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The Brain Network Research of Poststroke Depression Based on Partial Directed Coherence (PDC) |
1 Rehabilitation Medical Department, Tianjin Union Medical Center, Rehabilitation Medical Research Center of Tianjin, Tianjin 300121, China
2 Department of Biomedical Engineering, College of Precision Instrument and OptoElectronics Engineering, Tianjin University, Tianjin 300072, China |
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Abstract The aim of our study is to investigate the abnormal brain network of poststroke depression (PSD) patients. Sixteen channels of resting state EEG of respectively 10 cases of PSD patients and control groups (poststroke nondepression (PSND) and healthy controls (CONT)) were collected for partial directed coherence (PDC) analysis. The average brain network diagrams for the three populations were built according to the onetailed single sample t test. Some parameters based on topology graph theory were compared among the three populations. According to the statistical test (P<005), apparent difference was performed among the three groups in the brain network parameters of degree, average cluster coefficient and betweenness centrality when PDC=02. Compared with healthy subjects, stroke patients showed decreased information inflow to the dominant hemisphere (left). PSD patients performed weaker outflow information than PSND subjects in “emotional” related regions such as left frontal lobe and left temporal lobe. Comparatively to CONT and PSND populations, the cluster coefficient of PSD patients decreased by 24% and 18% respectively, indicating declined collectivization degree of brain network. The number of “core nodes” in PSD patients increased 22 times and 16 times respectively, showing transferred core nodes and lower core status. Affected by stroke and depressed mood, PSD patients performed abnormal brain networks.
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