An interactive meta-analysis of MRI biomarkers of myelin - Mancini.pdf (11.72 MB)
An interactive meta-analysis of MRI biomarkers of myelin
journal contribution
posted on 2023-06-09, 21:59 authored by Matteo Mancini, Agah Karakuzu, Julien Cohen-Adad, Mara Cercignani, Thomas E Nichols, Nikola StikovSeveral 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.
Funding
BaMBoo: Building a Meaningful Biomarker of Myelin; G2611; WELLCOME TRUST; 213722/Z/18/Z
History
Publication status
- Published
File Version
- Accepted version
Journal
eLifeISSN
2050-084XPublisher
eLife Sciences Publications LtdExternal DOI
Volume
9Page range
1-23Article number
a61523Department affiliated with
- BSMS Neuroscience Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2020-10-28First Open Access (FOA) Date
2020-10-28First Compliant Deposit (FCD) Date
2020-10-27Usage metrics
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