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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Abstract

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 (https://neurolibre.github.io/myelin-meta-analysis). 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
URI:	http://sro.sussex.ac.uk/id/eprint/94632

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