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中文摘要
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描述(申请人提供):扩散张量成像(DTI)已被证明是研究与许多中枢神经系统(CNS)疾病相关的白质变化的重要工具[Sullivan和Pfefferbaum,2003;Salat等人,2005;Assaf和Pasternak,2008]。最近,一种名为弥散峰度成像(DKI)的新的扩散磁共振成像方法被开发出来[Jensen和Helpern,2003;Jensen等人,2005;Lu等人,2006]。DKI能够量化水扩散的非高斯行为。最近的DKI研究表明,平均峰度(MK)在检测与神经系统疾病相关的脑微结构变化方面提供了与传统DTI不同的有用和独特的信息。[Falangola等人,2008年;Helpern等人,2007年;Ramani等人,2007年]。然而,在这一点上,在少数发表的DKI动物研究中尚未进行组织学相关性[Falangola等人,2007,Cheung等人,2008a;Cheung等人,2008b],DKI指标的定量解释仍有待验证。这个项目的总体目标是验证和理解这些新的MRI扩散指数,主要是平均峰度、轴向(K//)和径向(K4)峰度的DKI测量,通过研究这些测量与脱髓鞘和再髓鞘形成模型--Cuprizone小鼠模型中轴突和髓鞘损伤之间的关系,在组织水平上反映出什么。这一目标将通过比较DK指标和传统DTI指标的指标与组织学标志物--脱髓鞘和再髓鞘形成过程中的髓鞘丢失、轴突损伤和神经胶质细胞积聚--来实现,这些指标发生在Cuprizones小鼠模型小鼠的胼胝体脱髓鞘和再髓鞘形成过程中:这项建议中解决的问题是,一种新的磁共振成像(MRI)扩散技术,称为弥散峰度成像(DKI),是否能够准确且适用于定量评估大脑微结构的变化。与任何新的磁共振技术一样,验证和理解所建议的MRI指数在组织水平上反映的内容,对于描述疾病的正常形态和潜在病理特征至关重要。对于这一验证,我们将使用脱髓鞘和重新髓鞘形成的铜必利酮小鼠模型。这个项目的意义在于试图验证和理解这些新的磁共振弥散指数在大脑形态水平上的反映。
英文摘要
DESCRIPTION (provided by applicant): Diffusion tensor imaging (DTI) has proven to be an important tool for investigating white matter changes associated with many central nervous system (CNS) diseases [Sullivan and Pfefferbaum, 2003; Salat et al., 2005; Assaf and Pasternak, 2008]. Recently, a new diffusion MRI imaging method called Diffusional Kurtosis Imaging (DKI) [Jensen and Helpern, 2003; Jensen et al., 2005; Lu et al., 2006] has been developed. DKI is capable of quantifying the non-Gaussian behavior of water diffusion. Recent DKI studies have demonstrated that mean kurtosis (MK) yields useful and distinct information from that provided by conventional DTI in detecting changes in brain microstructure associated with neurological diseases. [Falangola et al., 2008; Helpern et al., 2007; Ramani et al., 2007]. However, at this point in time, no histological correlation has been performed in the few published DKI animal studies [Falangola et al., 2007, Cheung et al., 2008a; Cheung et al., 2008b] and the quantitative interpretation of DKI metrics remains to be validated. The overall goal of this project is to validate and understand what these new MRI indices of diffusion, mainly the DKI measurements of Mean Kurtosis, axial (K//) and radial (K4) kurtosis, reflect at the tissue level by investigating the relationship between these measurements and axonal and myelin damage in a model of demyelination and remyelination, the cuprizone mouse model. This goal will be achieved by comparing indices of DK metrics and conventional DTI metrics with histological markers of myelin loss, axonal damage and glial cells accumulation during the process of demyelination and remyelination that occur in the corpus callosum of the cuprizone mouse model PUBLIC HEALTH RELEVANCE: The questions addressed in this proposal are whether a new Magnetic Resonance Imaging (MRI) diffusion technique, called Diffusional Kurtosis Imaging (DKI), can be accurate and suitable for quantitative evaluation of brain microstructure changes. As with any new MR technique, the validation and understanding of what the proposed MRI indices reflect at the tissue level is essential for characterizing the normal morphological aspects and the underlying pathology on a disease set. For this validation we will use the cuprizone mouse model of demyelination and remyelination. The significance of this project is to try to validate and understand what these new MRI indices of diffusion reflect at the brain morphological level.
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Diffusion and Functional MRI Monitoring of Therapy Response in Alzheimer’s Disease Mouse Model
Diffusional Kurtosis Assessment of the Cuprizone Mouse Model of Demylination
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