INVEST OF MULTICOMPONENT DIFFUS IN CAT BRAIN USING A COMBINED MTC-DWI APPROACH

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 在这项研究中，使用一种结合使用多个b值的扩散加权图像和磁化传递对比度(MTC)的方法来研究猫脑中的多组分水扩散。MTC可以过滤来自水分子的信号，这些水分子与大分子结构上的结合部位快速交换，在脑白质中，MTC的很大一部分被认为是由于水与轴突外髓鞘的相互作用。此后，对有无MTC的扩散曲线的多成分分析可能有助于阐明轴突外水对扩散信号的贡献，以及扩散成分与脑内组织分区之间的关系。当数据应用双指数模型时，随着MTC的应用，白质中两种弥散成分的体积分数发生了显著变化。然后在组织成分的框架内讨论这些变化，以及可能与髓鞘的相互作用。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. In this study, multiple-component water diffusion in the cat brain is investigated using an approach that combines diffusion-weighted images using multiple b values with magnetization transfer contrast (MTC). The MTC allows filter of signal originating from water molecules that rapidly exchange with binding sites on large macromolecular structures, and in brain white matter, it is assumed that a significant portion of the MTC is due to the interaction of water with the extraaxonal myelin sheath. Henceforth, multicomponent analysis of diffusion curves with and without MTC may shed light on the contribution of the extraaxonal water to the diffusion signal and on the relationship between diffusion components and tissue compartments in the brain. When a biexponential model was applied to the data, the volume fractions of the two diffusion components changed significantly in white matter with the application of the MTC. These changes are then discussed in the frame of tissue components and the possible interaction with the myelin sheath.