早期阿尔茨海默病胼胝体与海马的时空特征研究

项目名称： 早期阿尔茨海默病胼胝体与海马的时空特征研究

项目编号： No.81500924

项目类型： 青年科学基金项目

立项/批准年度： 2016

项目学科： 医药、卫生

项目作者： 朱敏伟

作者单位： 哈尔滨医科大学

项目金额： 17.5万元

中文摘要： 阿尔茨海默病（Alzheimer's Disease，AD）属于老年人最常见的神经系统退行性致死性疾病。目前尚无有效治疗方法，早期诊断AD能给治疗带来新的希望。基于结构MRI的研究发现AD患者中不仅存在着海马萎缩现象，而且AD病程中胼胝体也发生了萎缩，但仅靠目前指标不足以早期预测及诊断AD。课题组前期研究发现早期AD胼胝体随痴呆程度的加重呈现从前向后的进行性萎缩，且萎缩速率能反映认知功能的下降程度，在此基础上本课题拟深入研究早期AD胼胝体及海马时空特征变化，主要包含以下三内容：①胼胝体自动分割方法研究，实现基于DTI定义胼胝体亚区的自动准确划分；②个体间胼胝体中心线对应特征点定位方法研究，实现个体间胼胝体形态变化的比较；③基于胼胝体及海马的时空特征的早期AD疾病风险预测建模。通过本课题研究，为将来以胼胝体及海马的时空特征作为新的生物标志物诊断早期AD、监测疾病进展及判断预后提供理论依据。

中文关键词： 阿尔茨海默病；核磁共振成像；胼胝体；海马；时空特征

英文摘要： Alzheimer's disease (AD) is the most common neurodegenerative and deadly disease　in the eldly. There is no cure for the disease, early diagnosis may contribute to　the treatment. Most present studies not only indicate that hippocampus atrophy can be found in AD patients, but also callosal atrophy is involved in AD, however, this index is not enough to early predict and diagnose AD. Our previous work found that the atrophy of the corpus callosum appears an atrophic progress from anterior to posterior in early AD, and the rate of callosal atrophy can reflect the cognitive decline. In this project,the spatiotemporal feature of corpus callosum and hippocampus in early AD will be further explored. The project consists of three parts: ①Research on the method of automatic and accurate segmentation of corpus callosum and callosal partition into subregions according to DTI definition. ②Research on the method of localization of corresponding points on the interindividual callosal midline to perform the comparison of interindividual morphological characteristics of corpus callosum. ③Research on the risk prediction modeling with respect to the spatiotemporal feature of corpus callosum and hippocampus. Our work will provide the theoretical basis for a new biomarker of early AD using the spatiotemporal feature of corpus callosum and hippocampus to diagnose early AD, monitor the disease progressing and make a prognosis.

英文关键词： Alzheimer's disease;Magnetic resonance imaging;Corpus callosum;Hippocampus;Spatiotemporal feature