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作 者:朱绘霖 许洁 李江雪[3] 彭红军 何赛灵 ZHU Huilin;XU Jie;LI Jiangxue;PENG Hongjun;HE Sailing(Children Development & Behavioral Center,Third Affiliated Hospital of Sun Yat-Sen University,Guangzhou 510630,China;Centre for Optical and Electromagnetic Research,South China Academy of Advanced Optoelectronics,South China Nomlal University,Guangzhou 510006,China;The Research Center of Psychological Counseling,South China Normal University,Guangzhou 510631,China;The Department of Clinical Psychology,Guangzhou Brain Hospital,Guangzhou 510170,China)
机构地区:[1]中山大学附属第三医院儿童发育行为中心,广州510630 [2]华南师范大学华南先进光电子研究院,光及电磁波研究中心,广州510006 [3]华南师范大学心理咨询研究中心,广州510631 [4]广州脑科医院临床心理部,广州510170
出 处:《华南师范大学学报(自然科学版)》2018年第4期17-22,共6页Journal of South China Normal University(Natural Science Edition)
基 金:国家自然科学基金项目(81601533); 中国博士后科学基金项目(2015M580725,2016T90791); 广东省自然科学基金项目(2014A030310502)
摘 要:抑郁症患者通常表现出心境低落,并且伴随许多认知和生理症状.文中使用功能性近红外光谱成像技术(fNIRS)来测量28名抑郁症患者和30名对照组8 min前额皮层的自发血液动力活动.通过图论和拓扑分析对大脑前额皮层静息态网络属性进行分析,结果表明,抑郁症患者前额皮层网络表现出异常的模式:显著降低的网络密度(低的平均节点等级)、显著降低的聚集程度(低的聚类系数)、显著降低的网络信息传输效率(高的平均路径长度)以及显著增加的随机性(低的小世界属性).这些结果表明使用近红外光谱技术能够揭示抑郁症患者脑网络的异常特性.Patients with depression usually show depressive state,accompanied with cognitive and physical symptoms. Functional near-infrared spectroscopy(f NIRS) was utilized to investigate 8-minute spontaneous hemodynamic activity in the prefrontal cortex of 28 patients with depressive episode and 30 healthy controls. By adopting a graph-theoretical and topological analysis,the results indicated that patients with depressive state showed altered network patterns in the prefrontal cortex with significantly reduced density(lower average node degree),less cliquishness(lower average clustering coefficient),poor efficiency(higher average path length) and greater randomness(weaker small-world properties). These results support f NIRS measurement of the prefrontal cortex networks in the resting state as a feasible and effective way to assess the neural properties of psychiatric disorders.
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