Simon Eickhoff @sbe.bsky.social · 13mWarum ist es so schwer, KI fair zu gestalten? Mein Vortrag (morgen 7.10. um 14 Uhr) in Essen oder online per live-stream: lnkd.in/e9XiAS3h 010
Reposted by Simon EickhoffThomas Yeo @bttyeo.bsky.social · 21/05/2026In a meta-analysis of 210 biomedical AI studies that statistically compared models under cross-validation, 97% used invalid statistical tests. Here's our new preprint doi.org/10.64898/202... led by @tianchu.bsky.social @hetuli.bsky.social @shaoshiz.bsky.social @nichols.bsky.social 1/N 412159
Reposted by Simon EickhoffLeon Lotter @leondlotter.de · 06/05/2026Hello Bluesky! Below this post, you will find all my very interesting "new paper" threads. 🤓 Note that some of these are much older than the timestamp because I rescued them from Twitter to make them accessible for everyone. 672
Reposted by Simon EickhoffJuergen Dukart @juergendukart.bsky.social · 10/02/2026Despite decades of research there are still no reliable biomarkers for any of the major psychiatric diagnoses. In this now published perspective in Molecular Psychiatry we consolidate evidence from genetics, exposome and neuroimaging research on the potential reasons underlying these failures.nature.comThe many-to-many problem of endophenotypes in psychiatry - a biological perspective - Molecular PsychiatryMolecular Psychiatry - The many-to-many problem of endophenotypes in psychiatry - a biological perspective 1136
Reposted by Simon EickhoffTodd Constable @toddc.bsky.social · 23/02/2026It's important to note that when discussing brain structure-function relationships across scales, that the definition of function changes with scale. Keep it straight! @sbe.bsky.social link.springer.com/article/10.1...link.springer.comAnatomic & functional brain atlases: connecting functional flexibility with fixed infrastructure - Brain Structure and FunctionBrain Structure and Function - Recent advancements in imaging across scales has propelled the development of anatomic brain atlases reflecting a wide range of cellular properties. It’s... 095
Reposted by Simon EickhoffMartin Gell @martingell.bsky.social · 11/03/2026🚨 New preprint alert! 🚨 Transdiagnostic latent factor models of psychopathology are widely assumed to improve brain-behaviour associations. So we decided to test this directly and found that they don't. A short 🧵 Link: www.biorxiv.org/content/10.6... 1/10 13417
Reposted by Simon EickhoffCenter for Computational Psychiatry @sinaiccp.bsky.social · 01/12/2025👉Up next, we are excited to welcome @sbe.bsky.social for our next CCP Speaker Series talk! Join us THIS FRIDAY, December 5th, at 1pm EST RSVP HERE for more details: docs.google.com/forms/d/e/1F... 031
Reposted by Simon EickhoffAmin Saberi @amnsbr.bsky.social · 14/11/2025✨ New preprint ✨ Introducing cuBNM, a toolbox we developed to run brain simulations *much* more efficiently on GPUs 🎉🚀 Preprint: www.biorxiv.org/content/10.1... Documentation: cubnm.readthedocs.io/en/stable/ GitHub: github.com/amnsbr/cubnm 1/n 🧵 182
Reposted by Simon EickhoffNeurobiology of Aging @neurobiology-aging.bsky.social · 07/10/2025✨ SHINY NEW PAPER ✨ Sleep-disordered breathing is associated with higher Aβ burden, lower rFDG, and worse cognition in Alzheimer's Disease. @sbe.bsky.social www.sciencedirect.com/science/article/pii/S0197458025001034sciencedirect.comHow is self-reported sleep-disordered breathing linked with biomarkers of Alzheimer’s disease?Sleep-disordered breathing (SDB) is prevalent in Alzheimer’s disease (AD). Here, we assessed how self-reported SDB is linked with AD biomarkers, inclu… 052
Reposted by Simon EickhoffPascal Grumbach @pascal-grumbach.bsky.social · 17/09/2025Excited to see this work published in @natcomms.nature.com! 🧠📊 In-vivo evidence of E/I alterations underlying functional changes in individuals with autism in the large ABIDE1 dataset AND replication in the independent ABIDE2 dataset. 1103
Reposted by Simon EickhoffTed Satterthwaite @ted-satterthwaite.bsky.social · 07/09/2025New preprint from stellar IRTG PhD student Amelie Rauland + team on white matter bundle reconstruction! Shows that WM bundles can be reliably extracted from simple 32-direction dMRI & features predict cognition - huge potential for legacy and clinical data. Thread 👇 www.biorxiv.org/cgi/content/... 13118
Reposted by Simon EickhoffMeike Hettwer @meikehettwer.bsky.social · 25/08/2025The end of a PhD journey 🎓 What a ride - full of lovely people, exciting science, coding tunnels, coffee-brainstorms & amazing conferences! Whole-hearted thank you to all who shared the journey & celebrated with me - especially @sofievalk.bsky.social, @sbe.bsky.social &@mps-cognition.bsky.social 💐🥳❤️ 1232
Reposted by Simon EickhoffThomas Yeo @bttyeo.bsky.social · 17/07/20251/11 Excited to share our @Naturestudy led by @leonooi.bsky.social @csabaorban.bsky.social @shaoshiz.bsky.social AI performance is known to scale with logarithm of sample size (Kaplan 2020), but in many domains, sample size can be # participants or # measurements... doi.org/10.1038/s415... 317182
Reposted by Simon EickhoffTed Satterthwaite @ted-satterthwaite.bsky.social · 25/06/2025Amelie Rauland (all star via IRTG student w/ @sbe.bsky.social ) will be presenting "Benchmarking Reconstruction Methods for Bundle Segmentation in Single-Shell dMRI" on Friday and Saturday, Poster #1283 1113
Reposted by Simon EickhoffABCD-J @abcd-j.bsky.social · 06/06/2025#ABCD-J #Studienhighlights: Eine kürzlich erschienene Studie zeigt mittels #JTrack Social Unterschiede in Kommunikationsmustern zwischen neurotypischen Erwachsenen und Erwachsenen mit #Autismus-Spektrum-Störung auf. Neugierig geworden? Das ganze Highlight gibt es hier: www.abcd-j.de/de/showcases... 142
Reposted by Simon EickhoffAmin Saberi @amnsbr.bsky.social · 05/06/2025🧠⚖️📉 How does the cortical excitation-inhibition ratio mature during adolescence? We asked this in our new paper just out in #ScienceAdvances ✨ “Adolescent maturation of cortical excitation-inhibition ratio based on individualized biophysical network modeling” 📄 www.science.org/doi/full/10.... 🧵⤵️science.orgAdolescent maturation of cortical excitation-inhibition ratio based on individualized biophysical network modelingIndividualized simulations reveal a decrease in excitation-inhibition ratio in association areas throughout adolescence. 34419
Reposted by Simon EickhoffBoris Bernhardt @borismontreal.bsky.social · 05/06/2025⭐ new paper Maturation of cortical excitation-inhibition (EI) in adolescence now in Science Advances 💥 A true tour de force of multimodal MRI, connectomics & GPU-powered 🤖!! biophysical modelling by hiball superheroes 🦸♂️🦸♀️🦸♂️ @amnsbr.bsky.social @sofievalk.bsky.social @sbe.bsky.social 1206
Simon Eickhoff @sbe.bsky.social · 24/04/2025Our #metaanalysis (n = 231) in JAMAPsych reveals consistent brain abnormalities across #sleep disorders involving affective and cognitive hubs in sgACC, amygdala/hippocampus Short-term sleep deprivation shows a distinct picture, affecting the thalamus jamanetwork.com/journals/jam... 0248
Reposted by Simon EickhoffThomas Yeo @bttyeo.bsky.social · 26/03/2025It's finally here! Use the Network Correspondence Toolbox to help contextualize your neuroimaging findings 🧠nature.comA network correspondence toolbox for quantitative evaluation of novel neuroimaging results - Nature CommunicationsHere, the authors present the Network Correspondence Toolbox, which enables researchers to examine and report spatial correspondence between their neuroimaging results and widely used brain atlases. 1118185
Reposted by Simon EickhoffNeuroecologyLab @neuroecologylab.bsky.social · 18/03/2025Always thought we should use connectivity blueprints to investigate differences between human, chimpanzee, and macaque brains? www.jneurosci.org/content/earl... For Katherine Bryant’s latest masterpiece.jneurosci.orgConnectivity profile and function of uniquely human cortical areasDetermining the brain specializations unique to humans requires directly comparative anatomical information from other primates, especially our closest relatives. Human ( Homo sapiens ) (m/f), chimpan... 11710
Simon Eickhoff @sbe.bsky.social · 14/03/2025Analysis Methods: 11:00 – 11:30 Harmonize: Leakage in data harmonization JuSpace: cross-modal brain map correlation Applied Concepts: 11:30 – 12:00 Causal modeling for Confounds in ML Subtypes of major depression 000
Simon Eickhoff @sbe.bsky.social · 14/03/2025NOW, Join if you're interessted Topic: DGKN Hackroom 2025 — Tool Talks Time: Mar 14, 2025 10:30 - 12h fz-juelich-de.zoom.us/j/6792251876... Data Management: 10:30 – 11:00 Datalad: GPDR conform collaboration Jtrack: remote wearable assessmentfz-juelich-de.zoom.usJoin our Cloud HD Video MeetingZoom is the leader in modern enterprise video communications, with an easy, reliable cloud platform for video and audio conferencing, chat, and webinars across mobile, desktop, and room systems. Zoom ... 100
Reposted by Simon EickhoffJuergen Dukart @juergendukart.bsky.social · 12/03/2025Now out in NPJ Digital Medicine our manuscript on real-world evidence for altered communication preferences in autism: nature.com/articles/s41... @sbe.bsky.social @leoschilbach.bsky.socialnature.comReal world evidence for altered communication patterns in individuals with autism spectrum disorder - npj Digital Medicinenpj Digital Medicine - Real world evidence for altered communication patterns in individuals with autism spectrum disorder 194
Reposted by Simon EickhoffOHBM Communications Committee (ComCom) @ohbm-com.com · 06/03/2025A new #Neurosalience episode is out! 🧠 From Big Data to Biomarkers with Peter Bandettini @fmri-today.bsky.social and Simon Eickhoff @sbe.bsky.social youtu.be/z91SiENsgF8youtu.beNeurosalience #S5E10 with Simon Eickhoff - From Big Data to BiomarkersYouTube video by Organization for Human Brain Mapping 072
Reposted by Simon EickhoffABCD-J @abcd-j.bsky.social · 04/03/2025Dazu integrieren wir – das Institut für Neurowissenschaften und Medizin: Gehirn und Verhalten (INM-7) @fz-juelich.de, und unsere klinischen Partner an den Unikliniken Aachen, Bonn, Köln, und Düsseldorf – verschiedene technische Lösungen zu einer digitalen Plattform und vernetzen uns. 051
Reposted by Simon EickhoffThomas Yeo @bttyeo.bsky.social · 24/01/2025Thanks to everyone's feedback, we have updated our calculator to optimize sample size N & scan time T for fMRI studies: leonoqr.github.io/ORSP_Calcula... The first new feature is that users can explore how different N & T leads to different accuracy, e.g., N=1000 & T=30min => 81% max accuracy. 🧵 613758
Simon Eickhoff @sbe.bsky.social · 16/12/2024Fully agreed. This adds another layer of complexity We likely need to differentiate three aspects here - "True" changes of the trait - State-changes due to, e.g., sleep - Measurement error All three can and will superimpose 160
Simon Eickhoff @sbe.bsky.social · 14/12/2024In my view, the take-home message is slightly different from the BWAS paper. The latter argued you need large N. This paper shows that if your target is unreliable, even very large numbers can’t save you Also, association vs prediction 181
Simon Eickhoff @sbe.bsky.social · 13/12/2024The limiting factor for MRI based prediction of behavioral traits may be neither the imaging nor the pipeline or learning algorith but rather the reliability of the target phenotypes Thought provoking work my Martin Gell et al: www.nature.com/articles/s41...nature.comHow measurement noise limits the accuracy of brain-behaviour predictions - Nature CommunicationsOur ability to identify associations between behaviour and brain imaging is important for uncovering markers of cognition and disease. Here, the authors illustrate the importance of the reliability of... 218177
Simon Eickhoff @sbe.bsky.social · 03/12/2024This is what happens if preprints are treated as „scientific literature“ Don’t get me wrong, I am all for preprinting. But unfortunately, it is often ignored that anybody can preprint anything 170
Reposted by Simon EickhoffINCF @incforg.bsky.social · 19/11/2024We created a #neuroinformagical (obvs) starter pack! Let us know who else to add! #openscience #datasharing #neuroskyence 🧪 go.bsky.app/LRqnaMP 155023
Reposted by Simon EickhoffBoris Bernhardt @borismontreal.bsky.social · 25/11/2024woo hoo - fantastic new work from @wanb.bsky.social @sofievalk.bsky.social @sbe.bsky.social & many more on microstructural asymmetry now out in Nature Comms ⤵️ 0142
Simon Eickhoff @sbe.bsky.social · 25/11/2024Love the started-packs. What seems really missing yet is „machine-learning in Neuroimaging / brain medicine“ 🧠 If you work in that (or a related) field introduce yourself below. I will put together the list Please share widely to reach all newcomers 🙏🏽 5133
Simon Eickhoff @sbe.bsky.social · 25/11/2024Looked into BlueSky a while ago… really empty at that time X becoming useless for interesting reads and discussions on science send me in a social-media hiatus Back now and excited about things to come 5865
Reposted by Simon EickhoffJeremy Lefort-Besnard @jlefortbesnard.bsky.social · 27/06/2024Useful reminders from @sbe.bsky.social about #neuroimaging analysis #reproducibility at #OHBM2024: - Different atlases lead to different connectivity matrices. - The target *massively* matters. - ML algorithms just *love* shortcuts. 131
Reposted by Simon EickhoffJim Thompson @jimthommo.bsky.social · 29/08/2024Lots to enjoy in this new paper by Sam Vickery @sbe.bsky.social and others. Brain areas in humans that show the greatest expansion from chimp -> human are the areas that are most susceptible to to the effects of aging www.science.org/doi/10.1126/...science.orgThe uniqueness of human vulnerability to brain aging in great ape evolutionHumans and chimpanzees show brain aging, while its spatial distribution relates to evolutionary expansion only in humans. 1112
Simon Eickhoff @sbe.bsky.social · 17/06/2024We are looking for a community manager and development coordinator for DataLad !! The full description with contact info is at: files.inm7.de/mih/position... 025
Simon Eickhoff @sbe.bsky.social · 22/02/2024Spread the word 📣 Announcing the first BrainHack at the DGKN meeting next month !! After being a staple at OHBM, this will be the first hackroom at a German (clinical) neuroscience meeting Enjoy the spirit of open science with tutorials, hackathons and an unconference 🔜 Join us in Frankfurt 168
Reposted by Simon EickhoffSimon Eickhoff @sbe.bsky.social · 23/10/2023Somehow it seems that computational models were immune to the current sample-size worries in #neuroimaging Turns out they are not 😱 DCM models and connections need 100+ subjects to give stable results New work by Alexander Silchenko & Felix Hoffstaedter: onlinelibrary.wiley.com/doi/10.1002/... 22210
Reposted by Simon Eickhoffdickretired @dickretired.bsky.social · 23/10/2023That is a really important result. These models are being run on an n of 12 or 20. 021
Simon Eickhoff @sbe.bsky.social · 23/10/2023Somehow it seems that computational models were immune to the current sample-size worries in #neuroimaging Turns out they are not 😱 DCM models and connections need 100+ subjects to give stable results New work by Alexander Silchenko & Felix Hoffstaedter: onlinelibrary.wiley.com/doi/10.1002/... 22210
Simon Eickhoff @sbe.bsky.social · 20/10/2023Finally in the public 🚀 JuLearn: an easy-to-use library for leakage-free evaluation and inspection of ML models JuLearn is an open-source Python library simplifying the entry into the ML world -> design & evaluate ML pipelines without encountering common pitfalls arxiv.org/abs/2310.12568 0276
Simon Eickhoff @sbe.bsky.social · 10/10/2023It got a bit chilly in the end, but given that it is already mid-October… 😊 100
Simon Eickhoff @sbe.bsky.social · 02/10/2023Fantastic but very worrisome work by Sami Hamdan: Confound removal in machine learning can itself lead to leakage -> After information about the target from the features using standard approaches you can STILL predict it well academic.oup.com/gigascience/... #neuroskyence #MLSky #neuroimaging 1199
Simon Eickhoff @sbe.bsky.social · 29/09/2023Link to the paper in the final part of the thread (or rather, my moderately successful first try of a BSky thread) bsky.app/profile/sbe.... #neuroskyence #neuroimaging #PsychSky #cogpsyc #SciSky #lingsky 030