Our lab is fully supporting the journal (2 papers published, 1 in revision, and more in prep, 2 reviewed - only me). And looking at the published papers in IMAG, it seems like we are not alone. This journal is becoming the new top neuroimaging journal! Thanks to the editor team for making the move!

🚨Our preprint is online!🚨 www.biorxiv.org/content/10.1... How do #dopamine neurons perform the key calculations in reinforcement #learning? Read on to find out more! 🧵

This is an amazing success story. We are happy to have published several papers there - it really has become the top neuroimaging journal within just two years. Kudos to all who had the courage to make it happen!

The APC at @imagingneurosci.bsky.social is now only $1400! Keep the great submissions coming 🧠 @ohbmofficial.bsky.social @ohbmtrainees.bsky.social

Amazing news! Thanks to strong support from the community, we are able to reduce publication fees!

Launched in 2023, Imaging Neuroscience is now firmly established, with full indexing (PubMed, etc.) and 700 papers to date. We're very happy to announce that we are able to reduce the APC to $1400. Huge thanks to all authors, reviewers, editorial team+board, and MIT Press.

🔥ATTENTION!🔥 Registration for the 2026 Noosa Brain Workshop is now open! Join us for some amazing science, sun, and surf in one of Australia's most beautiful beach towns. Details: tinyurl.com/arbc5pp6 Check out or incredible list of confirmed speakers. More to come...

NIMH Data Archive is now also imposing NIST/ISO requirements (like NBDC). Not sure how many labs actually have the resources to meet these requirements. Is the golden era of open brain imaging data basically over?

Great write up of the @nature.com study on MRI economics by @bttyeo.bsky.social's research group! With @avramholmes.bsky.social @sidchop.bsky.social @carrisacocuzza.bsky.social

Great write up of our @nature.com study by @claudia-lopez.bsky.social

An amazing milestone made possible by our awesome community! 🎉

🚨 New Preprint 🚨 Targeting intracranial electrical stimulation (ES) to network regions defined within individuals causes network-level effects By Cyr et al. *** Q: Can we use individualized network maps from precision fMRI to modulate a targeted network via intracranial ES? A: Yes! 🧵:

I’m elated to share our latest publication - out now in @natmentalhealth.nature.com! www.nature.com/articles/s44... - tour de force by @leahbanellis.bsky.social @brainandstomach.bsky.social and the rest of the VMP team!

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

New paper in Imaging Neuroscience by Jacob Sanz- Robinson and Jean-Baptiste Poline et al.: Open- source platforms to investigate analytical flexibility in neuroimaging doi.org/10.1162/IMAG...

New paper in Imaging Neuroscience by Abhishek Anand, Chandra Murthy & Supratim Ray: Burst estimation through atomic decomposition (BEAD): A toolbox to find oscillatory bursts in brain signals doi.org/10.1162/IMAG...

New paper in Imaging Neuroscience by Haatef Pourmotabbed, Catie Chang et al.: Multimodal state-dependent connectivity analysis of arousal and autonomic centers in the brainstem and basal forebrain doi.org/10.1162/IMAG...

Are world models necessary to achieve human-level agents, or is there a model-free short-cut? Our new #ICML2025 paper tackles this question from first principles, and finds a surprising answer, agents _are_ world models… 🧵 arxiv.org/abs/2506.01622

Great & important work. That said, one area that is still overlooked is data quality. This is harder to model because contrast-to-noise can be application specific, but it's critical when designing large studies. Better data means similar results with smaller N or shorter scans. 1/2

Just incredible results from a massive effort— moves the field forward. Bravo!!!

What a fantastic effort. Truly inspiring to see brilliant people dig deeply into these meta scientific issues. This is the best time to be doing neuroimaging.

I'm so proud to see this great paper finally published in @nature.com!

This new Yeo Lab tool should immediately and permanently replace sample-size-only power calculations for functional MRI. www.nature.com/articles/s41...

And this is only the *first* of *multiple* thorny statistical problems Tom Nichols had solved for my group. My cool things to come!!

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

V useful paper by @bttyeo.bsky.social @leonooi.bsky.social @csabaorban.bsky.social @shaoshiz.bsky.social in @nature.com. Scan longer if you want to predict behav using fMRI and save $. Great use of the TCP data: (pmc.ncbi.nlm.nih.gov/articles/PMC...).

Everyone should try out the Trandiagnostic Connectome Project (TCP) dataset! Openly available on @openneuro.bsky.social

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

Congratulations to Leon and Thomas for a massively important exploration of the tradeoffs between sample size and scan time. This is really critical for anyone designing an fMRI study. I hope NIH study sections can start incorporating these ideas!

Super thankful to @bttyeo.bsky.social @csabaorban.bsky.social and @shaoshiz.bsky.social for pouring in all the effort to make this work possible!

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

Well done folks!!! This is a fantastic paper! And so useful to the community!!!

Excited to see the latest paper from @bttyeo.bsky.social's lab finally published in Nature! Now I know the most economical way to spend my grant money on MRI! No surprise, sample size matters, but adequate sampling in scan time can reduce the cost of sampling adequate numbers of participants.

1/11 Excited to share our @Naturestudy led by @leonooi.bsky.social @csabaorban.bsky.social @shaoshiz.bsky.social AI performance is known to scale with logarithm of sample size (Kaplan 2020), but in many domains, sample size can be # participants or # measurements... doi.org/10.1038/s415...

Absolutely insane www.science.org/content/arti...

Excited to share my first preprint investigating the feasibility and reliability of using precision RSFC in people with Parkinson’s disease! 🧠👇 📄: go.illinois.edu/PDfeasibility 🧵 Thread ⬇️ 1/12

Benchmarking methods for mapping functional connectivity in the brain | doi.org/10.1038/s415... What is the best measure of functional connectivity (FC)? led by @zhenqi.bsky.social in @natmethods.nature.com ⤵️

Honored to receive the #OSCAward2025. Thank you to the #OpenScience community @oscamsterdam.bsky.social for this recognition and for the inspiring work you do! And congrats to the other prize winners! 🎉 1/2

Many cool results from this paper, including a multivariate twist of Simpson's paradox! Stronger salience FC at baseline predicts better cognition at baseline. Would children with larger salience FC increase also enjoy greater cognitive gains over time? Or is the reverse true??

Our new preprint is out! doi.org/10.1101/2025... How do brain networks and cognition co-evolve as children enter adolescence?

Very cool preprint examining how brain networks and cognition co-evolve during development By @bttyeo.bsky.social @lucinauddin.bsky.social @avramholmes.bsky.social @elvisha.bsky.social & colleagues 🧪🧠 www.biorxiv.org/content/10.1...

🚨 Dataset & Manuscript alert! 🚨 The Transdiagnostic Connectome Project (TCP) manuscript is now available @natureportfolio.nature.com Scientific Data! 🎉 www.nature.com/articles/s41... 🧵1👇