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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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Training in Advances Statistical Methods in Neuroimaging and Genetics: 2026 Session
by ROBERT CARY WELSH 22 Oct '25

22 Oct '25

External Email - Use Caution Hi everybody, We are pleased to announce that the application portal is still open for the NIH funded 2026 session of the course, “Training in Advanced Statistical Methods in Neuroimaging and Genetics”. This is our 6th year! The course will start on Monday, April 13th, 2026 and finish on April 24th, 2026. Our course also includes an ongoing (throughout the year) continuing education portion. Due to delays in federal funding out of our control, we will be holding the course live on-line via Zoom for 2026. The course will use US Mountain Time Zone and typical days are from 8am to 5pm MT. The course is an intensive 2-weeks, about 8 hours per day of a balanced mixture of lectures and hands-on computer labs. More information at the following link: neurostatsbootcamp.org<http://secure-web.cisco.com/1NnG0TulRhrTe7Rs0KDge4Y5-hlW8ALnIJpKZ2UCL3cQZKy…> Due to the course being held live on-line this year, the tuition is $400 (USD). Please note that the course instructors' effort is supported by the NIH grant thus avoiding that cost being passed on to the course attendees. This course is strictly not-for-profit, your tuition is used for infrastructure support to hold the course. Because of the limited size and advanced nature of the course, attendance is by application only – please make sure to fully read the website instructions. In general, applicants should be a US citizen, permanent resident, or working with an appointment at a US institution. Though we do have the ability to accommodate 3 to 6 individuals that do not meet this criteria. With being on-line this year, we are able to have a class size between 30 and 40 students. Priority application deadline is Oct 24, 2025; decisions around Dec 13th. Late application deadline is Nov 21, 2025; decisions by Jan 2nd, 2026. For more information email us at neurostats(a)g.ucla.edu<mailto:neurostats@g.ucla.edu> We hope you pass this email on to your local neuroimaging community. Robert and Anna ------------------------------ Robert Welsh, PhD Course Director, Training in Advanced Statistical Methods in Neuroimaging and Genetics rcwelsh(a)g.ucla.edu<mailto:rcwelsh@g.ucla.edu> (preferred) robert.c.welsh(a)utah.edu<mailto:robert.c.welsh@utah.edu> Anna Docherty, PhD Associate Course Director, Training in Advanced Statistical Methods in Neuroimaging and Genetics anna.docherty(a)utah.edu<mailto:anna.docherty@utah.edu> Christina Caldera Course Administrator neurostats(a)g.ucla.edu<mailto:neurostats@g.ucla.edu>

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PETSurfer v8.1.0 vs 7.x.x — missing pons in gtmseg.ctab and rescale issue in mri_gtmpvc
by Carme Uribe 22 Oct '25

22 Oct '25

External Email - Use Caution Hi all, I’m running into an issue after upgrading from FreeSurfer 7.1.2 to 8.1.0 when using PETSurfer. In v7.1.2, the gtmseg.ctab included the *pons (Id 174)*, which allowed the subsequent mri_gtmpvc step to perform the default *rescale normalization based on pons intensity*. However, in v8.1.0, the pons no longer appears in the gtmseg.ctab. Since the rescale step still expects that region by default, the pipeline fails when trying to normalize by the pons. From the release notes I see that gtmseg now uses SAMSEG by default, and I suspect that this change may have modified how subcortical or brainstem structures are handled. Also, any chance the gtmseg step could add other regions typically used as reference (e.g., wm/whole cerebellum, centrum semiovale) maintaining the aseg and aparc parcellations from FS? Thanks very much in advance for your help, Carme

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Affine voxel size correction
by Steenwijk, M.D. (Martijn) 22 Oct '25

22 Oct '25

External Email - Use Caution Dear all, Reuter et al. (NI 2010) mention an optional "Affine voxel size correction" as a method to account for slight changes in scanner voxel sizes or geometry. Since it is described as optional, could anyone confirm whether this correction is actually implemented in the longitudinal processing stream? Thank you for your insights. Best regards, Martijn ______________________________________________________ AmsterdamUMC disclaimer : http://secure-web.cisco.com/1P67Snz8AB98mPTZkrythZH-ustg19TKhOwK7sjcvHBR4YG…

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Re: [External] Re: recon-all fails with "Invalid FreeSurfer license key" when executed via Docker SDK but works interactively
by fsbuild 22 Oct '25

22 Oct '25

External Email - Use Caution  I use the interactive option, e.g.,  $ docker run -dit —name <container name> <image name> Everything in the environment works, including using FS_LICENSE with newer versions of freesurfer to find the license file. - R.

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Re: Validation of the thalamic nuclei segmentation
by Kepa Paz-Alonso 21 Oct '25

21 Oct '25

External Email - Use Caution Dear Melissa, I fully agree with Eugenio's view and recommendation. Basically, there has been different historical traditions in regard to thalamic segmentations. You can find attached Figure 19.2 from Mai & Forutan (2012) which shows differences just between some authors in their thalamic nuclei delineation. In other words, different authors have had different conceptions regarding the classification and delineations of thalamic nuclei. For instance, differences are quite notable in some ventral and lateral nuclei, with different territories depending on the classification. And that can apply to other nuclei depending on the classifications you compare. When we started working on our thalamic nuclei atlas (Iglesias et al., 2018), we decided to based our clasification/segmentation on the work done by Jones (2012), which presents quite extraordinary detail in its characterization of the thalamic nuclei. We combined high resolution ex vivo MRI and histology, so the neuroanatomist (Ricardo Insausti) was able to delineate with the best possible precision the different nuclei while having next to him Jones's book to check any detail. So, our atlas and companion segmentation derives from Jones's previous work and it is related to his view regarding thalamic nuclei organization (see Jones, 1998). So, it does not have the same nuclei and the same delineation than other classifications, such as the ones from Morel. In my view, the mentioned "validation" studies from the same first author are comparing things that are conceptually different and are subjected to circularity. As Eugenio pointed out, if you compare different thalamic segmentations to the Morel atlas and our atlas of the thalamus is based on Jones (not Morel) and other ones are based on Morel, which ones are going to look more similar to Morel? But in any case, again these are different conceptual classifications, so if any comparison is done, they need to be done with all the caution. So, as Eugenio mentioned, at this point you can see the advantages or disadvantages or using one or other thalamic nuclei segmentation and go with any of them. There is a consensus among researchers in the neuroscience field regarding the need of bringing a common delineation/classification unifying different coneptual approaches and nomenclatures in thalamic nuclei segmentation. There are plans for having at some point a gathering to work on that. But as far as I know, these are just plans. Hope this can be of any help. Best, Kp. References: Jones, E.G., 2012. The Thalamus. Springer Science & Business Media. Jones, E.G., 1998. Viewpoint: The core and matrix of thalamic organization. Neuroscience. 85 (2): 331– 345 Mai, J.K., Forutan, F., 2012. Thalamus. In: The Human Nervous System, Third Edition. Elsevier, pp. 618–677. - Pedro "Kepa" Paz-Alonso, Ph.D. Group leader, BCBL Ikerbasque Research Professor Ikerbasque Researcher profile Ikerbasque: https://secure-web.cisco.com/176cf5yMCrjsKE7mehNbZbSpwntD7QRGfnXp99NCFtOeY1… Legal disclaimer/Aviso legal/Lege-oharra: http://secure-web.cisco.com/1NwnCoddg-iluZ9xy1tfc8-XzzZjLlqfX7WHql6bxfM4qL4… From: "Iglesias Gonzalez, Juan E.,PHD" <JIGLESIASGONZALEZ(a)mgh.harvard.edu> To: "Freesurfer support list" <freesurfer(a)nmr.mgh.harvard.edu> Cc: "Pedro Paz-Alonso" <p.pazalonso(a)bcbl.eu> Sent: Friday, October 17, 2025 8:16:59 PM Subject: RE: Validation of the thalamic nuclei segmentation Dear Melissa, I am CCing the senior author Dr. Paz-Alonso so he can also chime in (I wish I could also CC the neuroanatomist that made the annotations, but, sadly, he passed away last year). THOMAS is great but the underlying atlases used Morel as basis for manual segmentation so it is expected that they agree better with the atlas… and, even then, if you look at the Dice scores in the paper, there are plenty of nuclei where FS is higher. I actually find the experiments on AD staging / classification more compelling. Our atlas has the advanrage of working with any MRI contrast “out of the box”, and is pretty good at snapping to the boundaries of the mediodorsal and posterior nuclei (pulvinar), especially if you provide images with good contrast. But if you have images that match the contrast of THOMAS well, then by all means exploit that agreement and use THOMAS! Just my 2 cents 😉 Kind regards, /Eugenio From: Melissa Thalhammer <melissa.thalhammer(a)tum.de> Sent: Friday, October 17, 2025 3:12 AM To: Freesurfer(a)nmr.mgh.harvard.edu Subject: [Freesurfer] Validation of the thalamic nuclei segmentation External Email - Use Caution Dear FreeSurfers, I read that criticism about the thalamic nuclei segmentation based on T1-images was raised ( DOI: [ https://secure-web.cisco.com/1eJxYpKwA2ZQnNHzMzqolRLQbHC3La8ApnjzLguJLU7IC-… | 10.1016/j.neuroimage.2022.119340 ] and DOI: [ https://secure-web.cisco.com/1Xt62fHdzFAPsCkjEP3euJAJBHslctTFBLGq6CU_IfHiqF… | 10.1162/imag_a_00166 ] ) as overlaps with the Morel stereotactic atlas were not always satisfying. However, I was wondering whether the segmentations with the Morel atlas (registered to MNI space) of individual thalami can be considered a proper validation since individual variation of thalamic nuclei sizes are not taken into account and the atlas is not probabilistic. Can someone elaborate on this criticism? Thank you, Melissa 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 Mass General Brigham Compliance HelpLine at [ https://secure-web.cisco.com/1dXWEfSg2JAqZudeh4s29ZFFfxtrL9p2unTNXkyhgrhM-R… | https://secure-web.cisco.com/13GOIUGGoHrBDNQidkNvxH-Etw6-__vlKLap32IvKeS53M… ] . Please note that this e-mail is not secure (encrypted). If you do not wish to continue communication over unencrypted e-mail, please notify the sender of this message immediately. Continuing to send or respond to e-mail after receiving this message means you understand and accept this risk and wish to continue to communicate over unencrypted e-mail.

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Applying synthmorph deformations using other tools
by Keith Jamison 20 Oct '25

20 Oct '25

External Email - Use Caution I am trying to apply the synthmorph deformation fields using other tools so that I can combine multiple warps, use spline interpolation, etc. I have tried a few variations of the mri_convert and mri_warp_convert commands, but they either crash or result it skewed or otherwise incorrect outputs. Is there an example out there showing exactly what syntax I should use to convert a synthmorph deform.nii.gz output to something that can work with freesurfer mri_warp_convert, or with FSL or ANTs? -Keith

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SuperSynth installation
by Villagran Asiares, Alberto Gaston 20 Oct '25

20 Oct '25

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