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中文摘要：
为辅助轻度认知障碍（MCI）的诊断提供新的方法，构建了早期轻度认知障碍、晚期轻度认知障碍及正常对照的静息态脑功能网络。基于复杂网络理论计算了脑功能网络的节点属性并进行了组间差异分析，将具有显著差异的属性值作为分类特征，使用支持向量机算法对所有被试进行了分类研究。实验结果表明，该方法可以用于MCI的辅助诊断，具有一定的应用价值。
英文摘要：
To assist the diagnosis of mild cognitive impairment （MCI） and provide a new diagnostic method, resting state brain functional networks of early mild cognitive impairment, late mild cognitive impairment and normal controls are constructed, nod- al attributes of brain functional networks based on complex network are calculated and differences between groups are analyzed which served as the classification features. Then, the subjects are classified using support vector machine algorithm. The experi- mental result shows that this method is used for diagnosis of MCI and has a certain application value.
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