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Very excited about new study from our group!

Very interesting and exciting new results!

this paper's nuts. for sentence classification on out-of-domain datasets, all neural (Transformer or not) approaches lose to good old kNN on representations generated by.... gzip aclanthology.org/2023.findings-…

'A critical period plasticity framework for the sensorimotor–association axis of cortical neurodevelopment' Trends in Neurosciences Review by @Bart_Larsen, @valerieJsydnor, Arielle Keller, Thomas Yeo & Ted Satterthwaite Ted Satterthwaite cell.com/trends/neurosc…

Anybody else having problems with ABCD 5.0 release? Minimally processed data is missing for many children. Raw data is complete but docker to perform minimally processing is incomplete. We were told nothing will be fixed until summer 2024 & previous releases are not available...

could meta-matching be extended to structural MRI data? Yes! Please see our lab's latest meta-matching work by Naren👇

Super excited about this new preprint. Will do a thread on it later today.

Check out our new study discussing the balance between sample size and scan duration in BWAS. Led by the awesome Leon Ooi and Csaba Orban! "The returns of scan duration eventually diminish relative to sample size, which we explain with principled theoretical derivations." 👇

What drives fMRI signals to go up or down? Beyond conventional “neurovascular coupling”, our latest work Nature Communications reveals critical factors in the striatum by controlling and measuring key cell types and circuits across scales, modalities, and species: nature.com/articles/s4146…

👀 In-vivo whole-cortex marker of excitation-inhibition ratio indexes cortical maturation and cognitive ability in youth | bioRxiv biorxiv.org/content/10.110…

Ventral attention network connectivity is linked to cortical maturation and cognitive ability in childhood, shown using multiple cross-culture longitudinal datasets nature.com/articles/s4159…

Very excited to see ventral attention network playing a key role in cortical maturation, thanks to the beautiful work of Hao-Ming Dong Loïc Labache Shaoshi Zhang Leon Ooi Thomas Yeo Daniel Margulies @AvramHolmes Xi-Nian Zuo Congratulations!

Check out the latest update on our study! We dive into the nuances of the tradeoff between scan time and sample size in BWAS analyses. A special thanks to all the coauthors who contributed their datasets to make this possible!

Check out our version 1.0 of the sample size-scan time calculator. Any feedback is welcome and stay tuned for more updates to come! 👇

🚨 Predicting Alzheimer's Progression 🚨 A thread 🧵 1/ Accurate prediction of Alzheimer’s progression is critical for early intervention. How can we make predictions more precise and generalizable? 🧠✨ 📝 Read the preprint led by Chen Zhang : doi.org/10.1101/2024.1…

🚨 Brain Age vs Direct Models in Alzheimer’s disease (AD) 🚨 A thread 🧵 1/ Brain age is a powerful indicator of general brain health, trained on massive datasets. But does this translate to better prediction for specific outcomes, like AD? Preprint by Trevor Tan :

New paper by Lydia Qu Yueyue Lydia Qu (lydiaquq.bsky.social) et. al out now in Nature Nature Mental Health 📰 Here, we show that predictive network features are distinct across internalizing and externalizing traits/behaviors. With Carrisa V Cocuzza, PhD (she/her),Thomas Yeo,Elvisha Dhamala, and more 🌟 shorturl.at/67TH1

Check out our latest preprint led by the amazing Tianchu and Tian Fang where we speed up the tedious parameter optimization process for biophysical modelling🔥👇