利用微结构核磁共振成像技术,在一组 Mbp 增强子编辑小鼠品系中绘制髓鞘和 g 比率的超高分辨率图谱。

IF 4.7 2区 医学 Q1 NEUROIMAGING
Vladimir Grouza,Hooman Bagheri,Hanwen Liu,Marius Tuznik,Zhe Wu,Nicole Robinson,Katherine A Siminovitch,Alan C Peterson,David A Rudko
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引用次数: 0

摘要

利用微结构磁共振成像技术绘制的无创髓鞘水分数(MWF)和g比率图有可能为我们深入了解大脑微结构以及我们对神经可塑性和神经炎症的整体认识提供重要依据。通过利用独特的变异性髓鞘发育不全小鼠品系,我们验证了一种用于全脑 MWF 图谱的高分辨率、无模型图像重建方法。此外,通过采用双极梯度回波核磁共振成像序列,我们在整个小鼠大脑中实现了高空间分辨率和稳健的 MWF 和 g 比率映射。我们的区域白质束特异性分析表明,白质束中的 MWF 呈梯度下降,这与髓鞘碱性蛋白基因 (Mbp) mRNA 水平密切相关。利用这些指标,我们首次得出了小鼠 MWF 与 Mbp mRNA 之间的敏感校准值。轴突密度的最小变化支持了我们的假设,即观察到的 MWF 变化源于髓鞘化不足。总之,我们的工作有力地强调了非侵入性、MRI 导出的 MWF 和 g 比率建模在临床前模型验证和最终转化为人体方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ultra-high-resolution mapping of myelin and g-ratio in a panel of Mbp enhancer-edited mouse strains using microstructural MRI.
Non-invasive myelin water fraction (MWF) and g-ratio mapping using microstructural MRI have the potential to offer critical insights into brain microstructure and our overall understanding of neuroplasticity and neuroinflammation. By leveraging a unique panel of variably hypomyelinating mouse strains, we validated a high-resolution, model-free image reconstruction method for whole-brain MWF mapping. Further, by employing a bipolar gradient echo MRI sequence, we achieved high spatial resolution and robust mapping of MWF and g-ratio across the whole mouse brain. Our regional white matter-tract specific analyses demonstrated a graded decrease in MWF in white matter tracts which correlated strongly with myelin basic protein gene (Mbp) mRNA levels. Using these measures, we derived the first sensitive calibrations between MWF and Mbp mRNA in the mouse. Minimal changes in axonal density supported our hypothesis that observed MWF alterations stem from hypomyelination. Overall, our work strongly emphasizes the potential of non-invasive, MRI-derived MWF and g-ratio modeling for both preclinical model validation and ultimately translation to humans.
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来源期刊
NeuroImage
NeuroImage 医学-核医学
CiteScore
11.30
自引率
10.50%
发文量
809
审稿时长
63 days
期刊介绍: NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.
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