take the time1 data to the completion of FS-FAST, but the time2 data halts at this error. A potentially relevant difference between the two data sets is that, for the functional data that worked, I was able to carry out these steps on the original f.nii file, whereas problematic data was first converted to a .mgz file in Slicer to fix an "unsupported slice timing pattern 5" error (a search in the archives suggested that Slicer would solve this problem, which seems to be the case). I'm not clear where this dof value comes from and if anything about the .nii file header can be manipulated to fix the problem. The fact that the slice timing pattern was off in the problematic data might be symptomatic of a generally compromised .nii header (SPM doesn't seem to do anything with much of this header information, allowing some invalid header information to go undetected). Thanks Below is the tail end of the preproc-sess output where it reports the error: $Id: mri_glmfit.c,v 1.196.2.8 2012/11/01 18:51:41 greve Exp $ cwd /home/chris/ubfs/cpmcnorg/openfmri/booth/FS_T2_501/bold cmdline mri_glmfit --table /home/chris/ubfs/cpmcnorg/openfmri/booth/FS_T2_501/bold/029/tmpdir.mcdat2extreg.26783/table.dat --glmdir /home/chris/ubfs/cpmcnorg/openfmri/booth/FS_T2_501/bold/029/tmpdir.mcdat2extreg.26783/glm --osgm --y-out /home/chris/ubfs/cpmcnorg/openfmri/booth/FS_T2_501/bold/029/tmpdir.mcdat2extreg.26783/y.out.nii --pca sysname Linux hostname accumbens machine x86_64 user chris FixVertexAreaFlag = 1 UseMaskWithSmoothing 1 OneSampleGroupMean 1 y /home/chris/ubfs/cpmcnorg/openfmri/booth/FS_T2_501/bold/029/tmpdir.mcdat2extreg.26783/table.dat logyflag 0 usedti 0 glmdir /home/chris/ubfs/cpmcnorg/openfmri/booth/FS_T2_501/bold/029/tmpdir.mcdat2extreg.26783/glm IllCondOK 0 ReScaleX 1 DoFFx 0 Creating output directory /home/chris/ubfs/cpmcnorg/openfmri/booth/FS_T2_501/bold/029/tmpdir.mcdat2extreg.26783/glm Loading y from /home/chris/ubfs/cpmcnorg/openfmri/booth/FS_T2_501/bold/029/tmpdir.mcdat2extreg.26783/table.dat Found 6 data colums Found 1 data rows Saving design matrix to /home/chris/ubfs/cpmcnorg/openfmri/booth/FS_T2_501/bold/029/tmpdir.mcdat2extreg.26783/glm/Xg.dat Normalized matrix condition is 1 Matrix condition is 1 search space = 6.000000 DOF = 0 ERROR: DOF = 0

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Group analysis GLM
by WENJunhao 28 Apr '16

28 Apr '16

Hello, freesurfer experts:I am following the tutorial of freesurfer group analysis of command-line_GLM, and for practice, i just include four subjects, which are divided into two groups, AD and CN, so I want to test if the thickness of the two groups differs from zero!I just followed the tutorial: here is my command for the different steps: #first step: set the SUBJECTS_DIR!export SUBJECTS_DIR=/aramis/home/wen/HAO_lab/Nipype/Data_AD/Group_analysis_freesurfer #second step: assemble the datamris_preproc --fsgd disease_age.fsgd \ --cache-in thickness.fwhm10.fsaverage \ --target fsaverage \ --hemi lh \ --out lh.disease_age.thickness.10.mgh### in this step, we will use the commands: mris_preproc, and mri_concat, which is to concatenates the input data sets #third step: GLM analysis(mri_glmfit)mri_glmfit \ --y lh.disease_age.thickness.10.mgh \ --fsgd disease_age.fsgd dods \ --C lh_thickness_age-Cor.mtx \ --surf fsaverage lh \ --cortex \ --glmdir lh.disease_age.glmdir #4th step: visualize the datafreeview -f $SUBJECTS_DIR/fsaverage/surf/lh.inflated:annot=aparc.annot:overlay=lh.disease_age.glmdir/lh_thickness_age-Cor.mtx/sig.mgh:overlay_threshold=4,5 -viewport 3d but after the third step, in the directory 'lh.disease_age.glmdir', i missed a lot of files, I just got four files, (mask.mgh, mri_glmfit.log, surface, Xg.dat), in the tutorial, there are a bunch of files and a subdirectory which should be 'lh_thickness_age-Cor', so I think i will miss the sig.mgh for the fourth step.... I checked all my step, before the third step, everthing is ok, and from the terminal , here is the result of the GLM analysis: gdfReadHeader: reading disease_age.fsgdINFO: DeMeanFlag keyword not found, DeMeaning will NOT be done.Continuous Variable Means (all subjects)0 age 71.5 6.34429Class Means of each Continuous Variable1 CN 69.5000 2 AD 73.5000 INFO: gd2mtx_method is dodsReading source surface /aramis/home/wen/HAO_lab/Nipype/Data_AD/Group_analysis_freesurfer/fsaverage/surf/lh.whiteNumber of vertices 163842Number of faces 327680Total area 65416.648438AvgVtxArea 0.399267AvgVtxDist 0.721953StdVtxDist 0.195470 $Id: mri_glmfit.c,v 1.196.2.8 2012/11/01 18:51:41 greve Exp $cwd /aramis/home/wen/HAO_lab/Nipype/Data_AD/Group_analysis_freesurfer/glmcmdline mri_glmfit --y lh.disease_age.thickness.10.mgh --fsgd disease_age.fsgd dods --C lh_thickness_age-Cor.mtx --surf fsaverage lh --cortex --glmdir lh.disease_age.glmdir sysname Linuxhostname HP1973machine x86_64user wenFixVertexAreaFlag = 1UseMaskWithSmoothing 1OneSampleGroupMean 0y /aramis/home/wen/HAO_lab/Nipype/Data_AD/Group_analysis_freesurfer/glm/lh.disease_age.thickness.10.mghlogyflag 0usedti 0FSGD disease_age.fsgdlabelmask /aramis/home/wen/HAO_lab/Nipype/Data_AD/Group_analysis_freesurfer/fsaverage/label/lh.cortex.labelmaskinv 0glmdir lh.disease_age.glmdirIllCondOK 0ReScaleX 1DoFFx 0Creating output directory lh.disease_age.glmdirLoading y from /aramis/home/wen/HAO_lab/Nipype/Data_AD/Group_analysis_freesurfer/glm/lh.disease_age.thickness.10.mghINFO: gd2mtx_method is dodsSaving design matrix to lh.disease_age.glmdir/Xg.datNormalized matrix condition is 278.004Matrix condition is 10286.8Found 149955 points in label.Pruning voxels by thr: 0.000000Found 149955 voxels in maskSaving mask to lh.disease_age.glmdir/mask.mghReshaping mriglm->mask...search space = 74612.965197DOF = 0ERROR: DOF = 0 does anyone can give me a hint? cuz i have been stuck for a while...Thank you Junhao WEN Institut du Cerveau et de la Moelle épinière - ICM CNRS UMR 7225 - Inserm U 1127 - UPMC-P6 Équipe ARAMIS / Projet CLINICA Hôpital de la Pitié-Salpêtrière - 47, boulevard de l'Hôpital – 75013 Paris Tél:+ 33 (0)1 57 27 40 00

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ROIs and labels during functional connectivity
by Martin Juneja 28 Apr '16

28 Apr '16

Dear FreeSurfer experts, I am using FsFast functional connectivity walkthrough steps to analyze fMRI data from: http://surfer.nmr.mgh.harvard.edu/fswiki/FsFastFunctionalConnectivityWalkth… I am able to run all these steps successfully and can view the voxel-wise distribution maps. I was wondering if it's possible to: (1). overlay externally defined ROIs (e.g. R1.nii) on these maps e.g. on pcc (partial correlation coefficient) to find the correlation coefficient between R1.nii and seed region, may be averaged over voxels or voxel-wise? (2). display labels (name of the areas) as well on the distribution maps? Any help would be really appreciated. Regards, MJ

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Freesurfer April 2016