Freesurfer

freesurfer@nmr.mgh.harvard.edu

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30135 discussions

QDEC tutorial data- problem in downloading
by Saurabh Thakur 07 Apr '14

07 Apr '14

Hello Freesurfer , I am looking forward for alternative mirror link to download the QDEC data. i.e Buckner_data_tutorial_subj Since link provided is not working. I have tried many times. Thanks in advance, cheers Saurabh Thakur,

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Re: [Freesurfer] SNR on DTI data
by Anastasia Yendiki 07 Apr '14

07 Apr '14

Signal-to-noise ratio = mean / standard deviation On Tue, 18 Mar 2014, Yuko Yotsumoto wrote: > Anastasia, > > Thank you so much for your reply. > > So I should calculate the mean and s.d. of the values of the low-b within the white matter region for each subject, and compare those numbers between groups. > Is it correct to say that the higher mean values indicate larger SNR? > > Yuko > > On Mar 18, 2014, at 12:53 AM, Anastasia Yendiki wrote: > >> >> Hi Yuko - You can use the low-b images and compute the SNR of those images inside a mask of the white matter. Because dt_recon computes a registration from the diffusion to the structural data, you can use that registration to map the white matter label from the freesurfer segmentation (aseg) to the diffusion data. Then calculate the mean and standard deviation of the values of the low-b images inside that white matter mask. >> >> Hope this helps, >> a.y >> >> On Mon, 17 Mar 2014, Yuko Yotsumoto wrote: >> >>> Hello Freesurfers, >>> I have DTI data for two groups of subjects, and were asked SNR for each >>> group. >>> I did ROI analysis on FA values, therefore, I do not have the averaged DTI >>> data. >>> I am wondering if there is any way to compute SNR from dt_recon output. It >>> doesn't have to be the ROI specific SNR values, I just need SNR for the >>> whole DTI data for each group. >>> Any suggestions will be appreciated! >>> Yuko Yotsumoto >>> --- >>> ------------------------------------------------------------- >>> Yuko Yotsumoto, Ph. D. >>> Associate Professor >>> The University of Tokyo, Department of Life Sciences >>> Bldg #2, 3-8-1 Komaba, Meguro-ku, Tokyo 153-8902 Japan >>> phone : (+81)-3-5454-4332 >>> E-mail: cyuko(a)mail.ecc.u-tokyo.ac.jp >> _______________________________________________ >> Freesurfer mailing list >> Freesurfer(a)nmr.mgh.harvard.edu >> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer >> >> >> The information in this e-mail is intended only for the person to whom it is >> addressed. If you believe this e-mail was sent to you in error and the e-mail >> contains patient information, please contact the Partners Compliance HelpLine at >> http://www.partners.org/complianceline . If the e-mail was sent to you in error >> but does not contain patient information, please contact the sender and properly >> dispose of the e-mail. > > > >

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mri_ca_label killed process
by Francesco Baldacchini 07 Apr '14

07 Apr '14

Hi everybody, I'm studying every command contained inside recon all to track a probable problem we have with our patients. I've reached mri_ca_label command but the process stop while running and it's not giving me any error, the terminal just show the word "killed", I pasted it here: Left_Pallidum (13): linear fit = 1.01 x + 0.0 (207 voxels, overlap=1.017) Left_Pallidum (13): linear fit = 1.01 x + 0.0 (207 voxels, peak = 97), gca=97.4 gca peak = 0.27536 (62) mri peak = 0.08851 (78) Right_Hippocampus (53): linear fit = 1.24 x + 0.0 (667 voxels, overlap=0.021) Right_Hippocampus (53): linear fit = 1.24 x + 0.0 (667 voxels, peak = 77), gca=76.6 gca peak = 0.32745 (63) mri peak = 0.09108 (77) Left_Hippocampus (17): linear fit = 1.22 x + 0.0 (655 voxels, overlap=0.253) Left_Hippocampus (17): linear fit = 1.22 x + 0.0 (655 voxels, peak = 77), gca=76.5 gca peak = 0.08597 (105) mri peak = 0.06731 (110) Right_Cerebral_White_Matter (41): linear fit = 1.04 x + 0.0 (15659 voxels, overlap=0.608) Right_Cerebral_White_Matter (41): linear fit = 1.04 x + 0.0 (15659 voxels, peak = 110), gca=109.7 gca peak = 0.09209 (106) mri peak = 0.05510 (99) Left_Cerebral_White_Matter (2): linear fit = 0.99 x + 0.0 (13532 voxels, overlap=0.871) Left_Cerebral_White_Matter (2): linear fit = 0.99 x + 0.0 (13532 voxels, peak = 104), gca=104.4 Killed francesco@francesco-F3JP:~$ I wasn't able to find any log file to find the cause. Anybody can help me with this? Thanks in advice, Francesco Baldacchini

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ROI analyses
by Emily Boeke 07 Apr '14

07 Apr '14

Hi Freesurfers, I have some questions about ROI analyses. 1. I use the mni305 and fsaverage flags during preprocessing. Does this mean that when I run funcroi-config, funcroi-sess, etc, the analysis is being done for each subject in mni305 space, as opposed to native space? Meaning, If I specify -seg aseg.mgz 18 in funcroi-config, the analysis will not be done using the left amygdala from that individual's aseg, but instead will be done in mni305 space with the fsaverage left amygdala ROI? 2. I sometimes want to use labels I've created on fsaverage from averaged group activation to do ROI analyses. If the ROI is in the volume, I convert the label to a mask and run: mri_segstats --i cespct.nii.gz --seg mymask.mgz --id 1 --avgwf ces.mymask.dat In the appropriate contrast folder. What should I do if I want to do the same thing, but with a surface label (in a lh or rh surface analysis, not an mni305 analysis)? Thanks! Emily

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ESMRMB Lectures on MR:Resting State fMRI - basic concepts, methods & applications {Disarmed}
by Leemon Albert 07 Apr '14

07 Apr '14

*ESMRMB Lectures on MR:* *Resting State fMRI - basic concepts, methods & applications* *Cambridge - May 19-21, 2014* *Only few places left!* Dear all, After the big success of our previous workshops in Magdeburg and Vienna, we are glad to announce the *2014* *Resting State Educational Workshop* taking place in *Cambridge (UK), May 19-21*. The 3-day educational workshop, organized together with the ESMRMB - Lectures on MR Series, is specifically aimed at researchers novel to the field of resting state fMRI, who are currently planning or carrying out resting state experiments. The lectures will provide an in-depth overview of all relevant features of resting state fMRI, including physiology, data acquisition and analysis, as well as applications in both healthy and patient populations. In addition, we offer *a full day hands-on training session*, in which participants will learn to carry out the basic steps of three commonly used analysis methods: seed based correlations, ICA, and graph analysis. The workshop has an intimate and highly interactive character and provides a unique chance for participants to discuss methodological issues with experienced researchers in the field of resting state. Confirmed faculty: Catie Chang (NIH, USA) Peter Fransson (Stockholm, Sweden) Mika Rubinov (Cambridge, UK) Vesa Kiviniemi (Oulu, Finland) Ilya Veer (Berlin, Germany) Martin Walter (Magdeburg, Germany) For more information on the course program and speakers, or to simply register, please visit *www.esmrmb.org <http://hwww.esmrmb.org>*. The registration fee for PhD students and physicians in training is EURO 240 for ESMRMB members and EURO 335 for non-members, which includes access to the workshop, a digital course syllabus, full catering of lunches and coffee breaks, and a welcome reception. We are looking forward to see you in Cambridge! Martin Walter Mika Rubinov Ilya Veer

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reading colorized labels in tcl file to tksurfer...
by Rudolph Pienaar 07 Apr '14

07 Apr '14

Hi all -- I have a process that generates a list of ROIs (from aparc.annot) based on some cost condition. I wanted to view these labeled ROIs in 'tksurfer'. I created the following rough tcl script: 'label_load.tcl' set label lh.bankssts.label ; read_and_color_labeled_vertices 255 255 0 set label lh.caudalanteriorcingulate.label ; read_and_color_labeled_vertices 255 255 10 set label lh.caudalmiddlefrontal.label ; read_and_color_labeled_vertices 255 255 20 set label lh.cuneus.label ; read_and_color_labeled_vertices 255 255 30 set label lh.inferiorparietal.label ; read_and_color_labeled_vertices 255 255 40 set label lh.lateraloccipital.label ; read_and_color_labeled_vertices 255 255 50 and then ran with tksurfer <subj> <hemi> <surface> -tcl label_load.tcl The labels all load, but they are all the same teal-like color. I'm guessing that I am using the wrong tksurfer internal command... I have looked through the wiki, but didn't immediately see a solution. Help? Best -=R -- Rudolph Pienaar, M.Eng, D.Eng / email: rudolph(a)nmr.mgh.harvard.edu MGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging 149 (2301) 13th Street, Charlestown, MA 02129 USA

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wm and pial edits - what to correct and what not?
by Markus Gschwind 07 Apr '14

07 Apr '14

Dear all, I would like to show some very frequent and typical cases of segmentation problems in my bunch of data of normal subjects (after recon-all), of which I couldn't find a description in the wiki ( http://surfer.nmr.mgh.harvard.edu/fswiki/FreeviewGuide/FreeviewWorkingWithD… ). I am therefore not sure if these types of error are serious and will affect later results like thickness, curvature, GWR, etc. Here are the examples (c.f. attached screenshots from Freeview) 1) In the primary sensory-motor cortex it frequently happens that the "?h.white" line lies several mm within the wm border (c.f. yellow arrow), I did not observe this behavior in other places. >>Would I need to edit that? 2) Sometimes the "?h.pial" line includes also dura or parts of the skull (green arrow). >>Is it necessary to edit that as well? 3) Another question concerns the yellow parts of the wm which sometimes are much larger than the ventricles and also include both caudate nuclei (not shown). >>Is this a problem? Thanks in advance!! Markus

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Applications open for the Neurobiology of Cognition GRC/GRS!
by Caspar M. Schwiedrzik 06 Apr '14

06 Apr '14

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Re: [Freesurfer] extracting mean thickness values across subjects from qdec clusters
by Douglas N Greve 04 Apr '14

04 Apr '14

Can you upload the y.mgh file and fsgd file so that I can try to replicate it? What platform are you running on and what version of FS? doug On 04/02/2014 06:34 PM, Tudor Popescu wrote: > Hi Doug > Sorry, again I wasn't sure whether you'd noticed my reply amonst the > latest list messages. Hopefully there is a fix for this error. > Thanks > Tudor > > > On 2 April 2014 12:33, Tudor Popescu <tudor3(a)gmail.com > <mailto:tudor3@gmail.com>> wrote: > > > > Your mri_glmfit-sim command line is not correct and > does not match > examples in the help. Basically you need to spec > "--cache 1.3 abs" > not "--cache 1.3 --sim-sign abs" > > Thanks Doug, now it worked, however I'm getting this > error, which several other people seem to get: "Computing > spatial average of each frame > 0 1 2*** glibc detected *** mri_segstats: malloc(): > memory corruption: 0x2e8df328 ***". I am running FS 5.3.0 > through VirtualBox, 2GB ram allocated. > > What is your full command line? Sometimes this happens when > setting the cwp to 1 (or close to 1). > > > My command was > mri_glmfit-sim --glmdir > /media/math/all38subj/qdec/A2SepGroup_C_DODS_lgi_lh --cache 1.3 abs > therefore I did not change the --cwpvalthresh input argument, > meaning cwp presumably stayed at its default of .05. > Terminal output is attached. > What else can I try to make this command work? > > -- Douglas N. Greve, Ph.D. MGH-NMR Center greve(a)nmr.mgh.harvard.edu Phone Number: 617-724-2358 Fax: 617-726-7422 Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2 www.nmr.mgh.harvard.edu/facility/filedrop/index.html Outgoing: ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/

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TRACULA longitudinal stream - length of Center variable
by Vincent Brunsch 04 Apr '14

04 Apr '14

Dear TRACULA experts, I have used the longitudinal version and find that for some subjects' tracts Len_Min is larger than Len_Center. How is this possible? (An extreme example is Len_Min: 36, Len_Max: 75, Len_Center: 4.) Best, Vincent --- This email is free from viruses and malware because avast! Antivirus protection is active. http://www.avast.com

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