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 Iโve 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. โท๏ธ 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 ๐ ๐ป ๐ง
neurotuning.github.io/gedai/dev/in...
"Maรฎtre-assistant.e" position available โ 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 doesnโt 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 Joรฃo for leading this project ๐๐.
Is the the neuroimaging community (broadly conceived) submitting to ๐ก๐ฒ๐๐ฟ๐ผ๐ถ๐บ๐ฎ๐ด๐ฒ 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-Rรฉmi King Daniel Margulies Lucia Melloni
Get ready for the biggest #ABIM yet! ๐ฅณ We're celebrating our 20th anniversary with a special edition you won't want to miss.
๐๏ธ Registration & abstract submission: www.unige.ch/ABIM/partici...
๐ฐEarly 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. ๐๐ผ
#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? Weโve 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 ๐ Our new @pnas.org paper shows how EโI balance drives dynamic brain adaptation.
Thanks to @jorgejovicich.bsky.social, @dimitrivdv.bsky.social, @asiaferrari.bsky.social, @bcassone.bsky.social & amazing co-authors ๐
๐ www.pnas.org/doi/10.1073/...
good idea! any open datasets you could recommend from your group as a starting point?
This was my first paper with the new @elife.bsky.social model. Have to say, while I don't agree with all the reviewers' comments the new process is awesome. We can directly reply to their concerns and it'll be obvious what changed between revisions when we upload the revised version :) 4/4
We are hiring !
๐ฉ๐ผโ๐๐จโ๐๐ง๐ผโ๐๐จ๐ฟโ๐๐ฉ๐ฟโ๐๐ฉโ๐
I am looking for a motivated person interested in a PhD in basic neuroscience, for a project at the edge between epilepsy and sleep.
If you are interested, check the job announcement:
jobs.unige.ch/www/wd_porta...
Maybe. But what would it mean anyways ๐:
bsky.app/profile/hyru...
2025.ccneuro.org/poster/?id=n...
Launched in 2023, Imaging Neuroscience is now firmly established, with full indexing (PubMed, etc.) and 700 papers to date.
We're very happy to announce that we are able to reduce the APC to $1400.
Huge thanks to all authors, reviewers, editorial team+board, and MIT Press.
Our review discussing the potential use of laminar fMRI for probing the role of cortical layers in epileptic seizure propagation and spread as well as it possible future clinical applications out in Brain (well as accepted manuscript!)
academic.oup.com/brain/advanc...
Happy to see this out: our new preprint shows that laminar GE-BOLD fMRI decoding isnโt immune to vascular draining biases. Simulations reveal false positives due to multivariate signal spread across layers, but oversampling + deconvolution can (sometimes) improve specificity.
New paper๐ฅณ
๐ง In TLE, brain changes go beyond the temporal lobe & beyond normal aging.
Our ENIGMA study (769 patients, 18 sites) found widespread gray & white matter decline, especially after 55. By Judy Chen and a terrific intl' team
Time for earlier diagnosis & deeper research
bit.ly/3HRYeQt
