An interactive meta-analysis of MRI biomarkers of myelin.

Macini, Matteo, Karakuzu, Agah, Cohen-Adad, Julien, Cercignani, Mara ORCID: https://orcid.org/0000-0002-4550-2456, Nichols, Thomas E. and Stikov, Nikola 2020. An interactive meta-analysis of MRI biomarkers of myelin. eLife 2020 (9) , e61523. 10.7554/elife.61523

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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 analyzed 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
Date Type:	Publication
Status:	Published
Schools:	Psychology Cardiff University Brain Research Imaging Centre (CUBRIC)
Publisher:	eLife Sciences Publications
ISSN:	2050-084X
Date of First Compliant Deposit:	10 March 2021
Date of Acceptance:	20 October 2020
Last Modified:	05 May 2023 07:32
URI:	https://orca.cardiff.ac.uk/id/eprint/139589

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