PSYCH OpenIR  > 中国科学院行为科学重点实验室
Network Centrality in the Human Functional Connectome
Zuo, Xi-Nian1,2; Ehmke, Ross3; Mennes, Maarten2; Imperati, Davide2; Castellanos, F. Xavier2,4; Sporns, Olaf3; Milham, Michael P.4,5; Zuo, XN (reprint author), Chinese Acad Sci, Inst Psychol, Lab Funct Connectome & Dev, Key Lab Behav Sci, 4A Datun Rd, Beijing 100101, Peoples R China.
心理所单位排序1
摘要The network architecture of functional connectivity within the human brain connectome is poorly understood at the voxel level. Here, using resting state functional magnetic resonance imaging data from 1003 healthy adults, we investigate a broad array of network centrality measures to provide novel insights into connectivity within the whole-brain functional network (i.e., the functional connectome). We first assemble and visualize the voxel-wise (4 mm) functional connectome as a functional network. We then demonstrate that each centrality measure captures different aspects of connectivity, highlighting the importance of considering both global and local connectivity properties of the functional connectome. Beyond "detecting functional hubs," we treat centrality as measures of functional connectivity within the brain connectome and demonstrate their reliability and phenotypic correlates (i.e., age and sex). Specifically, our analyses reveal age-related decreases in degree centrality, but not eigenvector centrality, within precuneus and posterior cingulate regions. This implies that while local or (direct) connectivity decreases with age, connections with hub-like regions within the brain remain stable with age at a global level. In sum, these findings demonstrate the nonredundancy of various centrality measures and raise questions regarding their underlying physiological mechanisms that may be relevant to the study of neurodegenerative and psychiatric disorders.
关键词functional connectome network centrality resting-state fMRI test-retest reliability whole-brain connectivity
学科领域Cognitive Neuroscience,Medical Psychology
2012-08-01
语种英语
发表期刊CEREBRAL CORTEX
ISSN1047-3211
卷号22期号:8页码:1862-1875
期刊论文类型Article
URL查看原文
收录类别SCI
项目简介Dr X.-N.Z. acknowledges support from Startup Foundation for Distinguished Research Professor of Institute for Psychology (Y0CX492S03), the Natural Science Foundation of China (81171409), and Dr O.S. acknowledges support from the J.S. McDonnell Foundation.
WOS记录号WOS:000307486100013
资助机构Startup Foundation for Distinguished Research Professor of Institute for Psychology [Y0CX492S03] ; Natural Science Foundation of China [81171409] ; J.S. McDonnell Foundation
引用统计
被引频次:911[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/12868
专题中国科学院行为科学重点实验室
通讯作者Zuo, XN (reprint author), Chinese Acad Sci, Inst Psychol, Lab Funct Connectome & Dev, Key Lab Behav Sci, 4A Datun Rd, Beijing 100101, Peoples R China.
作者单位1.Chinese Acad Sci, Inst Psychol, Lab Funct Connectome & Dev, Key Lab Behav Sci, Beijing 100101, Peoples R China
2.NYU, Langone Med Ctr, Phyllis Green & Randolph Cowen Inst Pediat Neuros, New York, NY 10016 USA
3.Indiana Univ, Dept Psychol & Brain Sci, Bloomington, IN 47405 USA
4.Nathan S Kline Inst Psychiat Res, Orangeburg, NY 10962 USA
5.Child Mind Inst, Ctr Developing Brain, New York, NY 10022 USA
第一作者单位认知与发展心理学研究室
推荐引用方式
GB/T 7714
Zuo, Xi-Nian,Ehmke, Ross,Mennes, Maarten,et al. Network Centrality in the Human Functional Connectome[J]. CEREBRAL CORTEX,2012,22(8):1862-1875.
APA Zuo, Xi-Nian.,Ehmke, Ross.,Mennes, Maarten.,Imperati, Davide.,Castellanos, F. Xavier.,...&Zuo, XN .(2012).Network Centrality in the Human Functional Connectome.CEREBRAL CORTEX,22(8),1862-1875.
MLA Zuo, Xi-Nian,et al."Network Centrality in the Human Functional Connectome".CEREBRAL CORTEX 22.8(2012):1862-1875.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
WOS_000307486100013.(1786KB)期刊论文出版稿限制开放CC BY-NC-SA请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zuo, Xi-Nian]的文章
[Ehmke, Ross]的文章
[Mennes, Maarten]的文章
百度学术
百度学术中相似的文章
[Zuo, Xi-Nian]的文章
[Ehmke, Ross]的文章
[Mennes, Maarten]的文章
必应学术
必应学术中相似的文章
[Zuo, Xi-Nian]的文章
[Ehmke, Ross]的文章
[Mennes, Maarten]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。