Freesurfer

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30076 discussions

help with subjects concatenation/dimension inconsistency error
by Barletta, Valeria 06 Nov '18

06 Nov '18

Dear FreeSurfers, I am trying to apply surface processes to concatenate my cohort, but for some subjects I am getting this error: mri_surf2surf --srcsubject Ctrl034_R01_07 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval /autofs/space/alicudi_002/users/mscat/users/valeria/2017_CME_MTR_PET/2017_MTR_PET/T1/allSubj/tmp.mris_preproc.61312/Ctrl034_R01_07.18.mgh --sval /autofs/space/alicudi_002/users/mscat/users/caterina/3T/recons_fsv5.3/Ctrl034_R01_07/surf/overlay/rh.T1_mp2rage_depth0.5_fwhm3.mgh --noreshape --no-cortex ERROR: dimension inconsistency in source data Number of surface vertices = 138446 Number of value vertices = 137970 Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg srcsubject = Ctrl034_R01_07 srcval = /autofs/space/alicudi_002/users/mscat/users/caterina/3T/recons_fsv5.3/Ctrl034_R01_07/surf/overlay/rh.T1_mp2rage_depth0.5_fwhm3.mgh srctype = trgsubject = fsaverage trgval = /autofs/space/alicudi_002/users/mscat/users/valeria/2017_CME_MTR_PET/2017_MTR_PET/T1/allSubj/tmp.mris_preproc.61312/Ctrl034_R01_07.18.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = (null) label-trg = (null) OKToRevFaceOrder = 1 Reading source surface reg /autofs/space/alicudi_002/users/mscat/users/caterina/3T/recons_fsv5.3/Ctrl034_R01_07/surf/rh.sphere.reg Loading source data And the script running stops immediately after. I already tried to relaunch the -autorecon2 -autorecon3 command for those subjects, since we already had this kind of issue in the past, but it didn't work. Do you have any idea of what could be the problem? Thank you very much, Valeria

2 2

ICV normalization (longitudinal pipeline)
by Martin Juneja 06 Nov '18

06 Nov '18

External Email - Use Caution Hello FS experts, I am using longitudinal processing pipeline ( https://surfer.nmr.mgh.harvard.edu/fswiki/LongitudinalProcessing) to calculate the cortical volume (CV) over a course of treatment (two conditions: pre condition and post condition). In fact, I am interested in comparing normalized CV (NCV) i.e. raw CV/ ICV between pre- and post-condition. (1). Now, longitudinal pipeline assumes that there is no change in ICV so it gives me identical ICV for pre and post condition. That way, when I compared NCV between pre and post condition, it gives me differences at significant level of 0.16. (2). However, when I checked ICV (from cross-sectional pipeline i.e. each time-point separately) and compared between pre and post-conditions, ICV values are different. Its possible that these values could be different because of treatment (may be !). When I compared NCV between pre and post condition (calculated by dividing raw CV from longitudinal pipeline with ICV values form cross-sectional pipeline), it gives me significant differences at 0.02. Could you please share your thoughts on this i.e. (a) whether I can use approach 2 or (b) if I am using longitudinal pipeline, dividing raw CV from longitudinal pipeline and dividing by ICV calculated from cross-sectional is in correct way to do this analysis? Thanks.

2 1

Recon-all run error
by 1013364183 06 Nov '18

06 Nov '18

External Email - Use Caution Dear FS, When we run “recon-all” with a 5GB high-resolution image, core dumped appears when the mri_convert command is executed. The specific errors are as follows: /opt/el7/pkgs/freesurfer/freesurfer_6.0/bin/mri_convert: line 3: 29235 Aborted (core dumped) mri_convert.bin "$@" ERROR: converting to minc We want to know if our high resolution image is too large for freesurfer to handle, or our computer memory (64GB running memory) is limited. Thanks a lot in advance! yours sincerely, yu junjie

2 3

İlt: Desikan Atlas in volume space
by ece ulug 06 Nov '18

06 Nov '18

External Email - Use Caution Dear Experts, I am very beginner in Freesurfer, and I want to use 'read_annotation' function but i don't know what is the next step. I added the Matlab screenshoot. Additionally; 'read_curv' function don't work in Matlab. I added it. Thanks in advance Ece

2 4

Re: [Freesurfer] 回复： Recon-all run error
by fsbuild 06 Nov '18

06 Nov '18

External Email - Use Caution Hello Yujunjie, Bruce, This file in the packages archive, ./netcdf_3_6_0_p1/putget.c, has an assertion at line 322 that looks like the failure.  I don't know this code, but something is going wrong trying to fill the buffer, e.g., maybe it works for smaller images but not for larger images ?  It could be that older version of freesurfer used a different version of netcdf.  I've attached a screenshot of the code. You could try setting all the soft limits for the shell to be unlimited, e.g., in bash, $ ulimit -c unlimited 1013364183 November 5, 2018 at 21:22 via Postbox         External Email - Use Caution        Dear Bruce,  I found the error location in the recon-all.log folder. Here is the place where it went wrong，I don't think it's the reason for insufficient memory..  ''mri_convert.bin: putget.c:322: fill_NC_var: Assertion `chunksz % 4 == 0' failed.''  This data is ok when we run with versions prior to freesurfer 6.0. But after we run the 6.0 version and set the expert file, this error will occur.Do I need to step through the instructions to see the problem? How should this error be solved? Thanks in advance yours yujunjie

2 1

Longitudinal brainstem structures / thalamic nuclei
by Niels Bergsland 05 Nov '18

05 Nov '18

External Email - Use Caution Hi Eugenio, Just wanted to ask quickly if there is plan to implement longitudinal processing for the brainstem structures and thalamic nuclei modules? Thanks! Niels

2 2

T-value in qdec
by Vikas Bandalli 05 Nov '18

05 Nov '18

External Email - Use Caution Dear freesurfer team, I'm sorry I'm reposting this but I really want a solution tho this . I am running an analysis betweene two groups Normal and Patients. Here is an example of my particular design diagnosis :- Normal vs Bipolar Co-variate :- Age Nuisance factor :- Total_Intra cranial volume I would please like to know a couple of things related to QDEC 1.I am looking for difference in volume between patients and controls and the analysis. For correcting for multiple comparisons I ran Monte carlo - Z simulation at threshold of 1.3 My understanding is the analysis overall runs a two-tailed t-test first and then when we select to run MC-z simulation it iterates for multiple comparisions (by repeating the saem say 1000 times ) and gives out 'clusterwise p-value' Is my understanding correct? 2.I would like to extract T-values for the same . Are we getting cluster wise T-value similar to cluster wise p-value ? in the terminal 3. Where would I find t-values for the analysis ??? 4.Are there any methods to extract T-values in qdec or freesurfer . If so,please specify. I am enclosing screenshots from my analysis for the same . Kindly request you to please have a look please help me out with this ?? Thanking You, Yours sincerely , Dr.Vikas Bandalli

1 0

Re: [Freesurfer] Tutorial Data Set - Won't Download
by fsbuild 05 Nov '18

05 Nov '18

External Email - Use Caution Hello Emma, We're taking a look at those links which seem to not be working right now, so stay tuned. On Nov 5, 2018, at 05:30, Bunting, Emma <e.bunting.18(a)ucl.ac.uk> wrote:https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/Data

1 0

Compiling same-subject data across multiple scanning sessions
by Anna Mynick 05 Nov '18

05 Nov '18

External Email - Use Caution Hi all, I'm wondering whether there's a way to compile same-subject data across multiple sessions into the same analysis. More specifically, I've run all my individual scanning sessions through preproc-sess (same subject, different scanning days) and am now hoping to compile same-subject sessions into a file that can be fed into mkanalysis-sess, mkcontrast-sess and selxavg3-sess. One concern I have is that all of the .para files that list stimulus onsets and durations are separate, so I imagine those would need to be concatenated along with the preprocessed functional data. Thanks very much for any help, Anna

1 0

problems concerning mris_prepoc
by Larissa Bechtle 05 Nov '18

05 Nov '18

1 0

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