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In the action-mode, arousal is heightened, attention focused externally, and plans are converted to goal-directed movements and updated based on feedback, such as pain. The brain’s action-mode is created by a dedicated action-mode network (AMN) rdcu.be/d5odm. In the

Full house for Russ Poldrack 's talk on AI-assisted coding: Experiments with GPT-4 Yong Loo Lin School of Medicine

Thanks to everyone's feedback, we have updated our calculator to optimize sample size N & scan time T for fMRI studies. The first new feature is that users can explore how different N & T leads to different accuracy, e.g., N=1000 & T=30min => 81% accuracy.🧵

Users can previously set a budget (e.g., $1M), and then find the sample size N & scan time T to maximize prediction accuracy within the budget. Now users can also set a target accuracy (e.g., 80% of max accuracy), and then find N & T with the lowest cost that achieves the

1/ Excited to share our latest preprint! 🚀 We introduce Spectral Normative Modeling (SNM)—a novel approach leveraging graph spectral methods to advance brain charting towards personalized precision medicine. 🔗medrxiv.org/content/10.110….

Reversible opening of blood-brain barrier is here. NEJM study showed that low-intensity focused ultrasound can temporarily open the blood-brain barrier to augment antibody-based removal of amyloid plaque in patients with Alzheimer’s disease by up to 63%. nejm.org/doi/full/10.10…

✨ CELEBRATE INTERNATIONAL WOMEN'S DAY WITH PURPOSE ✨ This March, join @wghsingapore's Dinner & turn your support for women's equality into meaningful action! 🗓️ 27th March ⏰ 6-10pm 📍 Mandala Club 💰 208 SGD Sign up: eventbrite.sg/e/127016858141… #accelerateaction #GlobalHealth

Look at the distribution of z-values from medical research!

A map of mitochondrial biology reveals the energy landscape of the human brain Wonderful and fun collaboration with Michel Thiebaut de S and many others! Anna Monzel Orian Shirihai Ayelet Rosenberg was the courageous one who tackled this project, and Eugene Mosharov was the engine

Jack Stanley shows how to tailor #LLMs for single-sentence prediction in #autism: -Language models enable robust autism diagnosis from healthcare text reports alone -Interpretability framework points to autism-relevant sentence elements from reports -Comparison against DSM-5

This is the most important paper in the circadian field in over a decade. A completely new clock component that is evolutionarily conserved. Erquan Zhang Susan Golden @ Society for Research on Biological Rhythms rdcu.be/efxV8

"Finding the Best Sleep Tracker" Results of an experiment where I wore 4 sleep trackers every night for 2 months. TLDR Whoop >= Oura > 8Sleep >> Apple Watch + AutoSleep. Link simply right here instead of in a reply because ¯\(ツ)/¯ karpathy.bearblog.dev/finding-the-be…

While the world burns, we cook up a new preprint! doi.org/10.1101/2025.0… Biophysical modeling is a key tool to derive mechanistic insights into the brain. These models are governed by biologically meaningful parameters (unlike deep neural nets), but the dirty secret ... 1/N

Stimulant drugs work great, but how? We found no evidence that they affect the brain’s attention system, instead …check out our new preprint biorxiv.org/content/10.110… and thread by brilliant first author Ben Kay👇🏼 bsky.app/profile/benjam…

New in Nature Medicine: ReSPCT "An international Delphi consensus for reporting of setting in psychedelic clinical trials" by Chloé Pronovost-Morgan, Kyle Greenway, myself, and many ReSPCT Experts. "The ReSPCT guidelines and accompanying explanatory document provide a new standard for

(1/10) How do brain networks and cognition co-evolve as children enter adolescence? While valuable, cross-sectional studies offer only a single snapshot of brain–cognition relationships, missing the dynamic changes that longitudinal designs can reveal. We hypothesize that

Analyses from the largest neurodegeneration focused proteomics database - the Global Neurodegeneration Proteomics Consortium Global Neurodegeneration Proteomics Consortium are published today in Nature Medicine and Nature Aging The findings reveal unique protein biomarkers that correlate with

1/11 Excited to share our @Naturestudy led by Leon Ooi Csaba Orban Shaoshi Zhang doi.org/10.1038/s41586… It is well-known that AI performance scales with logarithm of sample size (Kaplan, McCandlish 2020), but in many domains, sample size can be # participants or # measurements...

Thrilled to share our latest work just published in nature where we looked into the optimal fMRI scan time for brain-wide association studies (BWAS)! Full thread below 👇

Super thankful to Thomas Yeo Csaba Orban and Shaoshi Zhang for pouring in all the effort to make this work possible!