An Open Test--Retest Dataset of Rapid Myelin Mapping Acquisitions
- 1University of Pennsylvania, Philadelphia, PA, USA
Abstract
Myelin supports rapid and efficient neural communication and is implicated in brain development, learning, aging, and neurological disease. Although numerous magnetic resonance imaging (MRI) approaches have been proposed to characterize myelin in vivo, they have rarely been evaluated together within the same participants and across repeated acquisitions. To address these gaps, we introduce the Myelin Imaging Reliability and ReprOducibility Resource (MIRROR), an openly available multimodal test--retest MRI dataset of diffusion MRI (dMRI), inhomogeneous magnetization transfer imaging (ihMT), quantitative susceptibility mapping (QSM), MP2RAGE, T1w/T2w ratio mapping, and transverse relaxometry in 22 healthy adults. We evaluated gray--white matter differentiation, intermetric correspondence, test--retest reliability, and participant specificity across 27 myelin-sensitive metrics. Gray--white matter differentiation was strong for dMRI derivatives, MP2RAGE-derived R1, T1w/T2w, and ihMT, while being substantially weaker for QSM measures. Intermetric spatial correlations were generally strongest within acquisition or modeling families. Test--retest reliability was generally high, particularly for dMRI-derived metrics, but was more variable among QSM-, ihMT-, and R2*-derived measures. Regional spatial profiles were also highly participant-specific, with discriminability approaching its upper bound for most metrics. All imaging data, derived maps, and processing code are openly released. MIRROR provides a benchmark for characterizing the measurement properties and practical tradeoffs of scalable myelin-sensitive MRI methods, supporting principled acquisition selection and accelerating methodological development and validation.
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BibTeX
@misc{meisler2026open,
title = {{An Open Test--Retest Dataset of Rapid Myelin Mapping Acquisitions}},
author = {S. L. Meisler and T. Salo and M. Cieslak and B. L. Sevchik and J. Brook and G. Duhamel and O. M. Girard and B. Larsen and S. Pandey and L. M. Sisk and L. Soustelle and V. J. Sydnor and P. Johnson and D. R. Roalf and R. T. Shinohara and M. Taso and M. D. Tisdall and T. D. Satterthwaite},
howpublished = {bioRxiv},
year = {2026},
month = sep,
doi = {10.64898/2026.09.29.753255},
url = {https://www.biorxiv.org/content/10.64898/2026.09.29.753255v1},
note = {CC BY-NC-ND},
}
RIS
TY - UNPB
TI - An Open Test--Retest Dataset of Rapid Myelin Mapping Acquisitions
AU - S. L. Meisler
AU - T. Salo
AU - M. Cieslak
AU - B. L. Sevchik
AU - J. Brook
AU - G. Duhamel
AU - O. M. Girard
AU - B. Larsen
AU - S. Pandey
AU - L. M. Sisk
AU - L. Soustelle
AU - V. J. Sydnor
AU - P. Johnson
AU - D. R. Roalf
AU - R. T. Shinohara
AU - M. Taso
AU - M. D. Tisdall
AU - T. D. Satterthwaite
PY - 2026
DA - 2026/09/29
PB - bioRxiv
DO - 10.64898/2026.09.29.753255
UR - https://www.biorxiv.org/content/10.64898/2026.09.29.753255v1
AB - Myelin supports rapid and efficient neural communication and is implicated in brain development, learning, aging, and neurological disease. Although numerous magnetic resonance imaging (MRI) approaches have been proposed to characterize myelin in vivo, they have rarely been evaluated together within the same participants and across repeated acquisitions. To address these gaps, we introduce the Myelin Imaging Reliability and ReprOducibility Resource (MIRROR), an openly available multimodal test--retest MRI dataset of diffusion MRI (dMRI), inhomogeneous magnetization transfer imaging (ihMT), quantitative susceptibility mapping (QSM), MP2RAGE, T1w/T2w ratio mapping, and transverse relaxometry in 22 healthy adults. We evaluated gray--white matter differentiation, intermetric correspondence, test--retest reliability, and participant specificity across 27 myelin-sensitive metrics. Gray--white matter differentiation was strong for dMRI derivatives, MP2RAGE-derived R1, T1w/T2w, and ihMT, while being substantially weaker for QSM measures. Intermetric spatial correlations were generally strongest within acquisition or modeling families. Test--retest reliability was generally high, particularly for dMRI-derived metrics, but was more variable among QSM-, ihMT-, and R2*-derived measures. Regional spatial profiles were also highly participant-specific, with discriminability approaching its upper bound for most metrics. All imaging data, derived maps, and processing code are openly released. MIRROR provides a benchmark for characterizing the measurement properties and practical tradeoffs of scalable myelin-sensitive MRI methods, supporting principled acquisition selection and accelerating methodological development and validation.
ER -