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阿尔茨海默病静息态默认模式网络研究

         

摘要

目的:定位和研究阿尔茨海默病( AD)患者与健康人静息态默认网络的差异,为临床早期诊断阿尔茨海默病提供影像学依据。方法分别对18例临床诊断为AD的患者和一般情况(年龄、性别、受教育程度)匹配的健康志愿者进行磁共振扫描及静息态磁共振扫描,使用独立成分分析方法进行图像后处理,并采用最佳匹配法提取静息态网络。结果 AD患者的静息态默认网络主要包括内侧前额叶皮质、后扣带回、左侧顶叶皮质。正常人的默认网络包括内侧前额叶皮质、后扣带回、楔前叶、双侧顶叶皮质。 AD患者比正常人默认网络中显著增强的部分为内侧前额叶皮质、后扣带回以及腹侧前扣带回的前部。结论 AD患者与正常人的静息态默认网络存在差异,为AD的早期诊断提供了一种影像学方法。%Objective To location and evaluate the difference of Default Network( DMN) between Alzheimer disease (AD) and control group using restingstate functional MRI(rs-fMRI),and to diagnose AD in early stage based on these image fingings. Method Eighteen elderly Chinese patients with AD and 18 matched normal controls were stud-ied using MRI and resting state functional MRI. The raw diffusion data was dealed with the independent component analysis( ICA) ,then using the ‘best-fit’ method to extract default network. Result The default network in Patients with Alzheimer’ s Disease include medial prefrontal cortex,posterior cingulate cortex,left parietal lobe cortex. the de-fault network in healthy people include medial prefrontal cortex,posterior cingulate cortex,bilateral parietal lobe cor-tex. Significantly enhance of default network in the regions of medial prefrontal cortex,posterior cingulate cortex,an-terior cingulate cortex were found in AD patients. Conclusion This study show that patients with AD and normal rest-ing state default network different. These findings may provide image methods to early diagnose patients with AD.

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