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运用髓鞘组织学和蒙特卡罗模拟评估弥散磁共振成像白质束完整性模型。

Evaluation of the diffusion MRI white matter tract integrity model using myelin histology and Monte-Carlo simulations.

机构信息

Center for Brain Imaging Science and Technology, Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrumental Science, Zhejiang University, Zhouyiqing Building, Room 314, Yuquan Campus, Hangzhou 310027, China.

China Brain Bank and Department of Neurology in Second Affiliated Hospital, Key Laboratory of Medical Neurobiology of Zhejiang Province, and Department of Neurobiology, Zhejiang University School of Medicine, Hangzhou 310058, China; Department of Pathology, Zhejiang University School of Medicine, Hangzhou 310058, China.

出版信息

Neuroimage. 2020 Dec;223:117313. doi: 10.1016/j.neuroimage.2020.117313. Epub 2020 Sep 1.

Abstract

Quantitative evaluation of brain myelination has drawn considerable attention. Conventional diffusion-based magnetic resonance imaging models, including diffusion tensor imaging and diffusion kurtosis imaging (DKI), have been used to infer the microstructure and its changes in neurological diseases. White matter tract integrity (WMTI) was proposed as a biophysical model to relate the DKI-derived metrics to the underlying microstructure. Although the model has been validated on ex vivo animal brains, it was not well evaluated with ex vivo human brains. In this study, histological samples (namely corpus callosum) from postmortem human brains have been investigated based on WMTI analyses on a clinical 3T scanner and comparisons with gold standard myelin staining in proteolipid protein and Luxol fast blue. In addition, Monte Carlo simulations were conducted to link changes from ex vivo to in vivo conditions based on the microscale parameters of water diffusivity and permeability. The results show that WMTI metrics, including axonal water fraction AWF, radial extra-axonal diffusivity D, and intra-axonal diffusivity Dwere needed to characterize myelin content alterations. Thus, WMTI model metrics are shown to be promising candidates as sensitive biomarkers of demyelination.

摘要

脑髓鞘形成的定量评估引起了相当多的关注。传统的基于扩散的磁共振成像模型,包括扩散张量成像和扩散峰度成像(DKI),已被用于推断神经疾病中的微观结构及其变化。白质束完整性(WMTI)被提出作为一种生物物理模型,将 DKI 衍生的指标与潜在的微观结构联系起来。尽管该模型已经在离体动物大脑上得到了验证,但在离体人类大脑上的评估效果不佳。在这项研究中,基于临床 3T 扫描仪上的 WMTI 分析,对死后人类大脑的组织样本(即胼胝体)进行了研究,并与载脂蛋白脂蛋白和卢索快速蓝的髓鞘染色的金标准进行了比较。此外,还进行了蒙特卡罗模拟,根据水扩散率和渗透性的微观参数,将离体到体内的变化联系起来。结果表明,需要 WMTI 指标,包括轴突水分数 AWF、径向细胞外轴突扩散率 D 和轴内扩散率 D,来描述髓鞘含量的变化。因此,WMTI 模型指标被证明是脱髓鞘的敏感生物标志物。

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