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 |
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| 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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