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Juliette Brook

@juliettebrook.bsky.social

Juliette Brook @juliettebrook.bsky.social · 06/05/2025

Haochang Shou, Manuel Taso, Lauren K. White, Daniel H. Wolf, @mdtisdall.bsky.social, David R. Roalf, @ted-satterthwaite.bsky.social !!

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Juliette Brook @juliettebrook.bsky.social · 06/05/2025

Phoebe Freedman, Philip R. Gehrman, Ruben C. Gur, Raquel E. Gur, Arno Klein, Nina Laney, Timothy O. Laumann, @kahinimehta.bsky.social, Kathleen Merikangas, Michael P. Milham, @j-a-mitchell.bsky.social, Tyler M. Moore, Steven M. Nelson, Kosha Ruparel, Brooke L. Sevchik, @sheilashanmugan.bsky.social

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Juliette Brook @juliettebrook.bsky.social · 06/05/2025

Many thanks to all of the co-authors involved in this project! 🌟 @audreycluo.bsky.social, @joelleba.bsky.social, Sage Rush, @aarona-b.bsky.social, @ballerlab.bsky.social, Monica E. Calkins, @cieslakmatt.bsky.social, Elena C. Cooper, John A. Detre, Mark A. Elliot, @drdamienfair.bsky.social

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Juliette Brook @juliettebrook.bsky.social · 06/05/2025

Given the prominence of AI across psychiatric disorders, we hope that this data resource will accelerate translational research moving forward.

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Juliette Brook @juliettebrook.bsky.social · 06/05/2025

Multi-echo fMRI and other enhanced imaging sequences (like compressed sensing diffusion spectrum imaging; CS-DSI) helps to identify person-specific variation with less data (especially valuable in developmental studies). Notably we share both raw AND fully processed data — all in BIDS on OpenNeuro!

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Juliette Brook @juliettebrook.bsky.social · 06/05/2025

Our study uses wearables to obtain granular measures of sleep and activity, thus overcoming questionnaire-related limitations of recall bias. You get 21-days worth of sleep (e.g. sleep duration) and physical activity (e.g. time spent in vigorous activity) data in real-world settings.

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Juliette Brook @juliettebrook.bsky.social · 06/05/2025

EMA offers a promising alternative to retrospective scales by measuring participants’ self-reported symptoms and activities as they occur in daily life, providing contextual richness and naturalistic data. TLDR: EMA tells us how participants feel in real time!

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Juliette Brook @juliettebrook.bsky.social · 06/05/2025

Work examining AI has less commonly considered both imaging and densely-sampled behavioral measures in their analyses. Our open data resource targets this research gap by highlighting a new combination of brain and behavioral measures to study AI in youth!

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Juliette Brook @juliettebrook.bsky.social · 06/05/2025

Shoutout to my fellow lead author @tsalo.bsky.social in highlighting this protocol and initial data release! 🧠‼️

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Juliette Brook @juliettebrook.bsky.social · 06/05/2025

Dreaming of a dataset that tracks mood, sleep & activity to better understand affective instability (AI)…AND paired with advanced MRI? 🤯 Check out our new bioRxiv preprint for a 13–23 y/o community sample (n=10 and growing!) with multi-echo fMRI, EMA & actigraphy: www.biorxiv.org/content/10.1...

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