抑郁症识别正性情绪的脑磁源性影像动态变化

The dynamic characteristics of the magnetic source imaging of recognizing expression in major depressive disorder

目的利用磁源性影像（Magnetic source imaging，MSI）技术观察抑郁症患者识别正性动态情绪的神经网络动态变化的特点。方法利用脑磁图检测12例抑郁症患者及12名年龄、性别、受教育年限近似匹配的健康对照者识别正性动态情绪视频时的脑部反应。结果与正常对照组相比，抑郁症组识别正性面部情绪时，活动减弱的脑区依次主要为右顶下小叶（t=3．94）、右缘上回（t=3．59）、双侧后扣带回（t=5．04，t=4．85）、左楔前叶（t=3．84）、左颞上回（t=3．58）等；活动增强的脑区依次主要为双侧海马回（t=2．13，t=2．56）、左侧杏仁核（t=2．41）、双侧钩回（t=2．33，t=2．44）、右前扣带回（t=2．15）、左梭状回（t=3．33）等。这些脑区在不同时间段有相应脑区激活异常。设P〈0．05时，均差异具有显著性。结论抑郁症患者的颞内侧皮质、顶叶功能减弱及边缘系统等功能增强与正性情绪识别功能减弱有关，其脑磁源性影像变化特征较正常人有很显著的差异。

Objective To explore the features of functional networks about recognizing dynamically positive expression with using magnetoencephalography （MEG） technology and the paradigm of expressional experi- ment, and further to examine its neurological basis. Methods Twelve depressed patients and twelve age, educa- tion-matched healthy controls participated to recognize the dynamically positive expression in the MEG scans. Resuits In comparison with the healthy, the abnormally activities regions in depressed patients during different time periods were separately as follow：decreased activation in the right inferior parietal lobule（ t = 3.94 ） ,the right supramarginal gyrus （ t = 3.59 ）, the bilateral posterior cingulated （ t = 5.04, t = 4.85 ）, the bilateral precuneus （ t = 3.84） ,the left cuneus（t=3.58） and increased activation in the bilateral hippocampus（ t=2.13, t=2.56）,the left amygdale （ t = 2.41 ）, the bilateral uncus gyrus （ t = 2.33, t = 2.44 ）, the right anterior cingulated （ t = 2.15 ）, the left fusiform gyrus （ t = 3.33 ） （P 〈 0.05, uncorrected ）. Conclusion The results indicate, compared with healthy controls, abnormal brain activities as the weakened function of the medial temporal cortex, parietal lobe and the enhanced function of limbic system were distributed extensively in depressed patients during recognizing dynautically positive expression. These abnormalities may prompt the dynamic characteristics of the magnetic source imaging about recognizing dynamically positive expression, and further reveals the mechanisms of emotional symptoms in depression.