iiinova — where your digital self keeps evolving

Reposted by Taylor Salo

Huge thanks to the incredible team of 50 co-authors who made this possible! Special thanks to our lab replicator + dMRI guru @cieslakmatt.bsky.social, the UMN team led by @drdamienfair.bsky.social, and my incredibly supportive postdoc advisor @ted-satterthwaite.bsky.social! Preprint: bit.ly/3QMLG0K

biorxiv.org

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Reposted by Taylor Salo

Takeaway #4: These data are openly available! To lower barriers, we release ABCC on NBDC/LASSO: - >24,000 processed dMRI scans - advanced microstructural metrics - tractography + tabular summaries Together, this is a major new resource for reproducible developmental neuroimaging.

Reposted by Taylor Salo

Takeaway #3: Image quality is more complicated than it seems. Some commonly used QC covariates can bias developmental inference. If you are using advanced measures of microstructure (e.g., ICVF) it may not be necessary to include an image quality covariate in analyses.

Reposted by Taylor Salo

Takeaway #2: Not all dMRI measures of microstructure are the same! Measures from advanced multi-shell models are more sensitive to development, more consistent with each other, and more robust to noise than tensor-derived measures. These should be prioritized in analyses!

Reposted by Taylor Salo

Takeaway #1: Harmonization is essential in multisite dMRI data! Scanner effects are large and spatially structured; they can distort developmental patterns and reduce generalizability unless addressed carefully.

Reposted by Taylor Salo

In ABCD, acquisition batch, age, and quality are partially aligned with one another. Given this collinearity, we found that including these age- and batch-aligned quality covariates can attenuate true developmental effects without mitigating noise in the data.

Reposted by Taylor Salo

We compared automated QC metrics vs extensive manual ratings (😮‍💨) To our surprise (and joy!), dMRI contrast explains more microstructural variance than expert ratings. Automated QC can outperform visual inspection at scale – saving hours of manual inspection.

Reposted by Taylor Salo

How sensitive are dMRI metrics to quality? FA was most susceptible to image quality. Notably, FA was most related to dMRI contrast, and NOT motion. In contrast, advanced metrics like ICVF were overall much more robust to image quality – another plus of moving beyond the tensor.

Reposted by Taylor Salo

Different scanners tell the same story; but what about different diffusion metrics? Advanced metrics like ICVF, RTOP, and MKT, exhibited high convergence (ρ ≥ 0.93) in their spatial patterns of development. However, tensor metrics like FA and MD were less consistent.

Reposted by Taylor Salo

Do these developmental effects replicate across scanners? Before harmonization, only modestly. After harmonization: near-perfect correspondence across vendors.

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Reposted by Taylor Salo

With our harmonized data, we asked: which metrics best capture development? Advanced dMRI metrics (ICVF, MKT, and RTOP) showed much stronger age effects (>3x!!!) than traditional tensor metrics (FA and MD). Bottom line?: Metric choice strongly impacts sensitivity to development.

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Reposted by Taylor Salo

Given these scanner differences, harmonization is essential! In unharmonized data, acquisition batch explained up to 70% of microstructural variance. We used cutting-edge longitudinal nonlinear harmonization, which eliminated these effects while preserving developmental effects.

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Reposted by Taylor Salo

ABCD has > 60 scanner batches (unique devices / software versions)!!! There were large differences in quality between scanner vendors (GE, Siemens, and Philips). In GE, image quality was related to software version, which itself was related to age! More on that later…

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Reposted by Taylor Salo

Data are distributed in the ABCD-BIDS Community Collection (ABCC). Derivatives include preprocessed images, over 30 microstructural maps from 4 software tools, 60+ white matter bundles, tidy tabular summaries of bundle-wise measures, and 40 automated image quality metrics.

Reposted by Taylor Salo

Sheila Shanmugan @sheilashanmugan.bsky.social · 14/04/2026

Diffusion MRI (dMRI) is a powerful tool to study white matter maturation. In our new preprint, we process and distribute a new resource of >24,000 ABCD dMRI scans using open source tools! We then evaluate how methods shape inferences about development. 🔗 www.biorxiv.org/content/10.6...

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Reposted by Taylor Salo

Introducing...the PMADS Study!! Check out our preprint and below thread describing our multimodal study protocol integrating MRIs at 3T and 7T, biofluid collection, and clinical and cognitive assessments to characterize risk for perinatal mood and anxiety disorders. Congrats @noemirubau.bsky.social!

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Reposted by Taylor Salo

bioRxiv Neuroscience @biorxiv-neursci.bsky.social · 14/04/2026

The PMADS Project: A Longitudinal Multimodal Cohort Study to Understand Risk for Perinatal Mood and Anxiety Disorders www.biorxiv.org/content/10.64898/20…

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Reposted by Taylor Salo

Neurosynth @neurosynth.bsky.social · 01/04/2026

We've got a Town Hall coming up April 23rd 10:00am (CT)! Join the action to hear about our updates to the Coordinate Based Meta-analysis Algorithms and our work on Image Based Meta-Analysis on the platform! utexas.zoom.us/meeting/regi... #neuroscience #meta-analysis #openscience

utexas.zoom.us

Welcome! You are invited to join a meeting: Neurosynth Compose Town Hall. After registering, you will receive a confirmation email about joining the meeting.

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Reposted by Taylor Salo

Neurosynth @neurosynth.bsky.social · 10/02/2026

A systematic meta-analysis is hard work—and curation is often the hardest part. Y'all know this better than anyone, and we want to make it easier. What’s one specific piece of information you consistently had to find or extract from every paper? Tell us about it: tally.so/r/QKVbQG #neuroscience

media.tenor.com

a man is standing in a kitchen with his hands on his chest and asking for help .

Alt: Tom Cruise is standing in a kitchen with his hands on his chest and asking for help, saying "Help me, Help you"

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Reposted by Taylor Salo

Ariel Rokem @arokem.org · 26/01/2026

Applications for NeuroHackademy 2026 are now open! This is a two-week NIH-funded summer experience that combines neuroimaging and data science in a summer school / experiential hackathon: neurohackademy.org/apply/ @uwpsychology.bsky.social @uwescience.bsky.social

neurohackademy.org

Apply | Neurohackademy

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Reposted by Taylor Salo

Thomas Nichols @nichols.bsky.social · 03/02/2026

Statistical Machine Learning post doc positions, w/ Oxford BDI-Novartis Collaboration for AI in Medicine, working on building causal predictive models for MS using a massive clinical trials MRI dataset. Join us on this unique collaboration! my.corehr.com/pls/uoxrecru... my.corehr.com/pls/uoxrecru...

my.corehr.com

Job Details

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Reposted by Taylor Salo

Imaging Neuroscience @imagingneurosci.bsky.social · 29/01/2026

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 doi.org/10.1162/IMAG...

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Reposted by Taylor Salo

Alejandro de la Vega @neurozorro.bsky.social · 30/01/2026

You can check this out now: compose.neurosynth.org We're continuing to add even more features to streamline and automate meta-analysis-- making it a key part of every scientist's toolkit!

compose.neurosynth.org

neurosynth compose

Neurosynth-Compose App

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Reposted by Taylor Salo

bioRxiv Neuroscience @biorxiv-neursci.bsky.social · 23/12/2025

Anatomical White Matter Tracts Span the Cortical Hierarchy to Support Cognitive Diversity www.biorxiv.org/content/10.64898/20…

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Reposted by Taylor Salo

Neurosynth @neurosynth.bsky.social · 17/12/2025

Big things coming in 2026 🚀: 1️⃣ More support for image-based meta-analysis 🖼️ 2️⃣ Categorical and semantic search for studies (e.g., filter by number of participants, task descriptions) 🔍 3️⃣ Explicit filters for PET/VBM 🧠 4️⃣ A searchable gallery of already run meta-analyses (a la O.G. NeuroSynth) 📚

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Reposted by Taylor Salo

Neurosynth @neurosynth.bsky.social · 17/12/2025

As the year comes to a close, we are taking stock of what we've done and what we are looking forward to in 2026. (One thing we are looking forward to is our January 22nd TownHall! Register here: bit.ly/ns-townhall). Keep reading for some fun stats! ⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️

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Reposted by Taylor Salo

Christine Rogers @christinerogers.bsky.social · 09/12/2025

Connect with #BIDS @bidsstandard.bsky.social at #ebrainsSummit2025 summit with INCF in Brussels this week. Come learn more about the Brain Imaging Data Standard and join the community - BIDS Bounties available! Cc @incforg.bsky.social

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Reposted by Taylor Salo

Neurosynth @neurosynth.bsky.social · 05/12/2025

💡🎥🎭 We have a short video series to help you get a jump-start on your Meta-Analyses! www.youtube.com/playlist?lis...

youtube.com

Neurosynth Compose Quickstart Tutorial Series - YouTube

Get started with Neurosynth Compose: https://compose.neurosynth.org/

katie b, phd @62442katieb.bsky.social · 19/11/2025

Reposted by Taylor Salo

This January! You could be shivering in a post-holiday slump... or You could be hacking on the beach* with us in sunny Hollywood, FL! ☀️🏝️ Applications are due Dec. 1, so head on over to abcd-repronim.github.io/ABCDReproNim... to learn more.

abcd-repronim.github.io

ABCD-ReproNim Hackathon 2026

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Reposted by Taylor Salo

ABCD-ReproNim @abcd-repronim.bsky.social · 15/11/2025

BIG news- applications for our hackathon are NOW OPEN🎉 Apply now to join us in Florida in January 2026! The deadline for applications is DECEMBER 1st🚨 so apply today! For more info & to apply, check out Hackathon.ABCD-ReproNim.org 🎊

Brooke Sevchik @bsevchik.bsky.social · 12/11/2025

Reposted by Taylor Salo

🧠I am excited to announce that our manuscript introducing a new data resource – PennLEAD (Penn Longitudinal Executive functioning in Adolescent Development) – is now available on bioRxiv. Below are some details highlighting our data resource🧵funded by NIMH R01MH113550 www.biorxiv.org/content/10.1...

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Reposted by Taylor Salo

bioRxiv Neuroscience @biorxiv-neursci.bsky.social · 12/11/2025

An Open, Fully-processed, Longitudinal Data Resource to Study Brain Development and Transdiagnostic Executive Function www.biorxiv.org/content/10.1101/202…