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An interactive meta-analysis of MRI biomarkers of myelin

Matteo Mancini, Agah Karakuzu, Julien Cohen-Adad, Mara Cercignani, Thomas E. Nichols and Nikola Stikov

Article (2020)

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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.

Department: Department of Electrical Engineering
Research Center: NeuroPoly - Laboratoire de Recherche en Neuroimagerie
Funders: Wellcome Trust, National Institutes of Health
Grant number: 213722/Z/18/Z, R01MH096906
PolyPublie URL: https://publications.polymtl.ca/46888/
Journal Title: Elife (vol. 9)
DOI: 10.7554/elife.61523
Official URL: https://doi.org/10.7554/elife.61523
Date Deposited: 18 Apr 2023 15:01
Last Modified: 29 Jan 2026 04:26
Cite in APA 7: Mancini, M., Karakuzu, A., Cohen-Adad, J., Cercignani, M., Nichols, T. E., & Stikov, N. (2020). An interactive meta-analysis of MRI biomarkers of myelin. Elife, 9, e61523 (23 pages). https://doi.org/10.7554/elife.61523

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