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30135 discussions

help extracting Brodmann areas masks
by David Provencher 08 Sep '14

08 Sep '14

Hi, I am new to freesurfer and I am trying to figure our how to extract 3d masks in native space for the visual cortex (BA 17,18,19) of individual subjects. I have looked at other threads similar to this, but there are still a few things I can't figure out in generating the masks (the conversion to native space should be fine). 1- I ran recon-all and I have V1, V2 and MT labels. My knowledge of brain anatomy is very limited, but if I understand correctly, this equates to BA 17, 18 and V5, so I don't have access to all of B19 (V3, V4 and V5), right? 2- I managed to convert V1, V2 and MT labels to 3d masks using mri_label2vol and it seems to work at first glance when I looked at the generated file with freeView. However, I read in the mailing list that mri_label2vol produces "patchy" volumes and that it is preferable to use mri_aparc2aseg instead. That's what I can't figure out. From what I understand, mri_aparc2aseg aims to map the surface labels of interest to the segmented volumes? I tried doing the following (I altered some file names/paths for readability): # convert labels to annotation (outputs lh.myAnnot.annot & rh.myAnnot.annot)) mris_label2annot --s <subject> --h lh --l lh.V1.label --l lh.V2.label ---l lh.label --ctab BA.ctab --a annot mris_label2annot --s <subject> --h rh --l rh.V1.label --l rhV2.label ---l rh.label --ctab BA.ctab --a annot # convert to volume mri_aparc2aseg --s <subject> --annot myAnnot.annot --o lh.asegTest.mgz When I look at the asegTest.mgz file in freeView, I only see segmented cortical volumes and I can't see anything related to V1, V2 or MT, so I assume that I don't use mri_aparc2aseg correctly, but I can't manage to make it work. Any help would be appreciated! David

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Re: [Freesurfer] does Tracula correct for CSF contamination
by Anastasia Yendiki 08 Sep '14

08 Sep '14

Hi Laura - Apologies, I just found your email and realized I hadn't answered earlier. Which tract are you concerned about being contaminated by CSF? a.y On Wed, 27 Aug 2014, Laura Christine Anderson wrote: > Dear Tracula users, does anyone know whether or not Tracula uses any corrections for CSF > contamination? > > Thanks for your time, > Laura > -- > Laura Anderson, B.A. > Graduate Student > Clinical / Developmental Psychology > University of Maryland > College Park, MD 20742 > BPS 0112 > >

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Question about "mri_convert"
by Nooshin Zadeh 08 Sep '14

08 Sep '14

Dear FreeSurfer experts, I get a new message when I use "mri_convert" command to convert dicom to mgz. I used to apply this command before and there was no problem. I wonder what is the reason that I get the new message. In addition, it does not create mgz file. *mri_convert "/M1/t1_se_ax_5/IM-0004-0001.dcm" "/FS/M1/mri/orig/001.mgz"* mri_convert /M1/t1_se_ax_5/IM-0004-0001.dcm /FS/M1/mri/orig/001.mgz $Id: mri_convert.c,v 1.166.2.2 2010/08/10 19:11:50 greve Exp $ reading from /M1/t1_se_ax_5/IM-0004-0001.dcm... Getting Series No Scanning Directory INFO: Found 39 files in /Users/christine/Raw_Data/M226/t1_se_ax_5 INFO: Scanning for Series Number 5INFO: found 37 files in series INFO: loading series header info. I appreciate if you can advise me. Regards, Nooshin

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Functional connectivity
by Martin Scherr 08 Sep '14

08 Sep '14

Dear Freesurfer experts, We are trying to perform a resting state functional connectivity analysis (seed based, seed = PCC) in a single patient. How can we visualize the map of the (expected) DMN of this single patient in freeview? We tried an overlay with <subjectname>/mri/orig.mgz and <session>/bold/fc.lpccseed.surf.lh/pr001/L_Posteriorcingulate/sig.nii.gz which didn't work. Please help! Best, Martin

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Freesurfer at 7T
by Lucy Hiscox 08 Sep '14

08 Sep '14

Dear Freesurfer experts, I am currently trying to segment a 7T image at 0.8 isotropic resolution. I have an MPRAGE scan and a Gradient echo, and want to coregister the data before processing to correct for inhomogenities, but unsure whether I can use FSL instead of SPM. I am following these instructions: https://surfer.nmr.mgh.harvard.edu/fswiki/HiResRecon I am new to SP8 and not sure what I would have to do with this information specifically: (i1./i2 .* (i2>20)) .* 100. Also, is it possible to just use the recon-all process or would you recommend going through each step individually outlined above? Is the second option the option for keeping the voxels at 0.8? Furthermore, I read somewhere that you have to use the -cm -aseg command to keep the voxels the same. is this true? Best wishes and many thanks, Lucy -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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Process with a 0.23T scan
by merlinva2012＠grannet.grm.sld.cu 08 Sep '14

08 Sep '14

Dears experts, I would be very grateful if help me with the following doubts: 1- My data was collected with a 0.23T scan. How i can process it?,Should i make any kind of pre-process before to begin with recon-all? 2- I want only to get the statistics of the caudate nucleus. Is there any way to obtain only this in the segmentation and therefore save time? Thank you. Dr. Merlin Vedecia -- Nunca digas nunca, di mejor: gracias, permiso, disculpe. Este mensaje le ha llegado mediante el servicio de correo electronico que ofrece Infomed para respaldar el cumplimiento de las misiones del Sistema Nacional de Salud. La persona que envia este correo asume el compromiso de usar el servicio a tales fines y cumplir con las regulaciones establecidas Infomed: http://www.sld.cu/

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GLM: table with uncorrected clusters
by Robby De Pauw 08 Sep '14

08 Sep '14

Dear FS-community Thx to Doug I was able to successfully run a first analysis. However, I’d like to have a table of the uncorrected clusters. Is there any flag I can add to write these clusters to some sort of txt-file with the p-values etc.? I’m using the mri_glmfit command. Thanks, Best regards Robby Robby De Pauw, dra. Ghent University Department of Physiotherapy and Rehabilitation Sciences 3B3 De Pintelaan 185 B-9000 Ghent Robby.DePauw(a)Ugent.be

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Intraindividual Correlation
by Martin Scherr 08 Sep '14

08 Sep '14

Dear Freesurfer-community, here is a question from a Freesurfer newbie. I am trying to correlate vertex measures of function (z) and structure (cortical thickness) vertex wise in the individual subject space of one patient. What would be a good tool for this? Best, Martin

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selxavg3-sess error
by Francesca Strappini 08 Sep '14

08 Sep '14

Dear all, I've run selxavg3-sess and I got this error message when it tried to read the fmcsm file (fmc.sm5.DM.lh.nii.gz). Thank you for your help, Francesca shalim-ubuntu:/usr/local/freesurfer/fsfast/MeytalRetinotopy> selxavg3-sess -a rtopy.DM.lh -s SUBJ01 Surface data DM lh -------------------------------------------------------------- selxavg3-sess logfile is /usr/local/freesurfer/fsfast/MeytalRetinotopy/log/selxavg3-sess-bold-rtopy.DM.lh-140828163352.log -------------------------------------------------------------- ------------------------------------------- /usr/local/freesurfer/fsfast/MeytalRetinotopy/SUBJ01 Thu Aug 28 16:33:53 IDT 2014 anadir = /usr/local/freesurfer/fsfast/MeytalRetinotopy/SUBJ01/bold/rtopy.DM.lh DoGLMFit = 1 DoContrasts = 1 UpdateNeeded = 1 ------------------------------------------ ------- matlab output -------------------- No window system found. Java option 'MWT' ignored. Warning: Unable to open display 'iconic'. You will not be able to display graphics on the screen. Warning: No window system found. Java option 'MWT' ignored. < M A T L A B (R) > Copyright 1984-2013 The MathWorks, Inc. R2013b (8.2.0.701) 64-bit (glnxa64) August 13, 2013 To get started, type one of these: helpwin, helpdesk, or demo. For product information, visit www.mathworks.com. >> >> >> >> >> >> >> sxa3pwd = /usr/local/freesurfer/fsfast/MeytalRetinotopy >> sxa3cmd = /usr/local/freesurfer/fsfast/bin/selxavg3-sess -a rtopy.DM.lh -s SUBJ01 >> /usr/local/freesurfer/fsfast/toolbox/fast_selxavg3.m >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> #@# SUBJ01 ############################### /usr/local/freesurfer/fsfast/MeytalRetinotopy/SUBJ01 ------------------------- $Id: fast_selxavg3.m,v 1.100.2.2 2012/11/30 18:40:38 greve Exp $ /usr/local/freesurfer/fsfast/toolbox/fast_selxavg3.m /usr/local/freesurfer/fsfast/toolbox/fast_ldanaflac.m /usr/local/freesurfer/fsfast/MeytalRetinotopy/MRIread.m ------------------------- outtop = /usr/local/freesurfer/fsfast/MeytalRetinotopy Extension format = nii.gz ERROR: cannot determine format of /usr/local/freesurfer/fsfast/MeytalRetinotopy/SUBJ01/bold/001/fmcsm5 ERROR: attempting to read /usr/local/freesurfer/fsfast/MeytalRetinotopy/SUBJ01/bold/001/fmcsm5 ------------------------------------------ ERROR: fast_selxavg3() failed\n

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mri_preproc
by shinjini＠andrew.cmu.edu 08 Sep '14

08 Sep '14

Hi, I couldn't find the documentation for mri_preproc. I know that roughly it resamples multiple subjects' brain images into the same space and then concatenates the vertices, but I want to know details like: Exactly how are the brains resampled? What is the procedure beyond the Talairach affine and spherical registration steps? Individual brain images have different numbers of vertices. Which vertices are chosen overall? How are they chosen? How is correspondence between a single vertex location across all the images established? Is the finite element approximation and vertex selection procedures invariant? Do they yield the same set and location of vertices despite minor variations? Under what conditions are they invariant? After the vertices are obtained how are they concatenated? Are they listed in a particular order and is this order the same for all the brains? How is the order determined? Thanks in advance for your reply, ~Jen

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