| 正常老年人大脑功能网络的小世界性 |
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| 引用本文： | 赵小虎,王湘彬,王培军,何俊民,席芊,江虹.正常老年人大脑功能网络的小世界性[J].中国医学影像技术,2011,27(10):2118-2121. |
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| 作者姓名： | 赵小虎 王湘彬 王培军 何俊民 席芊 江虹 |
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| 作者单位： | 1. 同济大学附属同济医院医学影像科,上海,200065
2. 同济大学生命科学与技术学院,上海,200092 |
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| 基金项目： | 国家自然科学基金(30770615、30970818、91071201)、上海市科委重点项目(07JC14054)、国家高技术研究发展计划(863计划)项目(2008AA02Z302)。 |
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| 摘 要： | 目的 利用静息态BOLD-fMRI探讨正常老年人脑功能网络是否具有小世界性。方法 20名健康老年志愿者纳入研究。采集静息态BOLD-fMRI数据。应用SPM 5软件进行数据预处理,利用解剖学自动标记模板将大脑分成90个区域,提取每个区域内所有体素的时间序列平均值,计算每2个区域之间的Pearson相关系数,构建N×N(N=90)的相关性矩阵R,并对矩阵进行Fisher r to z变换。采用直接定义阈值T和设定矩阵稀疏度两种方法确定阈值,根据小世界性的定义:当γ=Cp/Crand>1,且λ=Lp/Lrand≈1时(C为平均聚类系数,L为平均路径长度,p表示规则网络,rand表示随机网络),认为该网络具有小世界性。结果 在直接定义阈值T条件下,γ值为1.3157±0.3572(1.0005~2.1882),λ值为1.0149±0.0226(1.0000~1.0796);在设定矩阵稀疏度条件下,γ值为1.3299±0.2330(1.0759~1.9574),λ值为1.0152±0.0190(1.0001~1.0679)。两种方法均表明该网络具有小世界性。结论 正常老年人脑功能网络具有小世界性。
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| 关 键 词： | 磁共振成像 大脑功能网络 小世界网络 老年人 |
| 收稿时间： | 2011/3/19 0:00:00 |
| 修稿时间： | 7/1/2011 12:00:00 AM |
Small world network in brain of healthy elderly people |
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| ZHAO Xiao-hu,WANG Xiang-bin,WANG Pei-jun,HE Jun-min,XI Qian and JIANG Hong.Small world network in brain of healthy elderly people[J].Chinese Journal of Medical Imaging Technology,2011,27(10):2118-2121. |
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| Authors: | ZHAO Xiao-hu WANG Xiang-bin WANG Pei-jun HE Jun-min XI Qian and JIANG Hong |
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| Institution: | Department of Medical Imaging, Tongji Hospital of Tongji University, Shanghai 200065, China;Department of Medical Imaging, Tongji Hospital of Tongji University, Shanghai 200065, China;Department of Medical Imaging, Tongji Hospital of Tongji University, Shanghai 200065, China;School of Life Sciences and Technology, Tongji University, Shanghai 200092, China;Department of Medical Imaging, Tongji Hospital of Tongji University, Shanghai 200065, China;Department of Medical Imaging, Tongji Hospital of Tongji University, Shanghai 200065, China |
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| Abstract: | Objective To explore whether the functional network in brain of healthy elderly people possess small-world property using resting-state BOLD-fMRI.Methods A total of 20 healthy volunteers were enrolled in this study.Resting-state BOLD-fMRI data were collected and preprocessed with SPM 5 software.The whole brain were divided into 90 regions using anatomical automatic labeling template.The average time course of each region was extracted.The Pearson correlation coefficient of every pair regions was calculated,... |
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| Keywords: | Magnetic resonance imaging Functional brain network Small-world network Aged |
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