The dynamic characteristics of the magnetic source imaging of recognizing expression in major depressive disorder
10.3760/cma.j.issn.1674-6554.2010.05.013
- VernacularTitle:抑郁症识别正性情绪的脑磁源性影像动态变化
- Author:
Yinglin HAN
;
Zhijian YAO
;
Haiteng JIANG
;
Qing LU
;
Jing ZHANG
- Publication Type:Journal Article
- Keywords:
Depression;
Magnetoencephalography;
Positive emotion recognition
- From:
Chinese Journal of Behavioral Medicine and Brain Science
2010;19(5):425-428
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the features of functional networks about recognizing dynamically positive expression with using magnetoencephalography (MEG) technology and the paradigm of expressional experiment, and further to examine its neurological basis. Methods Twelve depressed patients and twelve age,education-matched healthy controls participated to recognize the dynamically positive expression in the MEG scans. Results 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 su-pramarginal gyms(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 gyms (t = 3. 33) (P < 0. 05, unconnected). 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 dynamically 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.
