基于偏定向相干性(PDC)的脑卒中后抑郁症患者脑网络研究

doi:10.3969/j.issn.0258-8021. 2015. 04.001

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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 nondepression (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 onetailed single sample t test. Some parameters based on topology graph theory were compared among the three populations. According to the statistical test (P<005), apparent difference was performed among the three groups in the brain network parameters of degree, average cluster coefficient and betweenness centrality when PDC=02. 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 24% and 18% respectively, indicating declined collectivization degree of brain network. The number of “core nodes” in PSD patients increased 22 times and 16 times respectively, showing transferred core nodes and lower core status. Affected by stroke and depressed mood, PSD patients performed abnormal brain networks.

Key words： poststroke depression (PSD) EEG partial directed coherence (PDC) brain network

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	Wang Chunfang¹Sun Changcheng¹Zhang Xi²Wang Yongjun¹Qi Hongzhi^{2 &}

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Wang Chunfang¹Sun Changcheng¹Zhang Xi²Wang Yongjun¹Qi Hongzhi^{2 &. The Brain Network Research of Poststroke Depression Based on Partial Directed Coherence (PDC)[J]. journal1, 2015, 34(4): 385-391.}

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http://cjbme.csbme.org/EN/10.3969/j.issn.0258-8021. 2015. 04.001 OR http://cjbme.csbme.org/EN/Y2015/V34/I4/385

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