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Brand new in PNAS: Subnets of the AMN (action-mode network) for decision-making, action, feedback & the bodily self pnas.org/doi/10.1073/pn…. Great explainer thread 🧵 bsky.app/profile/gordon…

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...

Seems like I @ the wrong Nature nature

V useful paper by Thomas Yeo Leon Ooi & Csaba Orban out in nature. Scan for longer if you want to predict behaviour using fMRI and save $. Check out their calculator: thomasyeolab.github.io/OptimalScanTim…. Also another great use of our TCP data set (pmc.ncbi.nlm.nih.gov/articles/PMC11…).

Proud to be part of this exciting nature study! It's time to embrace longer fMRI scan durations!

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 👇

Congrats! Been following since v1 on bioRxiv—fascinating work!!!

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

another milestone work in the field👍👍👍

For me, this work is a classic OHBM story: In 2023 I wasn't working with Thomas Yeo but I overheard him at his poster pointing to some scan time accuracy curves on his poster saying "I don't why they have this particular shape". That kicked off the collab that led to these results.

Finally a good side effect of my loud voice!

Nature research paper: Longer scans boost prediction and cut costs in brain-wide association studies go.nature.com/46fWRFe

Over a decade of MR-guided focused ultrasound - The Lancet Neurology thelancet.com/journals/laneu…

Nature Longer scans boost prediction and cut costs in brain-wide association studies nature.com/articles/s4158…

Nice to see this awesome study finally out! Strong work!

“This is a gamechanger for the field.” A study co-authored by professor of neurology Nico Dosenbach with NUS shows how to optimize brain scans for designing smarter and more cost-effective studies of neurological and psychiatric conditions.

Thomas Nichols @nichols.bsky.social collaborated with researchers at the National University of Singapore on a recent study published in nature on how longer duration fMRI brain scans reduce costs and improve prediction accuracy for AI models. Read more about the study below 👇

1/11 Very excited to say that our preprint, Precision functional mapping reveals less inter-individual variability in the child vs. adult human brain, is up on biorxiv! biorxiv.org/content/10.110…

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 👇

The whiplash continues: WaPo reports that OMB halted, and then hours later unhalted, these NIH funds. I'll be monitoring the situation this week and will post more as I hear more. Know what's going on? Signal msg me at mkozlov.01. You can stay anonymous. wapo.st/4feKKuu