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精神分裂症患者脑白质结构网络节点中心度 异常的研究
李光耀
0
()
摘要:
目的 探讨精神分裂症患者脑白质结构网络节点中心度的异常及其与临床症状之间的关 系。方法 纳入49 例精神分裂症患者(病例组)为研究对象,36 名性别、年龄和受教育程度相匹配的健 康人群作为对照组。采用阳性和阴性症状评定量表评估患者的临床症状;采用Gretna 分析软件计算所 有被试者的节点中心度值;采用偏相关分析方法探讨精神分裂症患者节点中心度值与临床症状之间的 关系。 结果 与对照组比较,病例组脑白质结构网络的节点中心度存在异常,在右侧脑岛、楔前叶、 颞上回、左侧前扣带回、中央前回、眶额回、海马旁回以及顶上回显著降低(P< 0.005,FDR 校正);左侧 前扣带回的节点中心度值与阴性症状因子分呈负相关(r=-0.622, P < 0.001)。结论 精神分裂症患者 脑白质结构网络较健康对照存在多个脑区的节点中心度异常,该异常可能与精神分裂症的病理生理机 制有关。
关键词:  精神分裂症  脑白质  结构网络  节点中心度
DOI:10.3969/j.issn.1009-6574.2019.06.002
基金项目:南京军区医学科技创新课题项目(12MA002)
Abnormal node centrality of white matter networks in patients with schizophrenia
Li Guangyao
()
Abstract:
Objective To investigate the abnormality of the node centrality of the white matter network in patients with schizophrenia and its relationship with clinical symptoms. Methods A total of 49 patients with schizophrenia were enrolled in the study. A total of 36 healthy people with matched gender, age and education were selected as the control group. The Positive and Negative Symptom Scales were used to evaluate the clinical symptoms of the patients; the GRETNA software was used to calculate the node centrality values of all subjects; the partial correlation analysis method was used to explore the relationship between the centrality values and clinical symptoms in patients with schizophrenia. Results Compared with the control group, the node centrality of the cerebral white matter networks was abnormal. The degree of centrality in the experimental group was significantly lower in the right insula, precuneus, superior temporal gyrus, left anterior cingulate gyrus, central anterior gyrus, orbital frontal gyrus, parahippocampal gyrus and superior parietal gyrus[ P< 0.005, false discovery rate( FDR) correction]; the degree of centrality of the left anterior cingulate gyrus was negatively correlated with the negative symptom factors( r=-0.622,P< 0.001). Conclusions The cerebral white matter network of schizophrenia patients has abnormal degree of centrality in multiple brain regions compared with the health control, and such abnormality may be related to the pathophysiological mechanism of schizophrenia.
Key words:  Schizophrenia  White matter  Structure network  Node centrality degree

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