An interactive meta-analysis of MRI biomarkers of myelin

被引:96
|
作者
Mancini, Matteo [1 ,2 ,3 ]
Karakuzu, Agah [2 ]
Cohen-Adad, Julien [2 ,4 ]
Cercignani, Mara [1 ,5 ]
Nichols, Thomas E. [6 ,7 ]
Stikov, Nikola [2 ,8 ]
机构
[1] Univ Sussex, Brighton & Sussex Med Sch, Dept Neurosci, Brighton, E Sussex, England
[2] Polytech Montreal, NeuroPoly Lab, Montreal, PQ, Canada
[3] Cardiff Univ, CUBRIC, Cardiff, Wales
[4] Univ Montreal, Funct Neuroimaging Unit, CRIUGM, Montreal, PQ, Canada
[5] Fdn Santa Lucia, Neuroimaging Lab, Rome, Italy
[6] Univ Oxford, Wellcome Ctr Integrat Neuroimaging WIN FMRIB, Oxford, England
[7] Univ Oxford, Big Data Inst, Oxford, England
[8] Univ Montreal, Montreal Heart Inst, Montreal, PQ, Canada
来源
ELIFE | 2020年 / 9卷
基金
美国国家卫生研究院; 英国惠康基金;
关键词
D O I
10.7554/eLife.61523
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 (http://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.
引用
收藏
页码:1 / 23
页数:23
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