基于医学影像数据的大脑功能连接方法研究
The Study of Brain Functional Connectivity Based on Medical Image Data
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摘要: 本文采用不同的方法对比研究了精神病患者与正常人大脑功能连接网络中的显著差异. 首先选用皮尔逊相关系数, 偏相关系数, 小波相关系数构造三种不同的大脑功能连接网络, 其次运用风险差检验出具有显著差异的功能连接, 最后进行比较和分析. 结果表明: 用不同方法得到的大脑功能连接网络中存在公共的异常连接. 在三种相关网络中本文均检验出病人的楔前叶与后扣带回这条连接较正常人而言功能减弱. 更值得注意的是, 一些公共异常连接的风险差值符号相反, 即病人大脑功能连接网络中该功能连接较正常人而言既增强又减弱, 表明在构造统计量寻找大脑功能异常连接时需作统计检验才能使结果更具说服力.Abstract: This paper studies significant differences in functional connectivity between schizophrenia patients and healthy controls by different methods. Firstly, three different brain functional networks are constructed by Pearson correlation coefficient, partial correlation coefficient and wavelet correlation coefficient, and then the paper uses risk difference to find out those significant differences. Finally, a comparative analysis is made. The result shows that common and abnormal connectivity exists in different networks where functional connectivity between the precuneus and posterior cingulate cortex weakens significantly among schizophrenia patients compared with controls. And more notably, the sign of some statistic appears in some significant functional connectivity is completely contrary. That is to say, as opposed to controls this functional connectivity in patients is both strengthened and weakened simultaneously. It shows that statistical test makes the results more persuasive as searching for abnormal functional connectivity in brain networks in terms of statistics.