Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences at the University at Buffalo, The State University of New York, 100 High Street, Buffalo, NY, 14202, USA.
Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences at the University at Buffalo, The State University of New York, 100 High Street, Buffalo, NY, 14202, USA; Center for Biomedical Imaging, Clinical and Translational Science Institute at the University at Buffalo, The State University of New York, 875 Ellicott Street, Buffalo, NY, 14202, USA.
Neuroimage. 2019 Feb 1;186:308-320. doi: 10.1016/j.neuroimage.2018.11.011. Epub 2018 Nov 14.
Most studies of brain iron relied on the effect of the iron on magnetic resonance (MR) relaxation properties, such as R, and bulk tissue magnetic susceptibility, as measured by quantitative susceptibility mapping (QSM). The present study exploited the dependence of R and magnetic susceptibility on physical interactions at different length-scales to retrieve information about the tissue microenvironment, rather than the iron concentration. We introduce a method for the simultaneous analysis of brain tissue magnetic susceptibility and R that aims to isolate those biophysical mechanisms of R -contrast that are associated with the micro- and mesoscopic distribution of iron, referred to as the Iron Microstructure Coefficient (IMC). The present study hypothesized that changes in the deep gray matter (DGM) magnetic microenvironment associated with aging and pathological mechanisms of multiple sclerosis (MS), such as changes of the distribution and chemical form of the iron, manifest in quantifiable contributions to the IMC. To validate this hypothesis, we analyzed the voxel-based association between R and magnetic susceptibility in different DGM regions of 26 patients with multiple sclerosis and 33 age- and sex-matched normal controls. Values of the IMC varied significantly between anatomical regions, were reduced in the dentate and increased in the caudate of patients compared to controls, and decreased with normal aging, most strongly in caudate, globus pallidus and putamen.
大多数关于大脑铁的研究都依赖于铁对磁共振(MR)弛豫特性的影响,例如 R 和通过定量磁化率映射(QSM)测量的体组织磁化率。本研究利用 R 和磁化率对不同长度尺度上物理相互作用的依赖性来获取有关组织微观环境的信息,而不是铁浓度的信息。我们引入了一种同时分析脑组织磁化率和 R 的方法,旨在分离与铁的微观和介观分布相关的 R 对比的生物物理机制,称为铁微观结构系数(IMC)。本研究假设与衰老和多发性硬化症(MS)的病理机制相关的深灰质(DGM)磁微环境变化,例如铁的分布和化学形式的变化,会对 IMC 产生可量化的贡献。为了验证这一假设,我们分析了 26 名多发性硬化症患者和 33 名年龄和性别匹配的正常对照者不同 DGM 区域中 R 和磁化率的基于体素的关联。IMC 值在解剖区域之间差异显著,与对照组相比,患者的齿状核和尾状核降低,而增加,与正常衰老相比,尾状核、苍白球和壳核的降低最为明显。