An interactive meta-analysis of MRI biomarkers of myelin

Mancini, Matteo, Karakuzu, Agah, Cohen-Adad, Julien, Cercignani, Mara, Nichols, Thomas E and Stikov, Nikola (2020) An interactive meta-analysis of MRI biomarkers of myelin. eLife, 9. a61523 1-23. ISSN 2050-084X

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Several MRI measures have been proposed as in vivo biomarkers of myelin, each with applications ranging from plasticity to pathology. Despite the availability of these myelin-sensitive modalities, specificity and sensitivity have been a matter of discussion. Debate about which MRI measure is the most suitable for quantifying myelin is still ongoing. In this study, we performed a systematic review of published quantitative validation studies to clarify how different these measures are when compared to the underlying histology. We analysed the results from 43 studies applying meta-analysis tools, controlling for study sample size and using interactive visualization ( We report the overall estimates and the prediction intervals for the coefficient of determination and find that MT and relaxometry-based measures exhibit the highest correlations with myelin content. We also show which measures are, and which measures are not statistically different regarding their relationship with histology.

Item Type: Article
Schools and Departments: Brighton and Sussex Medical School > Neuroscience
SWORD Depositor: Mx Elements Account
Depositing User: Mx Elements Account
Date Deposited: 28 Oct 2020 07:45
Last Modified: 25 Feb 2022 12:45

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Project NameSussex Project NumberFunderFunder Ref
BaMBoo: Building a Meaningful Biomarker of MyelinG2611WELLCOME TRUST213722/Z/18/Z