Freesurfer

freesurfer@nmr.mgh.harvard.edu

17 participants
30099 discussions

qdec problem
by Emilia Johansson 30 Jul '14

30 Jul '14

Hello, When I use qdec I can´t change the threshold values and I don't have the Design Matrix Type option (DODS, DOSS). I'm using ubuntu 13.10, freesurfer 5.3.0 and qdec 1.5. Any suggestions of what can be the problem? Do I need to download something more? I don't get any error messages when I run qdec. Best regards, Emilia

2 1

qdec _FDR report question (why the result of cluster stats table not match with the statistic map)
by Wang, Guoying 30 Jul '14

30 Jul '14

Dear Freesurfer experts, I am facing the problem to report the significant clusters which was calculated by QDEC. I did the group comparison between healthy and patients in cortical thickness, setting the threshold as FDR=0.05.however, the result of thickness map seems quite different from the contrast stats table. In the statistic map, Some area (e.g. occipital region, pre and post central gyri)showed clearly decreased In patients, but not shown in contrast output table. Why this happened? I really appreciated your help. Please find the corresponding file attached. [cid:image001.jpg@01CFAC1C.967AB680] [cid:image003.jpg@01CFAC1C.967AB680] Thanks for your help ! Best Guoying

2 1

T2-space vs T2-space-FLAIR
by Satrajit Ghosh 30 Jul '14

30 Jul '14

hi bruce, is there any difference from freesurfer's perspective of using T2-space or T2-space-flair? cheers, satra

3 7

Voxel Edit Clone Broken in 5.3.0
by Erik Kastman 30 Jul '14

30 Jul '14

Hi all, It looks like there’s a bug in Freeview 5.3 Voxel Edit - Clone - although the button is present, the drop down to choose a reference image is unresponsive - you can click it but it doesn’t provide a list of any of the loaded volumes - there’s no way to specify which reference to clone from. I noticed this was a new feature in 5.3 ( https://mail.nmr.mgh.harvard.edu/pipermail//freesurfer/2014-February/036416… ) so I guess there are some more bugs to squash. Also, the tooltips are being displayed behind the Voxel Edit window, so you can only see them “poking out” from behind and not read them. Is there an easier fix than cloning from tkmedit? Please let me know if you need any more details. Thanks, Erik Kastman Environment: Freesurfer 5.3.0 Centos 6 - 64bit

1 0

Can't Recognize dicom file
by Yi-Yu Chou 30 Jul '14

30 Jul '14

Dear Freesurfer experts: I'm running errors when I try to run the dicom files with recon-all. It shows: ERROR: cannot determine file type I have tried opening the files in mipav, and that worked which leads me to believe the files are not flawed. Attached you will fine one of the dicom files. Please try to play with it, and let me know how to fix the problem. Thanks in advance !! Best, Yi-Yu Chou

2 2

Fwd: mpr2mni305 failed error
by Francesco Deleo 30 Jul '14

30 Jul '14

I all! I have the same problem in about 15% of MRI scans, all made with the same scanning protocol (T1 MPRAGE in a SIEMENS Avanto 1,5 T) during the recon-all -all process. I can't recognize any difference between those scans which work correctly and those not. I have never found the same error on 3T MRI scans. I've already tried to add these flags to the recon-all -all command: -use-mritotal -talairach -use-mritotal -notalairach but I've always received an error message Thank you very much ERROR: mpr2mni305 failed, see transforms/talairach_avi.log Darwin pro-di-villani.besta.local 13.3.0 Darwin Kernel Version 13.3.0: Tue Jun 3 21:27:35 PDT 2014; root:xnu-2422.110.17~1/RELEASE_X86_64 x86_64 Thanks for your attention Francesco Deleo Milan, Italy --------------------------------------------------------------------- FREESURFER_HOME: /Applications/freesurfer Build stamp: freesurfer-Darwin-lion-stable-pub-v5.3.0 Kernel info: Darwin 13.3.0 x86_64 --------------------------------------------------------------------- LAST LINES IN TALAIRACH_AVI.LOG parameters 9.0270 134.9373 110.8627 -84.3566 -7.5458 -11.3475 eta,q 0.95791 3.72402 0.0485 0.0470 0.0477 0.0513 0.0470 0.0452 0.0475 0.0471 0.0478 0.0513 0.0457 0.0435 0.0472 0.0472 0.0476 0.0428 0.0434 0.0415 0.0471 0.0471 0.0476 0.0435 0.0430 0.0415 0.0470 0.0478 0.0457 0.0525 0.0415 0.0430 0.0473 0.0511 0.0430 0.0548 0.0442 0.0453 0.0486 0.0426 0.0406 0.0672 0.0431 0.0503 niter,ni,del,rscale 7 3 12.0000 1.2000 imgrege: no voxels in register ERROR: 'imgreg_4dfp /Applications/freesurfer/average/711-2C_as_mni_average_305 /Applications/freesurfer/average/711-2B_as_mni_average_305_mask talsrcimg_g11 none talsrcimg_to_711-2C_as_mni_average_305_t4 1283' failed! status=254 ERROR: mpr2mni305 execution aborted

1 0

MRI_glmfit-sim error
by Jon Alan Wieser 30 Jul '14

30 Jul '14

I'm running a monte carlo sim and am getting an error: command line: mri_glmfit-sim \ --glmdir MTA_persistanceCP \ --sim mc-z 1000 1.3 mc-z.negative \ --sim-sign abs --cwpvalthresh 0.999 \ --overwrite output: cmdline mri_glmfit --y /Studies/MTA/qdec/MTA_persistanceCP/y.mgh --fsgd /Studies/MTA/qdec/MTA_persistanceCP/qdec.fsgd dods --glmdir /Studies/MTA/qdec/MTA_persistanceCP --surf fsaverage rh --label /Studies/MTA/fsaverage/label/rh.aparc.label --C /Studies/MTA/qdec/MTA_persistanceCP/contrasts/rh-Avg-Intercept-thickness.mat --C /Studies/MTA/qdec/MTA_persistanceCP/contrasts/rh-Diff-F-M-Intercept-thickness.mat SURFACE: fsaverage rh log file is MTA_persistanceCP/mc-z.negative.mri_glmfit-sim.log cd /Studies/MTA/qdec /Applications/freesurfer/bin/mri_glmfit-sim --glmdir MTA_persistanceCP --sim mc-z 1000 1.3 mc-z.negative --sim-sign abs --cwpvalthresh 0.999 --overwrite $Id: mri_glmfit-sim,v 1.36.2.5 2012/10/01 22:31:37 greve Exp $ Tue Jul 29 14:08:52 CDT 2014 Darwin psy-blackbird.ad.uwm.edu 10.8.0 Darwin Kernel Version 10.8.0: Tue Jun 7 16:32:41 PDT 2011; root:xnu-1504.15.3~1/RELEASE_X86_64 x86_64 wieser setenv SUBJECTS_DIR /Applications/freesurfer/subjects FREESURFER_HOME /Applications/freesurfer Original mri_glmfit command line: cmdline mri_glmfit --y /Studies/MTA/qdec/MTA_persistanceCP/y.mgh --fsgd /Studies/MTA/qdec/MTA_persistanceCP/qdec.fsgd dods --glmdir /Studies/MTA/qdec/MTA_persistanceCP --surf fsaverage rh --label /Studies/MTA/fsaverage/label/rh.aparc.label --C /Studies/MTA/qdec/MTA_persistanceCP/contrasts/rh-Avg-Intercept-thickness.mat --C /Studies/MTA/qdec/MTA_persistanceCP/contrasts/rh-Diff-F-M-Intercept-thickness.mat DoSim = 1 UseCache = 0 DoPoll = 0 DoPBSubmit = 0 DoBackground = 0 DiagCluster = 0 gd2mtx = dods fwhm = 14.370530 nSimPerJob = 1000 1/1 Tue Jul 29 14:08:52 CDT 2014 mri_glmfit --y MTA_persistanceCP/y.mgh --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/lh-Avg-Intercept-thickness.mtx --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/lh-Avg-thickness-Gender-Cor.mtx --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/lh-Diff-C-P-Cor-thickness-Gender.mtx --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/lh-Diff-C-P-Intercept-thickness.mtx --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/lh-Diff-Control-MJuser-Cor-thickness-Gender.mtx --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/lh-Diff-Control-MJuser-Intercept-thickness.mtx --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/lh-Diff-F-M-Intercept-thickness.mtx --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/lh-X-ADHD_Persist-MJ_group-Cor-thickness-Gender.mtx --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/lh-X-ADHD_Persist-MJ_group-Intercept-thickness.mtx --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/rh-Avg-Intercept-thickness.mtx --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/rh-Avg-thickness-Gender-Cor.mtx --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/rh-Diff-C-P-Cor-thickness-Gender.mtx --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/rh-Diff-C-P-Intercept-thickness.mtx --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/rh-Diff-Control-MJuser-Cor-thickness-Gender.mtx --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/rh-Diff-Control-MJuser-Intercept-thickness.mtx --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/rh-Diff-F-M-Intercept-thickness.mtx --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/rh-X-ADHD_Persist-MJ_group-Cor-thickness-Gender.mtx --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/rh-X-ADHD_Persist-MJ_group-Intercept-thickness.mtx --mask MTA_persistanceCP/mask.mgh --sim mc-z 1000 1.3 MTA_persistanceCP/csd/mc-z.negative.j001 --sim-sign abs --fwhm 14.370530 --fsgd MTA_persistanceCP/y.fsgd dods --label /Studies/MTA/fsaverage/label/rh.aparc.label --surf fsaverage rh white INFO: ignoring tag Creator INFO: ignoring tag SUBJECTS_DIR INFO: ignoring tag SynthSeed simbase MTA_persistanceCP/csd/mc-z.negative.j001 FWHM = 14.370530 gdfReadHeader: reading MTA_persistanceCP/y.fsgd INFO: NOT demeaning continuous variables Continuous Variable Means (all subjects) 0 Age 23.9348 1.40499 Class Means of each Continuous Variable 1 Gender_MFF 23.8000 2 Gender_MFM 23.9722 INFO: gd2mtx_method is dods Reading source surface /Applications/freesurfer/subjects/fsaverage/surf/rh.white Number of vertices 163842 Number of faces 327680 Total area 65020.765625 AvgVtxArea 0.396850 AvgVtxDist 0.717994 StdVtxDist 0.193566 Surface smoothing by fwhm=14.370530, niters=152.000000 $Id: mri_glmfit.c,v 1.196.2.8 2012/11/01 18:51:41 greve Exp $ cwd /Studies/MTA/Qdec cmdline mri_glmfit --y MTA_persistanceCP/y.mgh --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/lh-Avg-Intercept-thickness.mtx --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/lh-Avg-thickness-Gender-Cor.mtx --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/lh-Diff-C-P-Cor-thickness-Gender.mtx --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/lh-Diff-C-P-Intercept-thickness.mtx --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/lh-Diff-Control-MJuser-Cor-thickness-Gender.mtx --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/lh-Diff-Control-MJuser-Intercept-thickness.mtx --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/lh-Diff-F-M-Intercept-thickness.mtx --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/lh-X-ADHD_Persist-MJ_group-Cor-thickness-Gender.mtx --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/lh-X-ADHD_Persist-MJ_group-Intercept-thickness.mtx --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/rh-Avg-Intercept-thickness.mtx --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/rh-Avg-thickness-Gender-Cor.mtx --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/rh-Diff-C-P-Cor-thickness-Gender.mtx --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/rh-Diff-C-P-Intercept-thickness.mtx --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/rh-Diff-Control-MJuser-Cor-thickness-Gender.mtx --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/rh-Diff-Control-MJuser-Intercept-thickness.mtx --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/rh-Diff-F-M-Intercept-thickness.mtx --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/rh-X-ADHD_Persist-MJ_group-Cor-thickness-Gender.mtx --C MTA_persistanceCP/tmp.mri_glmfit-sim-68749/rh-X-ADHD_Persist-MJ_group-Intercept-thickness.mtx --mask MTA_persistanceCP/mask.mgh --sim mc-z 1000 1.3 MTA_persistanceCP/csd/mc-z.negative.j001 --sim-sign abs --fwhm 14.370530 --fsgd MTA_persistanceCP/y.fsgd dods --label /Studies/MTA/fsaverage/label/rh.aparc.label --surf fsaverage rh white sysname Darwin hostname psy-blackbird.ad.uwm.edu machine x86_64 user wieser FixVertexAreaFlag = 1 UseMaskWithSmoothing 1 fwhm 14.370530 niters 152.000000 OneSampleGroupMean 0 y /Studies/MTA/Qdec/MTA_persistanceCP/y.mgh logyflag 0 usedti 0 FSGD MTA_persistanceCP/y.fsgd labelmask /Studies/MTA/fsaverage/label/rh.aparc.label maskinv 0 glmdir (null) IllCondOK 0 ReScaleX 1 DoFFx 0 Loading y from /Studies/MTA/Qdec/MTA_persistanceCP/y.mgh INFO: gd2mtx_method is dods Normalized matrix condition is 1366.76 Matrix condition is 712602 Found 148495 points in label. Found 148495 voxels in mask Reshaping mriglm->mask... search space = 73776.320066 ERROR: dimension mismatch between X and contrast MTA_persistanceCP/tmp.mri_glmfit-sim-68749/lh-Avg-thickness-Gender-Cor.mtx X has 4 cols, C has 12 cols How do I fix this dimension masmatch? thanks Jon

2 4

qdec error
by Jon Alan Wieser 30 Jul '14

30 Jul '14

I'm getting the following erorr when running Qdec "Analyze" Model Factors: Discrete (fixed factors) ADHD_Persist MJ_group Nuisance factor: Age ERROR: matrix is ill-conditioned or badly scaled, condno = 10355.4 -------------------------------- 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 --y /Studies/MTA/qdec/MTA_persistanceCD/y.mgh --fsgd /Studies/MTA/qdec/MTA_persistanceCD/qdec.fsgd dods --glmdir /Studies/MTA/qdec/MTA_persistanceCD --surf fsaverage rh --label /Studies/MTA/fsaverage/label/rh.aparc.label --C /Studies/MTA/qdec/MTA_persistanceCD/contrasts/rh-Avg-Intercept-thickness.mat --C /Studies/MTA/qdec/MTA_persistanceCD/contrasts/rh-Diff-C-D-Intercept-thickness.mat --C /Studies/MTA/qdec/MTA_persistanceCD/contrasts/rh-Diff-Control-MJuser-Intercept-thickness.mat --C /Studies/MTA/qdec/MTA_persistanceCD/contrasts/rh-X-ADHD_Persist-MJ_group-Intercept-thickness.mat 2. The FSGD file (if using one) 3. And the design matrix above Error in Analyze: command failed: mri_glmfit --y /Studies/MTA/qdec/MTA_persistanceCD/y.mgh --fsgd /Studies/MTA/qdec/MTA_persistanceCD/qdec.fsgd dods --glmdir /Studies/MTA/qdec/MTA_persistanceCD --surf fsaverage rh --label /Studies/MTA/fsaverage/label/rh.aparc.label --C /Studies/MTA/qdec/MTA_persistanceCD/contrasts/rh-Avg-Intercept-thickness.mat --C /Studies/MTA/qdec/MTA_persistanceCD/contrasts/rh-Diff-C-D-Intercept-thickness.mat --C /Studies/MTA/qdec/MTA_persistanceCD/contrasts/rh-Diff-Control-MJuser-Intercept-thickness.mat --C /Studies/MTA/qdec/MTA_persistanceCD/contrasts/rh-X-ADHD_Persist-MJ_group-Intercept-thickness.mat command line: mri_glmfit --y /Studies/MTA/qdec/MTA_persistanceCD/y.mgh --fsgd /Studies/MTA/qdec/MTA_persistanceCD/qdec.fsgd dods --glmdir /Studies/MTA/qdec/MTA_persistanceCD --surf fsaverage rh --label /Studies/MTA/fsaverage/label/rh.aparc.label --C /Studies/MTA/qdec/MTA_persistanceCD/contrasts/rh-Avg-Intercept-thickness.mat --C /Studies/MTA/qdec/MTA_persistanceCD/contrasts/rh-Diff-C-D-Intercept-thickness.mat --C /Studies/MTA/qdec/MTA_persistanceCD/contrasts/rh-Diff-Control-MJuser-Intercept-thickness.mat --C /Studies/MTA/qdec/MTA_persistanceCD/contrasts/rh-X-ADHD_Persist-MJ_group-Intercept-thickness.mat no FSGD file I have attached the qdec dat file design matrix: Design matrix ------------------ 1.000 0.000 0.000 0.000 25.000 0.000 0.000 0.000; 1.000 0.000 0.000 0.000 24.000 0.000 0.000 0.000; 1.000 0.000 0.000 0.000 22.000 0.000 0.000 0.000; 1.000 0.000 0.000 0.000 23.000 0.000 0.000 0.000; 1.000 0.000 0.000 0.000 24.000 0.000 0.000 0.000; 0.000 0.000 1.000 0.000 0.000 0.000 25.000 0.000; 1.000 0.000 0.000 0.000 23.000 0.000 0.000 0.000; 1.000 0.000 0.000 0.000 21.000 0.000 0.000 0.000; 0.000 0.000 1.000 0.000 0.000 0.000 21.000 0.000; 0.000 1.000 0.000 0.000 0.000 25.000 0.000 0.000; 0.000 1.000 0.000 0.000 0.000 23.000 0.000 0.000; 0.000 0.000 1.000 0.000 0.000 0.000 26.000 0.000; 0.000 0.000 1.000 0.000 0.000 0.000 23.000 0.000; 1.000 0.000 0.000 0.000 24.000 0.000 0.000 0.000; 0.000 0.000 1.000 0.000 0.000 0.000 25.000 0.000; 0.000 0.000 1.000 0.000 0.000 0.000 22.000 0.000; 1.000 0.000 0.000 0.000 23.000 0.000 0.000 0.000; 0.000 0.000 1.000 0.000 0.000 0.000 21.000 0.000; 1.000 0.000 0.000 0.000 25.000 0.000 0.000 0.000; 0.000 0.000 1.000 0.000 0.000 0.000 24.000 0.000; 1.000 0.000 0.000 0.000 23.000 0.000 0.000 0.000; 0.000 0.000 1.000 0.000 0.000 0.000 23.000 0.000; 0.000 0.000 1.000 0.000 0.000 0.000 23.000 0.000; 1.000 0.000 0.000 0.000 23.000 0.000 0.000 0.000; 0.000 0.000 1.000 0.000 0.000 0.000 26.000 0.000; 1.000 0.000 0.000 0.000 24.000 0.000 0.000 0.000; 1.000 0.000 0.000 0.000 25.000 0.000 0.000 0.000; 0.000 0.000 1.000 0.000 0.000 0.000 23.000 0.000; 1.000 0.000 0.000 0.000 27.000 0.000 0.000 0.000; 0.000 0.000 1.000 0.000 0.000 0.000 24.000 0.000; 1.000 0.000 0.000 0.000 23.000 0.000 0.000 0.000; 0.000 0.000 1.000 0.000 0.000 0.000 24.000 0.000; 0.000 0.000 1.000 0.000 0.000 0.000 23.000 0.000; 1.000 0.000 0.000 0.000 23.000 0.000 0.000 0.000; 1.000 0.000 0.000 0.000 21.000 0.000 0.000 0.000; 0.000 0.000 1.000 0.000 0.000 0.000 25.000 0.000; 1.000 0.000 0.000 0.000 24.000 0.000 0.000 0.000; 0.000 0.000 1.000 0.000 0.000 0.000 24.000 0.000; 0.000 0.000 1.000 0.000 0.000 0.000 23.000 0.000; 1.000 0.000 0.000 0.000 23.000 0.000 0.000 0.000; 1.000 0.000 0.000 0.000 21.000 0.000 0.000 0.000; 0.000 0.000 0.000 1.000 0.000 0.000 0.000 25.000; 0.000 1.000 0.000 0.000 0.000 24.000 0.000 0.000; 0.000 0.000 0.000 1.000 0.000 0.000 0.000 25.000; 0.000 1.000 0.000 0.000 0.000 24.000 0.000 0.000; 0.000 0.000 0.000 1.000 0.000 0.000 0.000 24.000; 0.000 1.000 0.000 0.000 0.000 22.000 0.000 0.000; 0.000 1.000 0.000 0.000 0.000 27.000 0.000 0.000; 0.000 1.000 0.000 0.000 0.000 26.000 0.000 0.000; 0.000 0.000 0.000 1.000 0.000 0.000 0.000 24.000; 0.000 1.000 0.000 0.000 0.000 23.000 0.000 0.000; 0.000 0.000 0.000 1.000 0.000 0.000 0.000 25.000; 0.000 1.000 0.000 0.000 0.000 26.000 0.000 0.000; 0.000 0.000 0.000 1.000 0.000 0.000 0.000 25.000; 0.000 1.000 0.000 0.000 0.000 26.000 0.000 0.000; 0.000 1.000 0.000 0.000 0.000 25.000 0.000 0.000; 0.000 0.000 0.000 1.000 0.000 0.000 0.000 25.000; 0.000 0.000 0.000 1.000 0.000 0.000 0.000 24.000; 0.000 1.000 0.000 0.000 0.000 24.000 0.000 0.000; 0.000 1.000 0.000 0.000 0.000 26.000 0.000 0.000; 0.000 1.000 0.000 0.000 0.000 24.000 0.000 0.000; 0.000 1.000 0.000 0.000 0.000 24.000 0.000 0.000;

2 2

NIH Staff Scientist Position available, Bethesda, MD, USA
by Thomas, Adam (NIH/NIMH) [E] 30 Jul '14

30 Jul '14

Posted on behalf of the CPB: Department of Health and Human Services (DHHS) National Institutes of Health (NIH) National Institute of Mental Health (NIMH) Division of Intramural Research Programs (DIRP) Section on Childhood Neuropsychiatric Disorders (SCND) Child Psychiatry Branch (CPB) Staff Scientist The Child Psychiatry Branch, in Bethesda, Maryland, is recruiting applicants for a Staff Scientist position. As a Staff Scientist, the primary duties will include conducting statistical analyses on clinical, neurobiological and treatment studies carried out in the Branch. This includes but is not limited to tasks such as maintaining the appropriate data sets, clearly conveying statistical results and methods both orally and in writing, reviewing and writing statistical content for manuscripts prior to submission, and working closely with and providing statistical support for all Branch members. The Staff Scientist position entails 25% time allotted to pursuing individual research interests. The Child Psychiatry Branch is a highly productive and collaborative group with a rich, multimodal dataset that seeks to understand neurodevelopmental disorders, with a focus on childhood-onset schizophrenia. There is a strong scientific and statistical computing core facility in existence, which can benefit this work. For more information about the Child Psychiatry Branch, please utilize the following link: http://www.nimh.nih.gov/labs-at-nimh/research-areas/clinics-and-labs/chp/in dex.shtml Interested candidates must have five years post-doctoral experience. Applicants should have a strong background in statistics and programming/computer science, as well as interests and experience in neuroimaging and behavioral research. The recruit should be adept at writing his/her own code to clean, organize, analyze, and visualize data. Unix and python programming skills are also preferable. In addition some highly desirable skills include: experience analyzing structural MRI, functional MRI and/or MEG data; a solid foundation in multivariate statistics (e.g., cluster analysis, principal components analysis, independent components analysis), and a background in longitudinal data analysis (e.g., mixed model regression/hierarchical linear modeling); proficiency in statistical programs such as R and MATLAB and visualization methods. SALARY RANGE: Salary is commensurate with experience and accomplishments. BENEFITS: The federal government offers a comprehensive benefits package including vacation, sick leave, holidays, life insurance, health benefits, and participation in the Federal Employees Retirement System. For more information go to new employee benefits at the NIH (http://hr.od.nih.gov/Benefits/permanentemployee.htm) and other employee benefits information (http://tiny.cc/saVcr) Interested applicants should send their CV and cover letter to Dr. Judith Rapoport, NIMH, 10 Center Drive, Bldg. 10, Rm. 3N202 (MSC-1600), Bethesda, MD 20892 USA, or by email: rapoporj(a)mail.nih.gov<mailto:rapoporj@mail.nih.gov> SUBMISSION DEADLINE: June 1, 2014 NIH and DHHS are Equal Opportunity Employers.

1 1

Mask custom ROI with automated parcellation (aparc)
by Bastian Cheng 30 Jul '14

30 Jul '14

Dear Freesurfers, Is there a way to mask a custom ROI (or label) with a volume / label from automated parcellations? I have an overlay with fMRI activations and am only interested in the precentral cortex (as segmented in rh.aparc). I could do masking either on the label level (fMRI activation label * rh.precentral.label) OR on a volume level (fMRI ROI volume * rh.precentral volume) ultimately, I would only be interested in surface thickness of my fMRI hotspots limited to the precentral cortex. So the most elegant way would be if there were a function in mri_segstats that allows outputs of thickness values to be "sorted" by the automated parcellation. But any help leading there is appreciated! Best, Bastian

2 4

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