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静息状态下强迫症突显网络内部异常的功能连接

Abnormal internal function connectivity of salience network in obsessive-compulsive disorder at resting-state
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摘要 目的 探讨静息状态下未经治疗的强迫症患者突显网络内部功能连接特点及与临床症状之间的关系。方法 对20 例未经治疗的强迫症患者和20 名性别、年龄和受教育程度相匹配的健康被试进行静息态的MRI 扫描,利用DPABI 分析软件,采用基于种子点的功能连接方法分析强迫症患者静息态突显网络的特点;采用偏相关分析方法探讨强迫症突显网络与临床症状之间的关系。结果 与健康对照相比,强迫症患者突显网络内部左侧眶额回的功能连接减弱[(0.08±0.09)比(0.27±0.07);t=-7.80, P< 0.001,高斯随机场理论矫正]。结论 静息状态下强迫症患者突显网络内部存在异常的功能连接。 Objective To explore the characteristic of internal function connectivity in salience network and its relationship with clinical symptoms in untreated obsessive-compulsive disorder( OCD) patients at resting-state. Methods A total of 20 untreated OCD patients and 20 age-, sex- and education-matched healthy subjects participated in the resting state brain functional magnetic resonance imaging scan. Based on the Data Processing & Analysis for( Resting-State) Brain Imaging( DPABI) software, functional connectivity based on seed was used to explore the pattern of salience network at resting-state in OCD. Partial correlation analysis was used to analyze the relationship between the salience network and clinical symptoms in OCD. Results Compared with the healthy controls, the OCD patients showed decreased internal function connectivity in salience network in left orbitofrontal cortex[ (0.08±0.09) vs( 0.27±0.07);t=-7.80,P〈0.001, Gaussian random field corrected, two-tailed]. Conclusions There is an abnormal function connection of salience network internal in OCD at resting-state.
作者 吕丹 李平 王立红 陈云辉 王玉花 赵阿勐 李成冲 闫凤武 宋运娜 王文林 张亮堂 L yu D;Li P;Wang LH;Chen YH;Wang YH;Zhao AM;Li CC;Yah FW;Wang WL;Zhang LT;Song YN(Institute of Mental Health, School of Psychiatry, Qiqihar Medical University, Qiqihar 161006, China;School of Basic Medicine, Qiqihar Medical University, Qiqihar 161006, Chin)
出处 《神经疾病与精神卫生》 2018年第2期94-97,F0003,共5页 Journal of Neuroscience and Mental Health
基金 黑龙江省自然科学基金面上项目(H2016100)
关键词 强迫症 功能磁共振成像 静息态 突显网络 Obsessive-compulsive disorder Functional magnetic resonance imaging Restingstate Salience network
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