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Brooke Sevchik

@bsevchik.bsky.social

Psychology PhD student @Stanford | Former data analyst @PennLINC | Duke University ‘24

Brooke Sevchik @bsevchik.bsky.social · 08/04/2026

In partnership with metapsy.org, we built an interactive dashboard for exploring the data. Users can: • Filter studies by characteristics • Test different analysis parameters • Test moderators • Download figures and reports Dashboard: metapsy.org/sypres/mdma-ptsd

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Brooke Sevchik @bsevchik.bsky.social · 08/04/2026

Our database includes 60+ effect sizes, encompassing all PTSD outcomes and timepoints reported by arm in each of the 6 RCTs included. This database can be downloaded from our website (sypres.io) or imported directly into R using the metapsyData package.

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Brooke Sevchik @bsevchik.bsky.social · 08/04/2026

Here, MDMA showed a greater reduction in PTSD symptoms compared to control conditions, with a pooled Hedges’ g = -0.71. But important caveats: small studies, functional unblinding challenges, and a low certainty rating with the GRADE approach should contextualize our results.

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Brooke Sevchik @bsevchik.bsky.social · 08/04/2026

This is the second installation in our sypres.io initiative featuring: 📊 Regularly updated meta-analyses 🔍 User-guided sensitivity and moderation analysis 🕵️ Transparent study quality & risk-of-bias assessments ⚙️ Open code & data

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Brooke Sevchik @bsevchik.bsky.social · 08/04/2026

Psychedelic science has experienced the benefits and drawbacks of hype. However, new results are rarely contextualized in the historical body of evidence in an accessible manner. We need more robust, living evidence synthesis that is visible and accessible to all stakeholders.

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

📊 Our dataset also includes neuroimaging data: • Raw imaging data and fully-processed derived data from structural MRI, diffusion MRI, n-back task fMRI, resting-state fMRI, arterial spin-labeled MRI • Quality control recommendations for imaging data

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

📊 Our dataset includes phenotypic information: • Phenotypic data from multiple cognitive tasks focused on EF from the Penn Computerized Neurocognitive Battery (CNB) • Clinical diagnostic data from clinical interviews

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

Penn LEAD combines longitudinal multi-modal imaging data with rich clinical and cognitive phenotyping. These data include 225 imaging sessions from 132 individuals who are typically developing or meeting criteria for attention-deficit hyperactivity disorder (ADHD) or the psychosis-spectrum (PS).

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

🧠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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