Ted Satterthwaite

So excited this project is now openly available: an ESM / EMA database that currently features 60 open datasets, with many more to come. Check out our accompanying preprins, too :)

🧪 #PsychSciSky #StatsSky #Psychiatry #PublicHealth #EpiSky

Psychedelic 5-HT2A receptor agonism alters neurovascular coupling and differentially affects neuronal and hemodynamic measures of brain function - Nature Neuroscience Padawer-Curry et al. show that the hallucinogenic 5-HT2A receptor agonist DOI alters neurovascular coupling in mice, with implications for the interpretation of human fMRI studies of psychedelics.

Psychedelic 5-HT2A receptor agonism alters neurovascular coupling and differentially affects neuronal and hemodynamic measures of mouse and human brain function

@adamqbauer.bsky.social
@jordacular.bsky.social
@realjoshsiegel.bsky.social
@oliverk28.bsky.social

www.nature.com/articles/s41...

🔥🔥🧠PhD positions are open in my lab, studying brain development and neurodevelopmental disorders based on neuroimaging MRI scans. Due: Dec 1, 2025. If you are interested, please DM me.

New preprint ↙️

Using 2 independent 7T fMRI datasets (HCP & our PNI dataset 🧲 💅 ), we found that intersubject synchronization 👯 during movies aligns closely with cortical gradients 🌈, especially along the visual-to-transmodal axis

by Meaghan Smith & a terrific team ↙️
doi.org/10.1101/2025...

Congratulations to Casey Halpern (@PennNSG), recipient of the NIH Director's Pioneer Award! Learn more about Dr. Halpern & his research interests here➡️ tinyurl.com/ycyw3939 #NIHHighRisk

Join us for the #NeuroHackademy Neuroimaging and Data Science networking event at this year's @sfn.org meeting. Tues. Nov. 18th from 7–9pm at the Marriott Marquis, Grand Ballroom 4. The event is free; food and drink will be available for purchase from the hotel.

Amazing meeting, killer lineup of speakers

Amazing work Jonah!!! Congrats!!!!!!

Wooohooooo!!! CONGRATS ARMIN!!!!

Want to learn more about the Adolescent Brain Cognitive Development study?👀 Check out the ABCD-ReproNim course! The Fall 2025 course is going on NOW✨ Students may have the opportunity to participate in the 2026 hackathon in Miami🏝️ For more info: abcd-repronim.org 🎉

When @laurapritschet.bsky.social & Pavel Shapturenka set out to build the 28&Me + 28&He datasets, I don't think any of us could've predicted the spectacularly creative ways the datasets would be used years later. That's the power of open science. 👇🏼

Check out this great summary of our recent paper on the impact of exposure to #THC during gestation.

Thanks @douglasresearch.bsky.social !!

Orig paper here:

www.nature.com/articles/s41...

🚨 New paper in Nature Methods:
HippoMaps: multiscale cartography of the human hippocampus

Open-source tools & data to explore structure and function of the 🍤🧠 (histology, in/ex vivo MRI, iEEG)

Led by @jordandekraker.bsky.social

docs: hippomaps.readthedocs.io
paper: doi.org/10.1038/s415...

Delighted to see the paper describing the Reproducible Brain Charts open data resource now out in @cp-neuron.bsky.social. Paper + link to data below; huge congrats to @goliashf.bsky.social @milhammichael.bsky.social and the whole RBC team. Lots of people (>2,500 downloads) are already using RBC!

International scientific collaboration is more necessary—yet more challenging—than ever These partnerships accelerate neuroscience by enabling researchers to share resources and expertise, as well as generate more relevant and reproducible results. But new federal funding restrictions in...

The field of human neuroscience particularly benefits from studies conducted in large, diverse cohorts of participants, which produce findings that better generalize to the entire global population, writes @lucinauddin.bsky.social.

#neuroskyence

www.thetransmitter.org/funding/inte...

We’re searching for TWO tenure-track cognitive neuroscientists here in the Wesleyan University Psychology Department! Apply here wesleyan.wd5.myworkdayjobs.com/careers

Network spreading and local biological vulnerability in amyotrophic lateral sclerosis |
doi.org/10.1038/s420...

How do brain network structure and local biological features shape the spatial patterning of atrophy in ALS? @asafarahani.bsky.social investigates ⤵️

Just remarkable work— bravo!!!

Our recent work on spin tests is now published in Imaging Neuroscience🎉

As always, the code to reproduce our results and figures is available on github: github.com/netneurolab/...

Retention and data exclusion challenges for representative longitudinal neuroimaging in the understanding of addiction Head motion during resting-state functional magnetic resonance imaging (rsfMRI) poses a major challenge for neuroimaging research, often leading to data quality concerns and participant exclusions, pa...

Retention and data exclusion challenges for representative longitudinal neuroimaging in the understanding of addiction www.biorxiv.org/content/10.1... - new preprint by @jocelynricard.bsky.social with Keith Humphreys

Wooohoo!!! CONGRATS!!!

Many brain imaging “biomarkers” for autism have been proposed. Most aim for balanced accuracy (matching sensivity/specificity) on datasets where cases and controls are split 50/50. 1/🧵

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.

@ballerlab.bsky.social @audreycluo.bsky.social @valeriejsydnor.bsky.social and many others not on bluesky

Just massive congrats to Amelie Rauland (not on bluesky), who did a truly superb job with this project. Super fun as always work with stellar co-mentors @sbe.bsky.social and @cieslakmatt.bsky.social, as well as an amazing team -- @stevenmeisler.com @aarona-b.bsky.social @joelleba.bsky.social

These results emphasize that many legacy and clinical dMRI datasets are a promising, untapped resource. Leveraging these data could enable large-scale studies, advance brain mapping and rare disease research, and fuel AI methods that thrive on massive datasets 🚀

Bottom line? Single-shell dMRI data with limited angular resolution can reliably reconstruct WM tracts! Features from these reconstructions are robust enough to support brain-behavior analyses. SS3T offered the best balance of reliability, completeness, & prediction accuracy 9/n

Finally, when predicting cognitive performance from different sets of bundle features, GQI and SS3T outperformed CSD. Overall, we observed prediction accuracies comparable to those predicting cognition from WM features extracted from more advanced scans. 8/n

We also found that SS3T had the highest ICC for both volumetric and microstructure (FA, MD) features 7/n

But are reconstructions also biologically plausible? Amelie found that GQI had the highest specificity -- but often yielded incomplete bundles. CSD showed the opposite-- over inclusive bundles with lower specificity. SS3T showed the best balance between sensitivity and specificity. 6/n