基于多尺度排列熵的精神分裂症MEG信号分析

通过应用多尺度排列熵分析方法对精神分裂症患者和健康正常人的静息态脑磁图(MEG)信号进行信号的复杂性定量分析与对比,发现:在两组样本的多尺度排列熵均值比较中,精神分裂症患者93.82%通道上的多尺度排列熵值高于正常对照组;精神分裂症患者的MEG信号的多尺度排列熵在19个通道上存在显著性差异(P<0.05,FDR校正),这些差异通道集中分布在脑区上的颞叶和额叶等部位。这个发现与既往的MRI和EEG等神经影像学对精神分裂症的研究结果相一致。这些特征提示MEG信号的复杂性测度或许可以为精神分裂症患者的诊断及判别提供新的辅助参考依据,有助于了解及分析精神分裂症的症状表现及其病理机制,为精神分裂症的病理分析和临床诊断方法的研究提供新的研究思路与途径。

Magnetoencephalography Analysis of Schizophrenia Using Multiscale Permutation Entropy

Multiscale permutation entropy was utilized to analyze complexity measure of resting state MEG recordings from schizophrenic patients and healthy control subjects in this paper. By comparing and analyzing the mean value of multiscale permutation entropy between schizophrenia and control subjects, we found that multiscale permutation entropy of the schizophrenia′s MEG in 93.82% channels was higher than that of the control subjects. In addition, the experimental result showed that multiscale permutation entropy of schizophrenics′ MEG recordings had significant differences in 19 channels (P<0.05, FDR correction). These channels were mainly distributed on the temporal and frontal, especially the edge region of temporal, which was consistent with the results of previous schizophrenia neuroimaging studies such as MRI and EEG. These features can be served to provide important reference for the further researches of schizophrenia pathological mechanism analysis and clinical diagnosis method.