An interactive meta-analysis of MRI biomarkers of myelin

Elife. 2020 Oct 21:9:e61523. doi: 10.7554/eLife.61523.

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.

Keywords: MRI; brain; central nervous system; histology; human; meta-analysis; mouse; myelin; neuroscience; rat.

Publication types

  • Meta-Analysis
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Systematic Review

MeSH terms

  • Animals
  • Biomarkers / analysis
  • Humans
  • Magnetic Resonance Imaging* / methods
  • Mice
  • Myelin Sheath / chemistry*
  • Rats

Substances

  • Biomarkers