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...
Just beyond delighted to see this new work from all-star @goliashf.bsky.social out !!!!! Checkout her thread below ⬇️
Imagine we could characterize neurobiological vulnerability to perinatal mood disorders (PMADs)…even before conception🤯? At the TReNDS Lab, we’re building a multimodal dataset following individuals at elevated risk for PMADs from preconception through postpartum.🧠🤰Check out our preprint!
🧵👇
✨ Massive thanks to all the co-authors and collaborators — especially my fabulous reproducibility buddy @joelleba.bsky.social and my amazing supervisor @ted-satterthwaite.bsky.social !! ✨
7️⃣ We also provide all code used to conduct the reported analyses, accompanied with a reproducibility guideline.
💻 pennlinc.github.io/shafiei_time...
6️⃣ Together, these findings reveal convergence between major axes of cortical organization and development, highlighting intrinsic timescale as a principled marker of hierarchical brain maturation in youth.
5️⃣ Our analysis of an independent healthy young adult dataset (age range 22–37 years) underscores the specificity of the developmental findings, suggesting that the intrinsic timescale develops along the S–A axis in youth and stabilizes in adulthood.
4️⃣ We replicated the findings in an independent developmental sample, assessing the generalizability of the observed developmental patterns.
3️⃣ We found that developmental changes in the intrinsic timescale follow a hierarchical pattern that recapitulates the sensorimotor–association (S–A) axis. Specifically, fMRI-based intrinsic timescale remains relatively stable in sensorimotor regions but increases in association cortex in youth.
2️⃣ Using two independent developmental datasets (age range 8–22 years), we investigated the developmental patterns of intrinsic timescale estimated from functional MRI data.
1️⃣ Intrinsic timescale is a commonly used measure of neural dynamics that displays a hierarchical cortical organization, with shorter timescales in sensorimotor cortex compared to association cortex. However, less is known about how intrinsic timescale evolves during human brain development.
✨Excited to share that our new preprint, "Mapping developmental patterns of intrinsic timescale", is now available on bioRxiv!!
📚 doi.org/10.64898/202...
✨Massive thanks to all the co-authors and collaborators — especially my fabulous reproducibility buddy @joelleba.bsky.social and and my amazing supervisor @ted-satterthwaite.bsky.social !!✨
7️⃣ We also provide all code used to conduct the reported analyses, accompanied with a reproducibility guideline.
💻 pennlinc.github.io/shafiei_time...
6️⃣ Together, these findings reveal convergence between major axes of cortical organization and development, highlighting intrinsic timescale as a principled marker of hierarchical brain maturation in youth.
5️⃣ Our analysis of an independent healthy young adult dataset (age range 22–37 years) underscores the specificity of the developmental findings, suggesting that the intrinsic timescale develops along the S–A axis in youth and stabilizes in adulthood.
4️⃣ We replicated the findings in an independent developmental sample assessing the generalizability of the observed developmental patterns.
3️⃣ We found that developmental changes in the intrinsic timescale follow a hierarchical pattern that recapitulates the sensorimoto–association (S–A) axis. Specifically, fMRI-based intrinsic timescale remains relatively stable in sensorimotor regions but increases in association cortex in youth.
2️⃣ Using two independent developmental datasets (age range 8–22 years), we investigated the developmental patterns of intrinsic timescale estimated from functional MRI data.
1️⃣ Intrinsic timescale is a commonly used measure of neural dynamics that displays a hierarchical cortical organization, with shorter timescales in sensorimotor cortex compared to association cortex. However, less is known about how intrinsic timescale evolves during human brain development.
🍄 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...
🍄 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
Excited to to learn more about this open resource for studies fo the developing brain today in this talk from @goliashf.bsky.social at Noon. Join us.
Bring your laptop. There will be pizza.
200 Goddard @sas.upenn.edu
@pennmedicine.bsky.social @upenn.edu
Reproducible Brain Charts (RBC): Demo & Data Exploration
Learn About RBC, an open resource for studies of the developing brain & mental health
Thursday, March 19, 12–1 PM
200 Goddard
Pizza will be served!
Golia Shafiei, PhD
CIHR Postdoctoral Fellow, PennLINC
mindcore.sas.upenn.edu/calendar_eve...
We think of white matter as the highways of the brain. But when we followed development along those highways, we were surprised. The journey is more complex than we thought. My final PhD paper, “Two Axes of White Matter Development”, is now out in @natcomms.nature.com! 🛣️🧠✨
🔗 bit.ly/wm2axes
Inter-individual variability of neurotransmitter receptor and transporter density in the human brain | doi.org/10.1007/s004...
How do neuroreceptor distributions vary across people?
Nine subcortical/cerebellar atlases included in the subcortex_visualization Python package (and subcortexVisualizationR package in R). The atlases are depicted in two-dimensional vector graphic format.
The extended version of my thesis procrastination project/subcortex visualization package is out now in both Python and R, now that I’ve graduated 🤠 This figure shows the 9 atlases included (and counting)!
Preprint: www.biorxiv.org/content/10.6...
Website: anniegbryant.github.io/subcortex_vi...
Excited to share a new preprint that examines how adversity exposure across development is associated with subcortical-cortical structure-function coupling and youth mental health! 🧠
Thread below: 🧵⬇
