You can manage bookmarks using lists, please log in to your user account for this.
Media type:
E-Article
Title:
An interactive meta-analysis of MRI biomarkers of myelin
Contributor:
Mancini, Matteo;
Karakuzu, Agah;
Cohen-Adad, Julien;
Cercignani, Mara;
Nichols, Thomas E;
Stikov, Nikola
imprint:
eLife Sciences Publications, Ltd, 2020
Published in:eLife
Language:
English
DOI:
10.7554/elife.61523
ISSN:
2050-084X
Origination:
Footnote:
Description:
<jats:p>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 (<jats:ext-link ext-link-type="uri" xlink:href="https://neurolibre.github.io/myelin-meta-analysis">https://neurolibre.github.io/myelin-meta-analysis</jats:ext-link>). 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.</jats:p>