Don't work in this area and can't vet claims about the study, so am curious what others think.
Generally, the core argument Chris appears to make—breaking the blind is a fatal flaw for any RCT—appears similar to the argument we've made about using psychedelics for treating mental health problems.
The Department of Basic Neurosciences of UNIGE and the @nccrlanguage.bsky.social are looking for an Assistant Professor with Tenure Track or Associate Professor in Computational Neuroscience. Full details: jobs.unige.ch/www/wd_porta...
#neurojob #academicjob #compneuro
Uni to students: Don't use AI bc it's important to make mistakes & fail to learn, it'll improve your long-term growth.
Also uni: Do *not* fail a single class or you're out. No chances for PhD if you have to re-take an exam. No more summa cum laude if you don't get consistently exceptional grades.
The Iowa Gambling Task is an extreme example of Jingle Fallacy and schmeasurement.
In 100 articles we found 244 different ways of scoring it, 177 were never reused. Correlations between them range -.99 to .99.
At the same time, we show meta-analyses combine these results as if they’re equivalent.
The first part of my PhD research is out now in PNAS! See the thread below and stay tuned for my dissertation work, which builds on this cross-species model of brain network aging
Dear #Neurofeedback and #Neuroimaging enthusiasts,
Please join us at the rtFIN 2026 (Real-Time Functional Imaging and Neurofeedback) Conference which will take place at the Campus Biotech in Geneva, from October 4th to 7th, 2026.
Submissions are open! Please visit rtfin2026.cibm.ch
The last year has been an extraordinary journey for us at @elife.bsky.social as we have been establishing a new model of publishing and taken on some of the commercial forces in publishing. We have tried to capture some of the takeaways in this editorial.
New PhD and post-doc job openings!
Join me and Prof. Nina Kazanina @ Uni Geneva, Switzerland, to take part in an exciting project on relations and binding in language and vision, explored with cutting-edge neurophysiology (#iEEG and MEG).
Full details in the job offer below.
For 15(!) years I’ve been teaching introductory #MRI to grad students, and struggled to find a textbook for a wide variety of backgrounds. I'm happy to share an online textbook I created, fully open source (including code for generating figures and plots shown):
larsonlab.github.io/MRI-educatio...
It's snowing! Right on time to ensure next week #ABIM2026 will be unforgettable from the morning enjoyment of the Alps to the afternoon science fest. ⛷️ Speaking of which, our full program (including the abstracts booklet) is online, check it out: www.unige.ch/ABIM/program
Happy to share that our #Python implementation of GEDAI (Generalized Eigenvalue De-Artifacting Instrument) is now available 🐍 💻 🧠
neurotuning.github.io/gedai/dev/in...
"Maître-assistant.e" position available — more information at this link: jobs.unige.ch/www/wd_porta...
The best brain-machine interface remains the mouth. Evolution spent 4B years of evolution on R&D developing the device, so I guess it's not that surprising. Yet it still rarely appears as a baseline in evaluations of new devices.
Two posts from Bluesky. The first one shows a figure from a paper published in Nature Scientific Reports full of totally incoherent AI fabricated gibberish words. The other a comment on a recently published paper by eLife discussing the paper and its peer reviews which were published along with the paper.
Nature Sci Rep publishes incoherent AI slop. eLife publishes a paper which the reviewers didn't agree with, making all the comments and responses public with thoughtful commentary. One of these journals got delisted by Web of Science for quality concerns from not doing peer review. Guess which one?
eLife Assessment This important study reports the results of efforts to replicate two phenomena of significant interest to early-career scientists and scientific policymakers: the Matthew effect and the early-career setback effect. Several previous studies of these effects have focused on early-career researchers with grant proposals that fell just below or just above a funding threshold. Those just above the threshold were more likely to be successful when they applied for funding later in the career (an example of the well-known Matthew effect), while those just below were more likely to go on to have stronger publication records (the early-career setback effect). In this study the Matthew effect was found to be robust across funders, and to generalize from those close to the funding threshold to the whole population. The early-career setback effect was not robust across funders and did not generalize to the whole population. The evidence reported is convincing.
Evidence from 14 research funding programmes confirms that early winners tend to keep winning (Matthew effect). But the idea that an early setback makes you stronger later doesn’t replicate widely.
buff.ly/UEtcRd4
Check out our newest demonstrating feasabilty of sub-mm whole brain EEG-fMRI at 7T.
Happy to have been part of this amazing collaboration and thank you so much to Cristina and João for leading this project 😊👍.
Is the the neuroimaging community (broadly conceived) submitting to 𝗡𝗲𝘂𝗿𝗼𝗶𝗺𝗮𝗴𝗲 again?????
Not to be publication police but the shift had seemed major 1-2 years ago.
Looking at the editorial board it seems to have serious scientists once more.
Curious about thoughts of the community.
Monty Python understood p-hacking
Enrico Amico and I have a project with competitively awarded studentships available through the MIBTP doctoral landscape award:
Decoding Human Thalamocortical Interactions with Invasive Electrophysiology
warwick.ac.uk/fac/cross_fa...
Please circulate and get in touch if interested.
The names of the speakers: Melanie Boly Ray Dolan Davide Folloni Laura Gwilliams Charles Hillman Hilleke Hulshoff Pol Jean-Rémi King Daniel Margulies Lucia Melloni
Get ready for the biggest #ABIM yet! 🥳 We're celebrating our 20th anniversary with a special edition you won't want to miss.
🗓️ Registration & abstract submission: www.unige.ch/ABIM/partici...
💰Early bird fee ends November 9th!
#ABIM2026 #neuroimaging
Preprint: www.biorxiv.org/content/10.1...
Code: github.com/neurotuning/...
A speech about what drives me, how science and open source are bitter victories, unable to make improve the world if society does not embrace them for the better:
gael-varoquaux.info/personnal/a-...
When @laurapritschet.bsky.social & Pavel Shapturenka set out to build the 28&Me + 28&He datasets, I don't think any of us could've predicted the spectacularly creative ways the datasets would be used years later. That's the power of open science. 👇🏼
#emotion
Armony, J., & Vuilleumier, P. (2025). The Cambridge handbook of human affective neuroscience (2nd ed.). Cambridge University Press. doi.org/10.1017/9781...
New layer-fMRI preprint using simultaneous layer-fMRI with EEG at 7T. Establishing an acquisition and analysis setup to capture layer-fMRI correlates of spontaneous alpha power variations.
By Marsh et al.
doi.org/10.1101/2025...
Normative framework of bigger tech
(aka, me trolling the tech audience)
Ever wondered if your interesting brain-behavior correlation was over- or under-estimated due to head motion, but were afraid to ask? We’ve created a motion impact score for detecting spurious brain-behavior associations, now available in Nature Communications!
doi.org/10.1038/s414...
Excited to share such a career milestone 🌟 Our new @pnas.org paper shows how E–I balance drives dynamic brain adaptation.
Thanks to @jorgejovicich.bsky.social, @dimitrivdv.bsky.social, @asiaferrari.bsky.social, @bcassone.bsky.social & amazing co-authors 🙏
🔗 www.pnas.org/doi/10.1073/...
good idea! any open datasets you could recommend from your group as a starting point?
