Arush

Research Fellow at University of Queensland Interests in Diffusion, Functional and Perfusion MRI, photography, and Yoga.

[Healthy Brain and Mind Research Centre @HBMRC_ACU]

Check out our new work in Addiction on #reward function in young people with #cannabis use disorder, using #fMRI during a monetary reward task.
Led by @SkumlienMartine, with thanks to the whole team for a great collaboration!
https://t.co/wAMQMBhSxX
@HBMRC_ACU
#Addiction

[OHBM Australia @OHBM_Australia]

🎉Registration is now OPEN for the 2026 OHBM Australian Chapter Annual Meeting! 🇦🇺🧠🇦🇺

Registration: https://t.co/GjjOMBlXdA

📝 Submit your abstract: https://t.co/0nHYMysxVI

🏆 Nominate a colleague (or yourself) for an award: https://t.co/9OJmx4wFC1

[Thomas Yeo @bttyeo]

In a meta-analysis of 210 biomedical AI studies that statistically compared models under cross-validation, 97% used invalid statistical tests.

Here's our new preprint https://t.co/OG58Vkeu49 led by @tianchuzeng @kkli20111 @ZShaoshi @ten_photos 1/N

[kurt.schilling @kurtschilling5]

(1/5) Out today in @Nature! We all know pediatric growth charts for height and weight, but what about the brain's wiring?

Excited to share our new work establishing comprehensive lifespan reference charts for human brain white matter pathways.

https://t.co/xQtsHBpOGR

[Imaging Neuroscience @ImagingNeurosci]

New paper in Imaging Neuroscience by Clemens Pollak, Martin Reuter, et al:

FastSurfer-CC: A robust, accurate, and comprehensive framework for corpus callosum morphometry

https://t.co/MBHKPHkRKt

[NASA @NASA]

We see our home planet as a whole, lit up in spectacular blues and browns. A green aurora even lights up the atmosphere. That's us, together, watching as our astronauts make their journey to the Moon.

[Valeriy M., PhD, MBA, CQF @predict_addict]

Glad I finished my PhD before the LLM era.

A PhD done with heavy LLM reliance risks becoming like learning to drive in a self-driving car — you arrive, but never really learn how to control the machine.

At that point, what exactly are you training: a researcher, or a prompt operator?

[Huaxiu Yao @HuaxiuYaoML]

Everyone's excited about Karpathy's autoresearch that automates the experiment loop.

We automated the whole damn thing. 🦞

Meet AutoResearchClaw: one message in, full conference paper out. Real experiments. Real citations. Real code. No human in the loop.

One message in → full paper out. Here's what happens in between:

📚 Raids arXiv & Semantic Scholar, digests 50+ papers in minutes
🥊 Three AI agents FIGHT over the best hypothesis (one swings big, one sanity-checks, one tries to kill every idea)
💻 Writes experiment code from scratch, adapts to your hardware
💥 Code crashes at 3am? It reads the stack trace, rewrites the fix, keeps going
🔄 Results weak? It pivots to entirely new hypotheses and starts over
📝 Drafts a full paper with citations, every single one verified against live databases

No babysitting. No Slack messages. No "hey can you re-run this."

Karpathy built the experiment loop. We built the whole lab.

Chat an idea. Get a paper. 🦞

Try it 👉: https://t.co/KLOcnzFYaD

Kudos to the team @JiaqiLiu835914, @richardxp888, @lillianwei423, @StephenQS0710, @Xinyu2ML, @HaoqinT, @zhengop, @cihangxie, @dingmyu, and we are looking for more contributors.

[kurt.schilling @kurtschilling5]

New paper from collaborator (and past lab-mate) @sam_remedios #SPIE_JMI Introducing ECLARE: a self-supervised anisotropic resolution enhancement. I've used in with beautiful results on all sorts of contrasts brain/non-brain! https://t.co/uXkwJYIGTB

[Imaging Neuroscience @ImagingNeurosci]

New paper in Imaging Neuroscience by Emilie Kibsgaard, Cyril R. Pernet, et al:

Assessing metadata privacy in neuroimaging

https://t.co/qmQZqwjx0a

[Agustin Ibañez @AgustinMIbanez]

Exercise improves brain health, but can it also delay brain aging? In a randomized controlled trial, we show that moderate- and heavy-resistance training significantly reduced accelerated aging in brain clocks (estimated with fMRI). The effect is global and distributed, not confined to single brain hubs. Simple, scalable interventions can meaningfully shape brain clock trajectories in healthy aging. Move the body to slow the brain’s tick-tock. Congrats @rglezgz and the full team: Naiara Demnitz, Carlos Coronel, @TheilGates Michael Kjaer, @HSiebner & Carl-Johan Boraxbekk. #LISA team @GBHI_Fellows Paper: https://t.co/xQZAa4b3Pi

[Todd Hollon @ToddCHollon]

We present Prima, the first medical foundation model for neuroimaging that supports full real-world, clinical MRI studies: the whole MRI in >>> diagnosis out!
Thanks to @umichmedicine, @umichneuro, and our @mlins_lab.

https://t.co/VKZBqtbZPW

[Eric Topol @EricTopol]

A new brain MRI foundation model predicts brain age, dementia, survival for brain cancer, and mutations of brain tumors @NatureNeuro
https://t.co/4pHPXiO1G0

[kurt.schilling @kurtschilling5]

Ever wondered how much white matter varies (1) across the brain? (2) across the population? (3) across the lifespan? Check out our preprint and work in collaboration with @DondersInst !!!

https://t.co/2Zee70Nmqc

[Imaging Neuroscience @ImagingNeurosci]

New paper in Imaging Neuroscience by James D. Kent, Alejandro de la Vega, et al:

Neurosynth Compose: A web-based platform for flexible and reproducible neuroimaging meta-analysis

https://t.co/2JLYkOPiBq

[Michael Fox @foxmdphd]

Are connectome-based network mapping methods and the >200 papers that have used it invalid?

New paper out in @NatureNeuro says YES. https://t.co/U0OLZUSJWl

I have concerns about this new paper's methods and conclusions, but am biased. What do others think?

[kurt.schilling @kurtschilling5]

If you work with tractography streamlines (or diffusion MRI) you're going to want to see what's in this scilpy library! https://t.co/fBbV82bUDe Everything is intuitive, working with #tracking #bundle #connectivity #surface #viz (visualizing) #fodf #dwi and more.

[Aslan Abivardi @AAbivardi]

PANDORA is out 🧠⚡️
Run your high-res population (>80K) multimodal MRI study — now

▲ 98 mods
▲ speed/power/RAM wins🚀
▲ New supervoxels

Super easy with your var of choice

preprint with @fmrib_steve et al. (@OxfordCIN): https://t.co/gcj23c4i6w

start: https://t.co/GyaLEfLvVV

[Bratislav Misic @misicbata]

netneurotools: a trainee-oriented approach to network neuroscience | https://t.co/JOQXXr0ZWU

Our lab’s internal toolkit for accomplishing everyday tasks in brain imaging ⤵️

[kurt.schilling @kurtschilling5]

Great review from @vuiis John Gore on "The nature and interpretation of BOLD signals in white matter".

https://t.co/Kvg3Vk030y