📢 [Job Alert] We're hiring an MRI Analyst at the BBRC Neuroimaging Facility team in Barcelona! 🧠
Interested in neuroimaging and brain research?
Apply now 👉 https://t.co/bMO3FEPKZM
Questions? Feel free to DM me! 💼 @fpmaragall
Today, we are publishing the first-ever International AI Safety Report, backed by 30 countries and the OECD, UN, and EU.
It summarises the state of the science on AI capabilities and risks, and how to mitigate those risks. 🧵
Link to full Report: https://t.co/k9ggxL7i66
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My new lab @USherbrooke is hiring (MSc, PhD)!
* Cool research on neuroimaging, epilepsy, brain development, etc.
* Located in a brand new building (lots of natural light)
* Worldwide collaborations
* Fun & inclusive environment
* FR/EN
Find out more: https://t.co/cQHeLVl2OE
📣We are excited to share our latest preprint led by Sinead Gaubert exploring neuromagnetic signatures 🧠🧲 of cognitive decline across the spectrum from mild cognitive impairment to Alzheimer's disease dementia on the BioFIND dataset: https://t.co/EXhcMQE7Ri
Our study highlights the potential of #MEG beta power as a robust, non-invasive electrophysiological biomarker to predict Alzheimer’s disease progression, complementing other diagnostic measures, including cognitive scores, MRI, and biological biomarkers.
On the other hand, neural interaction measures (wPLI, power envelopes) did not show sufficiently strong and robust sensor space signals, although showing some systematic frequency-dependent alterations.
By carefully applying advanced signal processing techniques – based on complex Morlet wavelets and Riemannian geometry – we've conducted fine-grained comparisons uncovering subtle alterations in low-frequency brain activity that were not detected by the other sensor-space measures.
Our results underscore the potential of MEG, combined with sophisticated signal analysis, for discovery and translation of brain-activity biomarkers from research-grade MEG to clinical EEG.
A truly collaborative effort with our interdisciplinary team 🤝 Sinead Gaubert, Pilar Garces, Jörg Hipp, Ricardo Bruña, Maria Eugenia Lopéz, Fernando Maestu, Delshad Vaghari, Richard Henson & Claire Paquet
🌞 Join us at Barcelonaβeta Brain Research Center (BBRC) as a Neuroimaging Group Leader! Dive into cutting-edge Alzheimer's research while enjoying the beautiful city of Barcelona. Apply now and be part of our mission to make a difference! https://t.co/8SlRV4HL08 #Alzheimers
And this is where the picture grows a little more ominous for us liberals:
Public concern may have tracked immigration levels relatively well pre-referendum, but it tracked tabloid coverage (here the Daily Mail) even better, and *has continued to track it* post-referendum ⚠️
Gemini is finally out! It has been a big privilege to work on Gemini, dream team for an amazing project 🚀🚀🚀 I was also very fortunate to introduce in this video Gemini’s audio capabilities as well as its ability to reason across text, images and audio ⬇️⬇️⬇️
No one is talking about how amazing Photoshop's generative AI is going to be for science. A simple "improve correlation" prompt and say goodbye to p > 0.05!
How many of the signatories have used their expertise, their influence, their resources to rigourously analyze and expose the risks of current AI systems, and to build solutions that address real harms? That is what we need. Not letters, headlines and inflammatory statements.
Following Elsevier's decision to raise the APC for NeuroImage to $3,450, all editors (inc. EiCs @fmrib_steve@tobergmann@BirteUta) from NeuroImage and NeuroImage:Reports have resigned, effective immediately. I am joining this action and have also resigned https://t.co/0aamG7bemJ
NEW: a column in the Times argues that the only way to tackle obesity is through fat shaming (yes, you read that right).
It’s an astonishing argument to make, and unsurprisingly it falls to pieces under scrutiny.
Let’s take a look, and see if we can do better:
FiNNalLLlYYyy (can't stress this enough) out! If you're into EEG-fMRI fusion you may want to check this out 👇
Extracting electrophysiological correlates of functional magnetic resonance imaging data using the canonical polyadic decomposition https://t.co/ywLez6Hmgn
NEW: deep dive into the grim & highly unequal impacts of a US abortion ban https://t.co/dPhtey3Ruv
We begin with a damning chart:
US women die from pregnancy-related causes at far higher rates than their peers, and black US women die at rates often seen in developing countries
This super @PopovichN chart is imo the single most important message to give people about diet and climate change.
You can cut your dietary carbon footprint almost as much by replacing beef & lamb with other meat, as by going totally veggie.
Eating green needn’t mean no meat.
Really excited to see this paper out! Converging evidence with our previous work combining #MRI#MEG for brain age modeling https://t.co/iCLYKsuUWY (cc @agramfort@GaelVaroquaux ) and amazingly parallel work by @AlbaXifra et al https://t.co/OBlTJXWYQ8
A few people responding to my chart of Covid’s falling IFR with "how do you know it fell because of vaccines, and not natural immunity?"
Here’s IFR overlaid on immunity levels via vax vs via infection. Spot which source of immunity rockets just as IFR collapses... 🧐
Our new paper shows how 1 in 5 people categorically misinterpret bar graphs. A thread...
Press release: https://t.co/uaUjJOCXvp
Paper: https://t.co/CpcWHqfPwG
#DataViz#DataJournalism#BarBarGraphs
New preprint @PsyArXiv from @LinChujun & me! "Fooled by beautiful #data: #Visualization aesthetics bias trust in science, news, and social media." Across 4 studies, we show that people (mis)place more trust in more beautiful graphs. Paper: https://t.co/MgwnAB0cU8 Explainer 🧵👇