Diffusion tensor imaging in familial Alzheimer's disease: Longitudinal and cross-sectional studies of early change

家族性阿尔茨海默病的弥散张量成像：早期变化的纵向和横断面研究

• 批准号: G0900421/1
• 负责人: Natalie Ryan
• 金额: $ 20.87万
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Fellowship
• 财政年份: 2010
• 资助国家: 英国
• 起止时间: 2010 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=G0900421%2F1
• 关键词: Diffusion; tensor; imaging; familial; Alzheimer

Diagnosis of Alzheimer‘s disease, the most common form of dementia, is difficult in its earlier stages. A number of different brain scanning techniques have recently been developed which may pick up very early changes in these individuals. One of these techniques is called diffusion imaging. This examines the microscopic structure of brain tissue, non-invasively. It also allows assessment of connections between parts of the brain - so called white matter tracts. Diffusion imaging therefore allows not just the assessment of how particular areas of brain may be degenerating, but also how the connections between areas are being affected. Familial Alzheimer‘s disease is a rare form of Alzheimer‘s where the disease is inherited at a young age. Individuals from families with known genetic mutations have generously agreed to take part in prospective longitudinal studies. We propose to study individuals who are well, but who are at known risk of developing Alzheimer‘s disease. This will allow us to acquire high resolution brain scans, including this new technique of diffusion imaging in conjunction with detailed clinical and psychological assessments. We will examine whether this technique detects early changes and how this matches with the onset and progression of clinical cognitive problems.

阿尔茨海默病是一种最常见的痴呆症，在早期阶段很难诊断。最近已经开发了许多不同的大脑扫描技术，这些技术可能会发现这些个体的早期变化。其中一种技术叫做扩散成像。这检查了脑组织的微观结构，非侵入性的。它还可以评估大脑各部分之间的联系，即所谓的白质束。因此，扩散成像不仅可以评估大脑的特定区域是如何退化的，还可以评估区域之间的连接是如何受到影响的。家族性阿尔茨海默病是一种罕见的阿尔茨海默病，这种疾病在年轻时遗传。来自已知基因突变家庭的个人慷慨地同意参加前瞻性纵向研究。我们建议研究那些身体健康但已知有患阿尔茨海默病风险的人。这将使我们能够获得高分辨率的脑部扫描，包括这种新的扩散成像技术，结合详细的临床和心理评估。我们将研究这项技术是否能检测到早期的变化，以及它如何与临床认知问题的发生和进展相匹配。