Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA.
F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA/Neurosection, Division of MR Research, Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Mult Scler. 2021 Nov;27(13):2040-2051. doi: 10.1177/1352458521994556. Epub 2021 Feb 18.
Cortical demyelination is a relevant aspect of tissue damage in multiple sclerosis (MS). Microstructural changes may affect each layer in the cortex differently.
To evaluate the sensitivity of quantitative magnetic resonance imaging (qMRI) measurements on cortical layers as clinically accessible biomarkers of grey matter (GM) pathology.
Forty-five participants with MS underwent 7 T magnetic resonance imaging (MRI) of the brain. Magnetization prepared two rapid acquisition gradient echoes (MP2RAGE) was processed for T-weighted images and a T map. Multi-echo gradient echo images were processed for quantitative susceptibility and R* maps. Cortical GM volumes were segmented into four cortical layers, and relaxometry metrics were calculated within and between these layers.
Significant correlations were found for disability scales and multi-layer metrics, for example, Expanded Disability Status Scale (EDSS) and peak height (PH) in the subpial (T: ρ = -0.372, < 0.050) and inner (R*: ρ = -0.359, < 0.050) cortical layers. Multivariate regression showed interdependency between atrophy and cortical metrics in some instances, but an independent relationship between cortical metrics and disability in others.
Cortical layer 7 T qMRI analyses reveal layer-specific relationships with disability in MS and allow emergence of clinically relevant associations that are hidden when analysing the full cortex.
皮质脱髓鞘是多发性硬化症(MS)组织损伤的一个相关方面。微观结构的变化可能会对皮质的各个层产生不同的影响。
评估定量磁共振成像(qMRI)测量皮质层的敏感性,作为灰质(GM)病理学的临床可及生物标志物。
45 名 MS 患者接受了 7T 磁共振成像(MRI)脑部扫描。磁化准备双快速获取梯度回波(MP2RAGE)用于 T 加权图像和 T 映射处理。多回波梯度回波图像用于定量磁化率和 R*映射处理。皮质 GM 体积被分割成四个皮质层,并在这些层内和层间计算弛豫率指标。
发现残疾量表和多层指标之间存在显著相关性,例如,扩展残疾状态量表(EDSS)和皮质下(T:ρ=−0.372,<0.050)和内层(R*:ρ=−0.359,<0.050)皮质层的峰值高度(PH)。多元回归显示在某些情况下,萎缩和皮质指标之间存在相互依存关系,但在其他情况下,皮质指标与残疾之间存在独立关系。
皮质层 7T qMRI 分析揭示了 MS 中与残疾相关的特定层关系,并允许出现与临床相关的关联,这些关联在分析整个皮质时是隐藏的。