Freesurfer

freesurfer@nmr.mgh.harvard.edu

6 participants
30055 discussions

CC segmentation fault
by Hao Wang (PGR) 04 Nov '25

04 Nov '25

External Email - Use Caution Hi Freesurfer Developers, I’m attempting to run recon-all but keep on coming across this same error: mri_cc -aseg aseg.auto_noCCseg.mgz -o aseg.auto.mgz -lta transforms/cc_up.lta 1047 will read input aseg from aseg.auto_noCCseg.mgz writing aseg with cc labels to aseg.auto.mgz will write lta as transforms/cc_up.lta Segmentation fault ERROR: mri_cc -aseg aseg.auto_noCCseg.mgz -o aseg.auto.mgz -lta transforms/cc_up.lta 1047 recon-all -s 1047 exited with ERRORS at Wed Oct 29 18:32:30 GMT 2025 I found a couple reports of people encountering the same error, with some suggesting that upgrading macOS resolved the issue. Unfortunately, that solution didn’t work in my case. The problem closely matches the one described in this post<https://secure-web.cisco.com/1eUJH1QOVis9V-ja_XistwYUH99s1WkkKGscZLAnWqIcpX…> and this post<https://secure-web.cisco.com/1em4eF9GNBoGc5vVMCfPLPX9WS5q43YwfPAfj41wlBnIw_…>, where the file “aseg.auto_noCCseg.mgz” is only 16 bytes in size. Similarly, when I checked “synthseg.vol.csv” in the “stats” folder, the reported volumes for all segments were 0. 1. FreeSurfer version: freesurfer-macOS-darwin_arm64-8.1.0-20250718-f30dfed 2. Platform: macOS Tahoe 26.0.1 3. uname -a: Darwin 22SCompL011.local 25.0.0 Darwin Kernel Version 25.0.0: Wed Sep 17 21:41:45 PDT 2025; root:xnu-12377.1.9~141/RELEASE_ARM64_T6000 arm64 4. recon-all.log: see attached

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Re: Different output data
by fsbuild 03 Nov '25

03 Nov '25

External Email - Use Caution The freesurfer download and release page, https://secure-web.cisco.com/1m4Xp1On93_NmEn7Cxw8FyoPqk6laiThpewSNU4ieoINqb… - contains the following notice, Important Note: When processing a group of subjects for your study, it is essential to process all your subjects with the same version of FreeSurfer, on the same OS platform and vendor, and for safety, even the same version of the OS. While we continue to work to ensure that results match across platforms, there are none-the-less system-level libraries that are OS dependent. An exception to this rule is that you may view and edit files across any platform or version, and run some post-processing tools (outside the recon-all stream) if you check with us first (for instance you may run the longitudinal processing with newer versions). Results are expected to differ in the recon-all output if you run the same subject with the same freesurfer release on two different vendors operating system; likewise it can also happen across 2 different versions of the same vendors operating system.  When the OS changes the system libraries, then the floating point math output can also change. An example of files that can differ in the recon-all output for the same subject processed with the same freesurfer release across 2 different versions of the same vendors OS are listed below. - R. different: mri/aparc.a2009s+aseg.mgzdifferent: mri/aparc+aseg.mgzdifferent: mri/aparc.DKTatlas+aseg.mgzsame: mri/aseg.auto.mgzsame: mri/aseg.auto_noCCseg.mgzdifferent: mri/aseg.mgzdifferent: mri/aseg.presurf.hypos.mgzsame: mri/aseg.presurf.mgzdifferent: mri/brain.finalsurfs.mgzsame: mri/brainmask..mgzdifferent: mri/brain.mgzdifferent: mri/filled.mgzdifferent: mri/lh.ribbon.mgzsame: mri/norm.mgzsame: mri/nu.mgzsame: mri/orig.mgzsame: mri/rawavg.mgzdifferent: mri/rh.ribbon.mgzdifferent: mri/ribbon.mgzdifferent: mri/surface.defects.mgzsame: mri/T1.mgzdifferent: mri/wm.asegedit.mgzdifferent: mri/wm.mgzdifferent: mri/wmparc.mgzdifferent: mri/wm.seg.mgzdifferent: surf/lh..fsaverage.sphere.regdifferent: surf/lh.inflateddifferent: surf/lh.inflated..nofixdifferent: surf/lh.origdifferent: surf/lh.orig.nofixdifferent: surf/lh.pialdifferent: surf/lh.pial.T1different: surf/lh.qsphere.nofixdifferent: surf/lh.smoothwmdifferent: surf/lh.smoothwm.nofixdifferent: surf/lh.spheredifferent: surf/lh.sphere.regdifferent: surf/lh.whitedifferent: surf/lh..white.preaparcdifferent: surf/rh.fsaverage.sphere.regdifferent: surf/rh.inflateddifferent: surf/rh.inflated.nofixdifferent: surf/rh.origdifferent: surf/rh.orig.nofixdifferent: surf/rh.pialdifferent: surf/rh.pial.T1different: surf/rh.qsphere.nofixdifferent: surf/rh.smoothwmdifferent: surf/rh.smoothwm.nofixdifferent: surf/rh.spheredifferent: surf/rh.sphere.regdifferent: surf/rh..whitedifferent: surf/rh.white.preaparcdifferent: surf/lh.areadifferent: surf/lh.area.middifferent: surf/lh.area.pialdifferent: surf/lh.avg_curvdifferent: surf/lh.curvdifferent: surf/lh.curv.pialdifferent: surf/lh.defect_bordersdifferent: surf/lh.defect_chulldifferent: surf/lh.defect_labelsdifferent: surf/lh.inflated.Hdifferent: surf/lh.inflated.Kdifferent: surf/lh.jacobian_whitedifferent: surf/lh.smoothwm.BE.crvdifferent: surf/lh.smoothwm.C.crvdifferent: surf/lh..smoothwm.FI.crvdifferent: surf/lh.smoothwm.H.crvdifferent: surf/lh.smoothwm.K1.crvdifferent: surf/lh.smoothwm.K2.crvdifferent: surf/lh.smoothwm.K.crvdifferent: surf/lh.smoothwm.S.crvdifferent: surf/lh.sulcdifferent: surf/lh.thicknessdifferent: surf/lh.volumedifferent: surf/lh.w-g.pct.mghdifferent: surf/lh.white.Hdifferent: surf/lh.white.Kdifferent: surf/lh.white.preaparc.Hdifferent: surf/lh.white.preaparc.Kdifferent: surf/rh.areadifferent: surf/rh.area.middifferent: surf/rh.area.pialdifferent: surf/rh..avg_curvdifferent: surf/rh.curvdifferent: surf/rh.curv.pialdifferent: surf/rh.defect_bordersdifferent: surf/rh.defect_chulldifferent: surf/rh.defect_labelsdifferent: surf/rh.inflated.Hdifferent: surf/rh.inflated.Kdifferent: surf/rh.jacobian_whitedifferent: surf/rh.smoothwm.BE.crvdifferent: surf/rh.smoothwm.C.crvdifferent: surf/rh.smoothwm.FI.crvdifferent: surf/rh.smoothwm..H.crvdifferent: surf/rh.smoothwm.K1.crvdifferent: surf/rh.smoothwm.K2.crvdifferent: surf/rh.smoothwm.K.crvdifferent: surf/rh.smoothwm.S.crvdifferent: surf/rh.sulcdifferent: surf/rh.thicknessdifferent: surf/rh.volumedifferent: surf/rh.w-g..pct.mghdifferent: surf/rh.white.Hdifferent: surf/rh.white.Kdifferent: surf/rh.white.preaparc..Hdifferent: surf/rh.white.preaparc.Kdifferent: label/lh.aparc.a2009s.annotdifferent: label/lh.aparc.annotdifferent: label/lh.aparc.DKTatlas.annotdifferent: label/lh.BA_exvivo.annotdifferent: label/lh.BA_exvivo.thresh.annotdifferent: label/lh.mpm.vpnl.annotdifferent: label/rh.aparc.a2009s.annotdifferent: label/rh.aparc.annotdifferent: label/rh.aparc.DKTatlas..annotdifferent: label/rh.BA_exvivo.annotdifferent: label/rh.BA_exvivo.thresh.annotdifferent: label/rh.mpm.vpnl.annot On Nov 3, 2025, at 06:44, Felipe da Silveira Minuceli <felipe.minuceli(a)unifesp.br> wrote:        External Email - Use Caution        Hello, My name is Felipe and I'm a medical student from Brazil. My research involves using Freesurfer to process neuroanatomical MRIs from several individuals. I'm collaborating with a PhD student and comparing my processed images with his. We use the same version of Freesurfer (7.4.1) and the same processing command (recon-all), but different Linux-based software and computers. However, our output data is slightly different (brain segmentation volume, surface holes, WM hypointensities, and estimated total intracranial volume) I'd like to know why this is happening? Should we get the same output data, or is this correct? Can I control other variables to get the same output data? Thank you, --  Felipe MinuceliGraduando de Medicina(11) 97483-9774 ---- É obrigatória a utilização do e-mail @unifesp em todas as correspondências oficiais, institucionais e no acesso aos equipamentos e sistemas da Universidade Federal de São Paulo, conforme a portaria Reitoria n. 1182/2022 que define a Política de e-mail institucional da Unifesp._______________________________________________ Freesurfer mailing list -- freesurfer(a)nmr.mgh.harvard.edu To unsubscribe send an email to freesurfer-leave(a)nmr.mgh.harvard.edu https://secure-web.cisco.com/1AU7FaE3hPm6x46WzqcypCUmynJsb3RD7QRvTHgCpH-zp9…

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Help configuring trac-all with reverse polarity b0s
by Mudarris, M.A.A. (Mohammed) 03 Nov '25

03 Nov '25

External Email - Use Caution Hi all, I’m running trac-all for a longitudinal study (2 sessions per subject) using BIDS-formatted DWI data. My sequence includes the following scans per session: * pre_dwi_b0_AP * dwi_AP (first volume is also b0_AP) * b0_post_dwi_AP * b0_post_dwi_PA (reverse polarity) I want to use reverse polarity distortion correction (dob0 = 2) and FSL's eddy (doeddy = 2). My dmrirc includes: set pedir = ( AP AP AP PA ). I’ve tried the following: 1. merging AP b0s with dwi and keeping PA separate, using dcmlist, boplist, and b0mlist, but trac-all doesn’t seem to recognize the reverse polarity b0. 2. I also tried merging all into one 4D file — still no luck. Any advice on how to structure the files and configure dmrirc properly for topup to work? Thanks! Best wishes, Mohammed Mudarris, M.Sc. PhD Candidate | Health, Medical, and Neuropsychology Unit | Leiden University | Classified as Internal | Intern

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Different output data
by Felipe da Silveira Minuceli 03 Nov '25

03 Nov '25

External Email - Use Caution Hello, My name is Felipe and I'm a medical student from Brazil. My research involves using Freesurfer to process neuroanatomical MRIs from several individuals. I'm collaborating with a PhD student and comparing my processed images with his. We use the same version of Freesurfer (7.4.1) and the same processing command (recon-all), but different Linux-based software and computers. However, our output data is slightly different (brain segmentation volume, surface holes, WM hypointensities, and estimated total intracranial volume) I'd like to know why this is happening? Should we get the same output data, or is this correct? Can I control other variables to get the same output data? Thank you, -- *Felipe Minuceli* Graduando de Medicina (11) 97483-9774 -- ---- É obrigatória a utilização do e-mail @unifesp em todas as correspondências oficiais, institucionais e no acesso aos equipamentos e sistemas da Universidade Federal de São Paulo, conforme a portaria Reitoria n. 1182/2022 <https://secure-web.cisco.com/1kAOZ_Li0vGoS3yzuDmxkOHQDsACM95jKIXTGbx_Na3sSv…> que define a Política de e-mail institucional da Unifesp. <https://secure-web.cisco.com/16uqmyCDJWb27fvVgYmzmvQW94WsJn-xM4ywLW20nJJv6A…>

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Research Scientist within the Center for Cognitive and Behavioral Brain Imaging at The Ohio State University
by Adam Gorka 30 Oct '25

30 Oct '25

External Email - Use Caution Dear Colleagues, The Center for Cognitive and Behavioral Brain Imaging (CCBB) at The Ohio State University is currently accepting applications for the following position. *Research Scientist* The Center for Cognitive and Behavioral Brain Imaging (CCBBI) at The Ohio State University is seeking a highly motivated Research Scientist to join our team. This one-year appointment (renewable based on performance and funding) supports an active research program aligned with CCBBI’s mission. Responsibilities include: - Conducting and disseminating human neuroscience research - Pursuing extramural funding - Presenting at national and international conferences - Supporting CCBBI’s scientific and training initiatives, including scanner operations, TMS facility management, workshops, and innovation in neuroimaging *Minimum Education Required:* Ph.D. in Neuroscience, Psychology, or a related field. *Required Qualifications* - At least three years of postdoctoral experience. - Extensive experience with functional MRI approaches for studying human brain function. - Thorough familiarity with programming and analysis in MATLAB and/or Python. - Strong record of peer-reviewed publications and productivity beyond the postdoctoral level. - Demonstrated ability to conduct independent research. - Excellent written and verbal communication skills. *Apply here:* *External Applicants*: *https://secure-web.cisco.com/1G9Pu1E13gCtz_U_gZNIi-R3JIQ6BVAMgg6aRV_k4OQ2nehr468lg0M02pOzlAga9jNx1CLqfyNYcmi7cFEOQSJxKx5MGtYRZmWXvRwFUCv3IyKMJzKHyLWrlnkwebJKM-SHvz_cs42pVqgNOSkEnp34_hNPB6io-at5LjL_TqnOtNn0ybcCB3iWjn5Jp4YTYpYSlSX0_eIKzqPj6ocj_jM-5-BooSd8TP7J2d9y_8NAzAxhIKeU_Tm5mvwyH7eSb7ML6l167AkUNqXpQGhbc5ClUIozYprjcToNVkvoXi6VxQUbzUD2Zql0o-Cyp8ZsJwCFY1cMy6QO6YhQ-rH1mBw/https%3A%2F%2Fosu.wd1.myworkdayjobs.com%2FOSUCareers%2Fjob%2FColumbus-Campus%2FResearch-Scientist_R137913-1 <https://secure-web.cisco.com/1G9Pu1E13gCtz_U_gZNIi-R3JIQ6BVAMgg6aRV_k4OQ2ne…>* Best regards, Adam Gorka Ph.D. Research Assistant Professor CCBBI/Psychology Department The Ohio State University

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Postdoctoral fellowship program within the Center for Cognitive and Behavioral Brain Imaging at the Ohio State University
by Adam Gorka 30 Oct '25

30 Oct '25

External Email - Use Caution Dear Colleagues, The Center for Cognitive and Behavioral Brain Imaging (CCBBI) at the Ohio State University is pleased to announce its Postdoctoral fellowship program. CCBBI is an interdisciplinary research facility located in the Department of Psychology at The Ohio State University. In alignment with its mission to advance neuroimaging research and train the next generation of scientists, CCBBI is pleased to announce the inaugural cohort of its Postdoctoral Fellows Program. This competitive two-year fellowship provides salary and benefits (including health insurance) to outstanding early-career scientists. The program is designed as a collaborative investment between CCBBI and participating faculty mentors. Year 1 salary and benefits are fully supported by CCBBI. For Year 2, fellows are expected to continue under the sponsorship of a CCBBI Faculty Fellow. Priority will be given to applicants whose faculty mentors can provide matching funds for Year 2, though applicants without confirmed cost-match support will also be considered based on scientific merit, sponsor fit, and alignment with CCBBI’s mission. The fellowship supports scholars who wish to pursue independent research at CCBBI while contributing to the center’s dynamic and interdisciplinary scientific community at The Ohio State University. *Eligibility Criteria* - Doctoral degree in Psychology, Neuroscience, or a closely related field, earned within the past two years. For candidates who received their degree before this period, please contact CCBBI to discuss the specifics of your circumstances (ccbbi.service(a)osu.edu) - As the goal of this program is to recruit new talent to Ohio State, current graduate students or postdoctoral scholars already working at Ohio State are not eligible. - Sponsorship from CCBBI faculty who will serve as the primary mentor. CCBBI Faculty Affiliates are strongly encouraged to consider a CCBBI Faculty Fellow as a co-mentor. - Faculty cost-match for Year 2 is preferred but not required; priority will be given to mentors who can provide matching funds. - Evidence of superior academic achievement (such as honors or other academic designation, peer-reviewed publications, invited presentations). - Dedication to a research-focused career, with preference given to individuals aiming to pursue academic pathways. *Fellowship Details* The fellowship offers a competitive annual salary of $61,008 plus benefits, with funding available to begin before *August 1, 2026*. Fellows will dedicate 90% of their time to pursuing independent research within a CCBBI-affiliated lab. The remaining 10% of their time will be devoted to professional development through CCBBI activities, including engaging in community outreach, hosting distinguished invited speakers, and contributing to the center’s signature Research Day conference. Fellows will also be encouraged to attend the annual meeting for the Organization for Human Brain Mapping, and all travel costs will be covered by CCBBI. This is a two-year position, structured as follows: - Year 1: Fully funded by CCBBI - Year 2: Continued support anticipated through the sponsoring faculty mentor (cost-match preferred but not required). A progress report will be required at the end of Year 1 to evaluate research progress and confirm Year 2 funding arrangements. *Application Guidelines* Applicants should submit all required materials as a single PDF file to ccbbi.service(a)osu.edu. Letters of recommendation, including one from the faculty mentor, must be sent directly by the recommenders to ccbbi.service(a)osu.edu. All application materials, including letters of recommendation, must be received by *December 15, 2025*. Final decisions will be announced by the end of *January 2026*. 1. *Cover Letter* 2. *Curriculum Vita* 3. *Personal Statement (2-page limit)* Describe your research interests, career goals, and how the CCBBI Postdoctoral Fellowship will support your professional development. The statement should include a summary of your prior training and research experiences, your motivation for pursuing postdoctoral work at CCBBI and the sponsor’s lab, and the ways in which your research aligns with the mission of the center. 4. *Research Plan (3-page limit, with the following sections) * Applicants must submit a research statement that is no more than 3 pages (excluding references) and formatted in 11-point Arial font, single-spaced, with 0.5-inch margins. References should be included at the end and do not count toward the page limit. The research plan should include the following sections: • Aims, Significance, and Innovation (1 page) • Approach and Feasibility (2 pages) • References (no page limit) 5. *Two letters of recommendation* 6. *Nomination letter from CCBBI Faculty Mentor (and co-mentor, if applicable)* Letter should describe the expected impact of the applicant on the sponsor’s scholarly program and the likely impact on scholarship in the discipline. Please also confirm the mentor’s intent to provide matching funds for Year 2. 7. *Up to three peer-reviewed publications* Best, Adam Gorka Ph.D. Research Assistant Professor CCBBI/Psychology Department The Ohio State University

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Will there be a docker image for freesurfer 8.1 on dockerhub?
by Enrico Glerean 30 Oct '25

30 Oct '25

External Email - Use Caution Hello we are installing FreeSurfer 8.1 on our HPC cluster. We can create our own container/module but I was wondering if there is any plan in adding FS8.1 to the official dockerhub list? https://secure-web.cisco.com/10SK8DgtsfSQtHTS3aXkR1pDqh6-xaoFVKDe_WG4W32gQX… Cheers Enrico

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AABC Release 1 of HCP-Aging & AABC Data on BALSA
by Jennifer Elam 27 Oct '25

27 Oct '25

External Email - Use Caution *AABC Release 1 of HCP-Aging & AABC Data * The Aging Adult Brain Connectome (AABC) consortium is pleased to announce its initial release of imaging and non-imaging phenotypic data on the ConnectomeDB powered by BALSA <https://secure-web.cisco.com/1E3sA1hpgb9eIUb1EkJtSztyGN1osO5SHdKLoHmILD8z7p…> platform. This includes data for all HCP-Aging (HCA) participants and visits, plus an initial set of AABC visits. AABC is a longitudinal follow-on study to the HCA study of healthy participants ages 36-90+. AABC is recruiting 1000 participants (legacy HCA and new) for two additional longitudinal visits, collecting up to four timepoints per participant to generate within-participant brain trajectories over spans of up to 10 years, enabling examination of vulnerability and resilience factors related to cognitive decline. AABC Release 1 includes cross-sectional (V1) and longitudinal (V2, V3) 3T MR scans and non-imaging data from 1248 healthy older adults (ages 36-90+) in the *HCP-Aging* and *AABC* projects. It includes multi-modal preprocessed (including with FreeSurfer) and unprocessed imaging data from 1248 participants across 2214 imaging visits (many subjects have data from more than one visit). It also contains non-imaging data collected over a broad range of domains for 1248 V1, 762 V2, and 236 V3 (2246 total) in-person visits and remote follow up surveys (non-imaging events). See session breakdowns by study and visit/event <https://secure-web.cisco.com/1e5aBoX5ZR8ehhwVS1IbFviFaTUSuBv-_3C81m6beQNcfR…> . 7 T Magnetic Resonance Spectroscopy (MRS) data are available for 138 participants. Multi-modal Imaging Derived Phenotypes (IDPs) are available for participants with imaging data. *Release 1 Highlights:* - Preprocessed and unprocessed structural MRI, resting state fMRI, task fMRI, diffusion MRI, and ASL data in modality-specific "HCP package" datasets downloadable from BALSA (see below). Most users should access Preprocessed Recommended fMRI data that have been cleaned of spatially and temporally specific structured noise and precisely aligned across subjects by multimodal cortical surface registration (MSMAll). - 3T Multi-modal Imaging Derived Phenotypes (IDPs) for released participant sessions available in CSV (zip archives in IDPs tab) and Connectome Workbench-compatible CIFTI imaging package formats. - 7 T Magnetic Resonance Spectroscopy (MRS) brain metabolite data are available for 138 participants. - Non-imaging behavioral and biomeasure data available for released participant sessions and follow up events. - Core Variables, high interest primary variables and summary scores, including MRS brain metabolites, can be viewed and filtered in the BALSA UI (use Column Selector to add, Export CSV to download). - >3,000 Extended variables, including item-level and follow up event variables, for all participant events available in a comprehensive spreadsheet. - NIH Toolbox raw and score data for in-person visits are available as spreadsheets/zip archive. - Visualization instructions and HCA1798 group average template data for visualizing HCP pipelines output, including IDPs, in Connectome Workbench wb_view. *Get Access and Download the data: *Get started by Registering for BALSA <https://secure-web.cisco.com/1zlKesUDMp29RSUVbSD292xuZape2LcLiWdzVpZBVGzNz0…>, click on the “ConnectomeDB” tab, and agree to the AABC Data Use Terms. An academic, non-profit, or government email address is required to agree to the AABC Data Use Terms and access the data. To download imaging data, you must 1) install Aspera Connect <https://secure-web.cisco.com/1Xr8Q6C27qOK7Ae_kDB0rxbRWJ0oJaa_RR7QfLJCsb5syo…> (*scroll down to “IBM Aspera client-deployed software” to find Aspera Connect download links*) and 2) an Aspera Connect plugin for your browser (available from Firefox, Chrome, Safari, etc.). Set Preferences>Transfers in Aspera Connect to a directory with sufficient space for large downloads. To download the full non-imaging data, click the Files tab and Download under AABC_Release1_Non-imaging_Data-XL.csv <https://secure-web.cisco.com/1W0PF5h5DPNy4MZqxW2xvdWhizhWq2M12bMNdiCs4f-eEO…>. Use the Column Selector and Export CSV to view, filter on, and download all or subsets of Core Variables for selected subjects. *Join the Community.* If you are actively using HCP data and tools, we encourage you to join and be active in the HCP-Users Google group <https://secure-web.cisco.com/16VYRKxOjfiaFENy_kteTyNOu85xi0i-u0aDPu_RVOuL5_…>, so that you can tune in to technical discussions on issues that may be of interest. Once you have joined (posts from nonmembers are moderated to control spam), post questions to hcp-users(a)humanconnectome.org. *Stay Tuned!* In addition to this release, we are actively preparing AABC Release 2 to be made public soon. It will include 600+ more participant session data and other minor updates. We will announce Release 2 on the HCP-Users group, so yet another reason to join! Best, AABC Consortium -- Jennifer Elam, Ph.D. Scientific Outreach, Human Connectome Project Washington University School of Medicine Department of Neuroscience, Box 8108 660 South Euclid Avenue St. Louis, MO 63110 314-362-9387 elam(a)wustl.edu http://secure-web.cisco.com/1FBuEJLFK1AdhzuTMoWgpdt_f3pYUtjnskrijVK6TU3ZRe_…

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Research Alliance Ruhr invites applications for a W3 Professorship in Computational Psychiatry at Ruhr University Bochum
by Caspar M. Schwiedrzik 25 Oct '25

25 Oct '25

External Email - Use Caution The Research Alliance Ruhr invites applications for a W3 Professorship in Computational Psychiatry at Ruhr University Bochum (Faculty of Medicine). 🔗 https://secure-web.cisco.com/1KcfglGyEXhDSldV3wDT4tlyyNLIFLdFLUm96KlHn10wZ2… We're looking for someone who can build bridges between machine learning, neuroscience, and mental health, using computational approaches to uncover how the brain, body, and environment give rise to resilience—or vulnerability. The position is exceptionally well-funded and part of the One Health Center, an interdisciplinary cluster of 15 professors across three universities in Bochum, linking AI, medicine, systems biology, and environmental science. The Ruhr area also hosts multiple SFBs and research centers, making this a perfect ecosystem for collaborative computational science. 📅 Deadline: November 12, 2025 Please share this with researchers who think in code, models, and mechanisms—and who want their work to make a societal impact. Warm regards, Caspar M. Schwiedrzik

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SuperSynth Availibility
by Maryam Riazi 24 Oct '25

24 Oct '25

External Email - Use Caution Dear FreeSurfer team, This is Maryam Riazi, a 3rd-year PhD student at Boston University. I am reaching out to ask when the SuperSynth will be available on the FreeSurfer? According to FreeSurfer Wiki about this toolbox, it will be available for any version release after October 3rd, 2025, but according to this website <https://secure-web.cisco.com/1HTTVK_iyFvz2Bhdj089alyitxC6ihg29fIyHJESf8kW6R…>, the latest FreeSurfer version (8.1.0) was released on July 22. I was wondering if there is a beta version or any upcoming release soon? Thank you for your great work and your help. Best, -Maryam

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