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An interactive meta-analysis of MRI biomarkers of myelin

Authors: Mancini, M; Karakuzu, A; Cohen-Adad, J; Cercignani, M; Nichols, TE; Stikov, N;

An interactive meta-analysis of MRI biomarkers of myelin

Abstract

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 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.

Countries
United Kingdom, Canada
Keywords

neurolibre, QH301-705.5, brain, Science, canadian-open-neuroscience-platform, Q, R, central nervous system, Magnetic Resonance Imaging, Rats, histology, meta-analysis, myelin, Mice, Medicine, Animals, Humans, Biology (General), Biomarkers, Myelin Sheath, MRI, Neuroscience

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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OpenAIRE UsageCountsViews provided by UsageCounts
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101
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36
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