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1/6: Excited to share final version of our new hierarchical SUBCORTEX ATLAS in Nature Neuroscience 27 new functional regions organize across 4 scales and adapt to changing cognitive demands Full text access: rdcu.be/b7N8K Well done Ye Ella Tian Michael Breakspear Daniel Margulies

I’m excited to share our new preprint – led by Hyejin J. Lee & Derek Smith – where we applied precision approaches (i.e., extensive per-participant data collection) to behavioral measures of inhibitory control. osf.io/preprints/psya… A 🧵 …

Here's a preliminary release of our calculator to explore sample size and scan time to maximize individual-level prediction accuracy: leonoqr.github.io/ORSP_Calculato… Let us know if anything is unclear or if there's bugs. Your feedback is welcome. If you find this calculator helpful for

Exciting news!

Today, I published my first Nature paper 🎉 I dream of a future where academics realize the value of this platform: a future where academia + industry can truly connect. Where PhDs have an easier bridge for when they (inevitably) change careers. This is the first step.

Using structural connectivity to constrain and inform models of effective connectivity New work from Matthew Greaves Adeel Razi and team

Nature just published a piece on why probability doesn't exist. Lee Cronin said many times chemical reactions are not real. Your genetics professor probably confessed to you before that there are no genes. Biologists still disagree on whether cell types are even real. And we

Thrilled to share our latest publication in Nature Mental Health 🚨 We explored the multimodal neural signature of face processing in autism using normative modeling and linked ICA in the EU-AIMS dataset. Read more here: nature.com/articles/s4422…

I did a thing: A comprehensive #Python package for 🧠 #brain #effective #connectivity: it includes: Granger Causality, Transfer Entropy, and Convergent Cross Mapping, Dynamic Bayesian Network, Structural Equation Modeling, DoWhy Causal Discovery, and Dynamic Causal Modeling, etc

So much research focusses on using brain connectivity to predict an individual's cognition, IQ disease status, etc. BUT what about the inverse problem? Can personal data be used to build an individual's whole connectome? Yes - with AI: biorxiv.org/content/10.110…

Averaging brain responses is not really a great idea... #neuroscience doi.org/10.1038/s41467…

Give the students an MRI sequence and they can do one project. Teach the students Pulseq programming and they can do new projects for their whole life. Our #Pulseq course + #MR-zero simu starts again Monday Mar 10, 9:30 (CET). Just join virtually: buff.ly/cF59vzw

Nature Communications A network correspondence toolbox for quantitative evaluation of novel neuroimaging results nature.com/articles/s4146…

Check out our latest open data release 👇🏾👇🏾👇🏾 Download dataset: openneuro.org/datasets/ds005… Data paper: nature.com/articles/s4159…

Check our latest preprint! biorxiv.org/content/10.110… We present the first population-specific brain charts for China, developed through the Chinese Lifespan Brain Mapping Consortium (Phase I) using high-quality MRI data from 43,037 participants (aged 0-100 years,384 sites). (1/6)

Scientists at UCLA Health have introduced a groundbreaking digital “translator” for brain studies—bridging communication between different brain atlases. @lucinauddin is the senior author of the study published in the journal Nature Communications. Learn more: ucla.in/4lkNMPZ

Tokenization has been the final barrier to truly end-to-end language models. We developed the H-Net: a hierarchical network that replaces tokenization with a dynamic chunking process directly inside the model, automatically discovering and operating over meaningful units of data

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...

Very excited to see this project come out, extending precision fMRI to kids Surprising finding: with low motion and reliable data, kiddos seem ⬇️ less variable in their 🧠brain networks than adults 👇

'Integrating and interpreting brain maps' Review article by Justine Hansen & Bratislav Misic cell.com/trends/neurosc…