Resting State Functional Magnetic Resonance Imaging Of Brain Network In Depressed Patients

Objective:Independent Component Analysis(ICA)was used to investigate the functional connectivity changes of the Default Mode Network(DMN),the Executive Control Network(ECN)and the Salience Network(SN)in patients with depression compared with healthy controls,and to explore whether the different brain regions of patients with depression were correlated with depression risk factors.And whether there were differences in brain regions between the sexes in depressed patients.Methods:A total of 31 patients with depression who first started or have stopped taking psychotropic drugs for more than 2 months were collected and evaluated.A group of 31 healthy controls matched with gender,age,and education.Collect general information and clinical psychological scales such as depression,anxiety,and family burden of the two groups.Collecting resting state functional magnetic resonance imaging(rs-fMRI)data from two groups of subjects,and using independent component analysis(ICA)to extract two sets of default mode networks,control execution networks,and Highlight the network and look for brain regions with functional differences between the two groups.Based on the literature,the Hamilton depression scale(HAMD-17)was used as anxiety/somatization factor,cognitive impairment factor,block factor,and sleep disorder factor.,Use Person correlation analysis method to analyze whether there are differences in brain areas related to these factors.Then use spm12 to analyze whether there are different brain regions in different genders of depression patients by multivariate analysis of variance.To explore the importance of functional connectivity differences among depression brains in the pathogenesis of depression,whether there is a correlation between depression in different brain regions and depression-related factors,and whether there are differences in gender differences in depression patients.Results:1.Statistical analysis of general demographic data and clinical psychological scale found that there was no statistical difference in gender,age,and years of education between the depressed patient group and the healthy control group.There was no statistical significance in HAMD-17(P<0.05).2.Independent component analysis found that,compared with the healthy control group,in the depression group,the left island cover lower frontal gyrus(AAL11)and the right central posterior gyrus(ALL58)in the default mode subnet and executive control network subnet.And the right cerebellum area 4 and 5(belonging to the upper cerebellum)(ALL98)can reduce the connection,the bilateral cerebellum area 9(belonging to the lower cerebellum)(ALL 105,106)functional connections increased.Both P<0.05),and the front and back prominence networks are identified by space,and their space coefficients with the fixed proton network template are low,so these two networks are not selected.Correlation analysis of brain function connection value and clinical scale found that the function connection value of the right cerebellum area 4 and 5 in the depression group was positively correlated with the total score of the HAMD scale(r=0.370,P=0.041).There were no significant correlations between the brain regions with different networks and anxiety/somatization factors,cognitive impairment factors,block factors,and sleep disturbance factors(P>0.05),and patients with depression were analyzed by multivariate analysis of variance after gender grouping(after GRF correction)There were no significant differences in brain regions.Conclusion:The results of this study indicate that the default mode network and executive control network may play an important role in the pathogenesis of depression patients,and the different brain regions further suggest that abnormal cerebellar dysfunction in depression patients is the brain of depression patients.The key brain regions of the network and the importance of the frontal-parietal-cerebellar circuit in the pathogenesis of depression.