Steven Meisler

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...

MIRROR is completely open: 🧠 Raw MRI data 🗺️ Derived metric maps 📊 Analysis derivatives 💻 Processing + analysis code Data: openneuro.org/datasets/ds0... Code: github.com/PennLINC/mir...

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...

Takeaway #4: Some acquisitions can do more than one job. dMRI, MP2RAGE, and T1w/T2w provide myelin-sensitive information while also supporting tractography, quantitative or anatomical imaging, and standard structural workflows—an important advantage when scan time is limited.

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...

Takeaway #2: Tissue context matters. Relationships among myelin-sensitive metrics were generally stronger in white matter and were not always preserved in cortical gray matter. Findings from one tissue compartment may not generalize to the other.

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...

We also asked whether each metric preserves a participant-specific spatial “fingerprint” across sessions. Most metrics had extremely high discriminability, even when local ICCs were more variable.

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...

How similar are different myelin-sensitive measures to each other? Intermetric correlations were generally stronger in white matter and strongest among measures from the same acquisition/modeling family. QSM measures were particularly distinct from most of the other metrics.

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...

MIRROR includes 2 MRI sessions in 22 adults, with: - diffusion MRI (dMRI) - ihMT - MP2RAGE - QSM - T1w/T2w - Relaxometry We derive 27 myelin-sensitive metrics for primary analyses (93 metrics in the supplement!).

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...

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.

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...

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!

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...

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.

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...

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.

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...

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

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...

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.

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...

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.