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An interactive meta-analysis of MRI biomarkers of myelin - Mancini.pdf (11.72 MB)

An interactive meta-analysis of MRI biomarkers of myelin

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posted on 2023-06-09, 21:59 authored by Matteo Mancini, Agah Karakuzu, Julien Cohen-Adad, Mara Cercignani, Thomas E Nichols, Nikola Stikov
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.

Funding

BaMBoo: Building a Meaningful Biomarker of Myelin; G2611; WELLCOME TRUST; 213722/Z/18/Z

History

Publication status

  • Published

File Version

  • Accepted version

Journal

eLife

ISSN

2050-084X

Publisher

eLife Sciences Publications Ltd

Volume

9

Page range

1-23

Article number

a61523

Department affiliated with

  • BSMS Neuroscience Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2020-10-28

First Open Access (FOA) Date

2020-10-28

First Compliant Deposit (FCD) Date

2020-10-27

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