基于脑网络组的阿尔茨海默病早期脑功能代偿机制的研究

项目名称： 基于脑网络组的阿尔茨海默病早期脑功能代偿机制的研究

项目编号： No.81471120

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 医药、卫生

项目作者： 张熙

作者单位： 中国人民解放军总医院

项目金额： 70万元

中文摘要： 基于前期完成的自然科学基金项目研究结果及对于近10年国内外文献复习，我们发现遗忘型轻度认知功能障碍（aMCI）和早期阿尔茨海默病（AD）患者的脑功能在出现连接降低的同时会出现部分脑区的功能代偿。但以往的研究均关注对功能缺失机制的研究，尚无真正意义上针对功能代偿机制及其对早期AD认知康复的意义。在本项目中，我们重点研究aMCI和AD早期具有代偿功能的核心脑区及其机制。基于早期AD的多模态磁共振数据，利用脑连接和脑网络的研究方法，通过横向和纵向数据神经网络分析技术，明确aMCI和早期AD的脑功能代偿网络的连接模式及动态变化特征，明确患者脑代偿网络的连接模式与认知功能评价指标的关系。这将为aMCI和早期AD患者的认知康复干预、缓解疾病进程提供理论依据。

中文关键词： 阿尔茨海默病；遗忘型轻度认知功能障碍；认知功能代偿；神经环路；脑网络

英文摘要： During the study of the latest funding of NSFC, and also based on the deep learning of the recent literatures, we realized that accompanied the dysfunction, there are some regions will have compensatory increased activity/connectivity with the brain in patients with the mild cognitive impairment (MCI) and early Alzheimer's disease (AD). However, almost all the previous studies have focused on the study of the dysfunction or disconnection, none of them has studied the relationship between reduce cognitive function and compensatory alteration in MCI/AD. In this project, we plan to clarify the core brain regions which has the compensatory function in MCI/AD based on previous published literatures. Then we will investigate the connectivity pattern of the identified core regions based on the ADNI dataset, our previous dataset and some new collected MCI/AD data. By this way, we can evaluated the alteration and dynamic properties of the brain compensatory networks in MCI and AD, also we can investigate the relationship between the brain compensatory networks and cognitive function (such as MMSE, memory capacity, implementation capacity, etc.). This will certainly help us to understand the role of compensatory function during the cognitive changes in MCI and early AD. This will also help us evaluate the early intervention to ease the development and progression of the disease in MCI and early AD patients.

英文关键词： Alzheimer's disease;Amnestic Mild Cognitive Impairment;Cognitive Compensatory;Neural Circuit;Brain Network