Detecting spatiotemporal nonlinear dynamics in resting state of human brain based on fMRI datasets
Xie, Xiaoping1; Cao, Zhitong1; Weng, Xuchu2; X. P. Xie
摘要In this work, a nonlinear dynamics method, coupled map lattices, was applied to functional magnetic resonance imaging (fMRI) datasets to examine the spatiotemporal properties of resting state blood oxygen level-dependent (BOLD) fluctuations. Spatiotemporal Lyapunov Exponent (SPLE) was calculated to study the deterministic nonlinearity in resting state human brain of nine subjects based on fMRI datasets. The results show that there is nonlinearity and determinism in resting state human brain. Furthermore, the results demonstrate that there is a spatiotemporal chaos phenomenon in resting state brain, and suggest that fluctuations of fMRI data in resting state brain cannot be fully attributed to nuclear magnetic resonance noise. At the same time, the spatiotemporal chaos phenomenon suggests that the correlation between voxels varies with time and there is a dynamic functional connection or network in resting state human brain.; In this work, a nonlinear dynamics method, coupled map lattices, was applied to functional magnetic resonance imaging (fMRI) datasets to examine the spatiotemporal properties of resting state blood oxygen level-dependent (BOLD) fluctuations. Spatiotemporal Lyapunov Exponent (SPLE) was calculated to study the deterministic nonlinearity in resting state human brain of nine subjects based on fMRI datasets. The results show that there is nonlinearity and determinism in resting state human brain. Furthermore, the results demonstrate that there is a spatiotemporal chaos phenomenon in resting state brain, and suggest that fluctuations of fMRI data in resting state brain cannot be fully attributed to nuclear magnetic resonance noise. At the same time, the spatiotemporal chaos phenomenon suggests that the correlation between voxels varies with time and there is a dynamic functional connection or network in resting state human brain. (C) 2008 Elsevier Inc. All rights reserved.
关键词Spatiotemporal chaos fMRI Resting state Spatiotemporal Lyapunov Exponent Nonlinear dynamics
学科领域生理心理学/生物心理学
2008-11-01
语种英语
发表期刊APPLIED MATHEMATICS AND COMPUTATION
ISSN0096-3003
卷号205期号:1页码:19-25
期刊论文类型Article
收录类别SCI ; ISTP
WOS记录号WOS:000260585900003
引用统计
被引频次:5[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/311026/5307
专题中国科学院心理研究所回溯数据库(1956-2010)
通讯作者X. P. Xie
作者单位1.Zhejiang Univ, Dept Phys, Hangzhou 310027, Zhejiang, Peoples R China
2.Chinese Acad Sci, Inst Psychol, Lab Higher Brain Funct, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Xie, Xiaoping,Cao, Zhitong,Weng, Xuchu,et al. Detecting spatiotemporal nonlinear dynamics in resting state of human brain based on fMRI datasets[J]. APPLIED MATHEMATICS AND COMPUTATION,2008,205(1):19-25.
APA Xie, Xiaoping,Cao, Zhitong,Weng, Xuchu,&X. P. Xie.(2008).Detecting spatiotemporal nonlinear dynamics in resting state of human brain based on fMRI datasets.APPLIED MATHEMATICS AND COMPUTATION,205(1),19-25.
MLA Xie, Xiaoping,et al."Detecting spatiotemporal nonlinear dynamics in resting state of human brain based on fMRI datasets".APPLIED MATHEMATICS AND COMPUTATION 205.1(2008):19-25.
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
Xie-2008-Detecting s(207KB) 开放获取--浏览 下载
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
[Xie, Xiaoping]的文章
[Cao, Zhitong]的文章
[Weng, Xuchu]的文章
百度学术
百度学术中相似的文章
[Xie, Xiaoping]的文章
[Cao, Zhitong]的文章
[Weng, Xuchu]的文章
必应学术
必应学术中相似的文章
[Xie, Xiaoping]的文章
[Cao, Zhitong]的文章
[Weng, Xuchu]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Xie-2008-Detecting spatiotemp.pdf
格式: Adobe PDF
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。