Department of Neuroscience, Brighton and Sussex Medical School, University of Sussex, Brighton, United Kingdom.
NeuroPoly Lab, Polytechnique Montreal, Montreal, Canada.
Elife. 2020 Oct 21;9:e61523. doi: 10.7554/eLife.61523.
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.
已经提出了几种 MRI 测量方法作为髓鞘的体内生物标志物,每种方法的应用范围从可塑性到病理学都有涉及。尽管有这些髓鞘敏感的模态,但特异性和敏感性一直是讨论的问题。关于哪种 MRI 测量最适合量化髓鞘的争论仍在继续。在这项研究中,我们对已发表的定量验证研究进行了系统综述,以阐明与潜在组织学相比,这些测量方法有何不同。我们使用元分析工具分析了 43 项研究的结果,控制了研究样本量,并使用交互式可视化(https://neurolibre.github.io/myelin-meta-analysis)。我们报告了决定系数的总体估计值和预测区间,并发现 MT 和基于弛豫率的测量方法与髓鞘含量的相关性最高。我们还显示了哪些测量方法与组织学具有统计学上的显著相关性,哪些则没有。