Brooke Sevchik

Brooke Sevchik

@bsevchik.bsky.social

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

66 followers69 following23 posts

Brooke Sevchik reposted

Neuropsychopharmacology
@npp-journal.bsky.social

Replying to @npp-journal.bsky.social

#TWiNPP A living systematic review and meta-analysis supports MDMA-assisted therapy as a promising treatment for PTSD / @parkersingleton.bsky.social @bsevchik.bsky.social @jcobbscott.bsky.social @ted-satterthwaite.bsky.social www.nature.com/articles/s41...

nature.comA living systematic review, meta-analysis, and open data resource of trials of MDMA-assisted therapy for PTSD - NeuropsychopharmacologyNeuropsychopharmacology - A living systematic review, meta-analysis, and open data resource of trials of MDMA-assisted therapy for PTSD

Brooke Sevchik reposted

Steven Meisler
@stevenmeisler.com

Excited that this paper, "Highly replicable multisite patterns of adolescent white matter maturation", has now been published in Neuron! It may be found at cell.com/neuron/fullt.... To freely access the paper for the next 50 days, please use this link: authors.elsevier.com/c/1nxdd3BtfH...

cell.comHighly replicable multisite patterns of adolescent white matter maturationMeisler et al. present a large public resource of fully processed diffusion MRI from the ABCD study and show that advanced diffusion measures and longitudinal harmonization improve the replicability a...
Steven Meisler@stevenmeisler.com

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...

Brooke Sevchik
@bsevchik.bsky.social

Very excited to announce that this living systematic review and meta-analysis is now published in Neuropsychopharmacology! doi.org/10.1038/s413...

doi.orgA living systematic review, meta-analysis, and open data resource of trials of MDMA-assisted therapy for PTSD - NeuropsychopharmacologyNeuropsychopharmacology - A living systematic review, meta-analysis, and open data resource of trials of MDMA-assisted therapy for PTSD
Brooke Sevchik@bsevchik.bsky.social

🍄 Our new living systematic review and meta-analysis on MDMA for PTSD is now live on medRxiv. Here's what we found and how we built upon our open science infrastructure to support it 🧵 www.medrxiv.org/content/10.6...

medrxiv.orgA living systematic review, meta-analysis, and open data resource of trials of MDMA-assisted therapy for PTSD3,4-methylenedioxymethamphetamine (MDMA) has emerged as a potential treatment for post-traumatic stress disorder (PTSD), generating considerable enthusiasm in the field. However, rapidly changing evid...

Brooke Sevchik reposted

Steven Meisler
@stevenmeisler.com

There are many MRI approaches for studying myelin. But which ones are reliable, how do they relate to each other, and how do they behave in gray vs white matter? In our new preprint, we introduce Myelin Imaging Reliability and ReprOducibility Resource (MIRROR) 🧠🪞 📄🔗 www.biorxiv.org/content/10.6...

Brooke Sevchik reposted

Golia Shafiei
@goliashf.bsky.social

So excited that our work is now published in PLOS Biology!! 🎉 Check out the final version here: doi.org/10.1371/jour... And for a bit more context and what we found, here’s our earlier thread: bsky.app/profile/goli...

PLOS Biology@plosbiology.org

How do intrinsic timescales, which reflect the temporal window of neural processing, mature during development? This study by @goliashf.bsky.social @ted-satterthwaite.bsky.social &co identifies a hierarchical trajectory, from sensorimotor to association cortices. 🧪 #NeuroSky plos.io/46RzqRG

Brooke Sevchik
@bsevchik.bsky.social

Very excited to announce that this work is now published in Scientific Data! doi.org/10.1038/s415...

doi.orgA longitudinal data resource to study brain development and transdiagnostic variation in executive function - Scientific DataScientific Data - A longitudinal data resource to study brain development and transdiagnostic variation in executive function
Brooke Sevchik@bsevchik.bsky.social

🧠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...

Brooke Sevchik reposted

briana-mac.bsky.social
@briana-mac.bsky.social

How much does the childhood environment shape the brain? In our new preprint, we study the exposome (300+ environmental exposures) and link it to white matter structure in 8,000+ kids. 🧠✨ 🔗 Read the preprint: bit.ly/4wfsybZ 🧵 Thread below

bit.lyWhite matter reflects the childhood exposomeThe childhood environment is critical for brain development. However, most neuroimaging studies examine individual environmental measures (e.g., socioeconomic status) or a limited set of exposures, obscuring how the combination of complex, real-world exposures jointly influence brain development. Here we investigated how white matter shape and tissue properties are linked to the childhood exposome, a multidimensional measure capturing over 300 environmental exposures. Using multi-shell diffusion MRI from 8,183 children (ages 9-10) in the ABCD study, we quantified microstructural and macrostructural properties across 62 person-specific white matter tracts. The exposome showed widespread and highly replicable associations with both white matter microstructure and macrostructure: more advantaged environments were associated with larger tract macrostructure and lower orientation dispersion. Principal component analysis revealed that the dominant axis of exposome-white matter covariation aligns with the cortical sensorimotor-association hierarchy, such that tracts spanning this hierarchy exhibit the strongest associations with the exposome. Multivariate models demonstrated that patterns of white matter features explained 25% of the variance in the exposome in unseen individuals. Notably, white matter-based prediction of cognition was markedly reduced after accounting for the exposome (~82% reduction in explained variance), indicating that brain-cognition associations overlap substantially with variance captured by the exposome. These findings generalized to independent data from the Healthy Brain Network (n=869), which differs substantially from ABCD in MRI acquisition, participant selection, and childhood environments. Together, these results suggest that white matter architecture strongly reflects the childhood environment. ### Competing Interest Statement A.A.B. has consulted for Octave Bioscience and holds equity in Centile Bioscience. RB is on the Advisory Board and holds equity in Taliaz Health. D.A.F. is a founder of Turing Medical. Any potential conflict of interest has been reviewed and managed by the University of Minnesota. D.A.F. is an inventor of the FIRMM Technology 2198 (FIRMM, real-time monitoring and prediction of motion in MRI scans, exclusively licensed to Turing Medical). Any potential conflict of interest has been reviewed and managed by the University of Minnesota. This research was supported by funding from the National Institutes of Health (T32MH019112 to S.L.M.; R37MH125829 to D.A.F. and T.D.S.; 2R01MH112847 to R.T.S. and T.D.S.; R01MH120482 to T.D.S.; 2R01MH113550 to T.D.S.; R01MH123550 to R.T.S; F30MH138048 to K.Y.S.; RF1MH121868, RF1MH121867, RF1MH126699, R01AG060942, U19AG066567, R01EY033628, and R01EB027585 to A.R.; R01MH134886 to R.B.; T32MH016804 and T32MH018951 to V.J.S; R01MH133843 to A.A.B.; F31MH136685 to J.B.). S.L.M. was supported by the Hartwell Foundation (S.L.M.); G.S. was supported by a postdoctoral fellowship from the Canadian Institutes of Health Research (CIHR). A.S.K. is supported by a NARSAD Young Investigator Award from the Brain and Behavior Research Foundation. M.D.H. was supported by the German Research Foundation (project number 572317568). LMS was supported by a NSF SBE Postdoctoral Research Fellowship (#2507497).

Brooke Sevchik reposted

Steven Meisler
@stevenmeisler.com

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...

Brooke Sevchik
@bsevchik.bsky.social

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.

Brooke Sevchik
@bsevchik.bsky.social

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

Brooke Sevchik
@bsevchik.bsky.social

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.

Brooke Sevchik
@bsevchik.bsky.social

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.

Brooke Sevchik reposted

Parker Singleton
@parkersingleton.bsky.social

🍄 Our new living systematic review and meta-analysis on psilocybin for depression is out now in Nature Mental Health. Here's what we found and the open science infrastructure we built to support it 🧵 Open-Access Link: rdcu.be/fbU5V

rdcu.beA living systematic review, meta-analysis and open-data resource of randomized controlled trials of psilocybin treatment for symptoms of depressionNature Mental Health - This study presents a living systematic review and open-data meta-analytic database from 15 randomized controlled trials examining the effects of psilocybin treatment on...

Brooke Sevchik reposted

Ted Satterthwaite
@ted-satterthwaite.bsky.social

#PenNLINC is recruiting a clinical coordinator / lab manager!!! Looking for someone who is good with both people + code, wants to learn to acquire + analyze imaging data. Alumni in this role have written 1st author papers + gone to top grad programs. Website: www.pennlinc.io Job: bit.ly/4ojvCir

pennlinc.ioneuroimaging | Satterthwaite Lab | UPennwww.satterthwaitelab.com Homepage for Satterthwaite lab neuroimaging | neurodevelopment | adolescence | psychiatry | machine learning | network science
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Brooke Sevchik
@bsevchik.bsky.social

🔬 Throughout the dataset, we maintain an open science infrastructure: ✅ Public sharing of data and code: All raw data and fully-processed derived data are anonymized and publicly shared on OpenNeuro. All custom code and quality control recommendations are publicly shared on GitHub.

Brooke Sevchik
@bsevchik.bsky.social

✅ We used open-source, containerized, reproducible processing pipelines and software for all image processing and analysis: This includes HeuDiConv and CuBIDS for organization and curation of BIDS images; and BABS, fMRIPrep, XCP-D, QSIPrep, QSIRecon, and ASLPrep for image processing.

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Brooke Sevchik
@bsevchik.bsky.social

📊 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

Brooke Sevchik
@bsevchik.bsky.social

📊 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

Brooke Sevchik
@bsevchik.bsky.social

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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