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Ted Satterthwaite @ted-satterthwaite.bsky.social · 1d

Wooohooooo!!! CONGRATS ARMIN!!!!

Reposted by Ted Satterthwaite

ABCD-ReproNim @abcd-repronim.bsky.social · 6d

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 🎉

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Reposted by Ted Satterthwaite

Emily G. Jacobs @emilyjacobs.bsky.social · 5d

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. 👇🏼

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Reposted by Ted Satterthwaite

Mallar Chakravarty @mallarchak.bsky.social · 6d

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...

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Reposted by Ted Satterthwaite

Boris Bernhardt @borismontreal.bsky.social · 6d

🚨 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...

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Ted Satterthwaite @ted-satterthwaite.bsky.social · 14d

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!

Cumulative RBC downloads over time. Lots of people are using RBC, with >2,500 downloads by time of RBC paper publication. Woo!!

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Reposted by Ted Satterthwaite

The Transmitter @thetransmitter.bsky.social · 21d

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...

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...

www.thetransmitter.org

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Reposted by Ted Satterthwaite

Hilary Barth @hilarybarth.bsky.social · 21d

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

Careers at Wesleyan

We welcome your interest in Wesleyan’s diverse, energetic community of employees who, by their creativity, innovative thinking, and generosity of spirit, help make Wesleyan a great place to work. In t...

wesleyan.wd5.myworkdayjobs.com

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Reposted by Ted Satterthwaite

Bratislav Misic @misicbata.bsky.social · 22d

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 ⤵️

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Ted Satterthwaite @ted-satterthwaite.bsky.social · 24d

Just remarkable work— bravo!!!

Alessandro Gozzi @gozziale.bsky.social · 28d

🚨 Excited to share the latest preprint form the lab ➡️https://tinyurl.com/32d3be9f

Here we tackle a long-standing chicken-or-egg 🐣🥚question in #autism and developmental neuroscience

➡️ Is excitation–inhibition (E:I) imbalance a "cause" or a "consequence" of #autism?

Check out what we found!
🧵1/n

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Reposted by Ted Satterthwaite

Vincent Bazinet @vincebaz.bsky.social · 28d

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/...

Bratislav Misic @misicbata.bsky.social · 28d

The effect of spherical projections on spin tests for brain maps | doi.org/10.1162/IMAG...

Spin tests are the de facto null model for map-to-map comparisons in brain imaging. Why don't they perfectly control false positives? @vincebaz.bsky.social explores ⤵️

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Reposted by Ted Satterthwaite

Russ Poldrack @russpoldrack.org · 28d

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

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...

www.biorxiv.org

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Ted Satterthwaite @ted-satterthwaite.bsky.social · 28d

Wooohoo!!! CONGRATS!!!

Carolina Makowski @cmakowski.bsky.social · 28d

The BRIDGE Lab has officially been launched! 🔗 bridgelab.ucsd.edu 👉 we Bridge Research in Imaging, Development, Genetics and Emerging mental health 🧠 🧬 🚸 🌉 please don't be shy to reach out if you are interested in learning more about our lab's research!

BRIDGE Lab

Welcome to the BRIDGE Lab (Bridging Research across Imaging, Development, Genetics, and Emerging Mental Health) within the Department of Psychiatry at the University of California San Diego! Our resea...

bridgelab.ucsd.edu

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Reposted by Ted Satterthwaite

🌙 Lune Bellec @lune-bellec.bsky.social · Sep 8

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/🧵

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Reposted by Ted Satterthwaite

Imaging Neuroscience @imagingneurosci.bsky.social · Sep 5

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.

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Ted Satterthwaite @ted-satterthwaite.bsky.social · Sep 7

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

Ted Satterthwaite @ted-satterthwaite.bsky.social · Sep 7

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

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Ted Satterthwaite @ted-satterthwaite.bsky.social · Sep 7

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 🚀

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Ted Satterthwaite @ted-satterthwaite.bsky.social · Sep 7

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

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Ted Satterthwaite @ted-satterthwaite.bsky.social · Sep 7

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

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Ted Satterthwaite @ted-satterthwaite.bsky.social · Sep 7

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

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Ted Satterthwaite @ted-satterthwaite.bsky.social · Sep 7

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

Ted Satterthwaite @ted-satterthwaite.bsky.social · Sep 7

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

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Ted Satterthwaite @ted-satterthwaite.bsky.social · Sep 7

Amelie found that all major WM bundles can be reliably reconstructed for all three reconstruction methods. Furthermore, methods showed high discriminability (>0.94), but SS3T yielded the highest. 5/n

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Ted Satterthwaite @ted-satterthwaite.bsky.social · Sep 7

In our study, Amelie reconstructed 60 WM tracts in test-retest data from 1221 subjects of the PNC dataset with single-shell, 32-direction dMRI acquisitions. Three methods for ODF reconstruction applicable to this type of data were compared: GQI, CSD, and SS3T. 4/n

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