Detecting spatiotemporal nonlinear dynamics in resting state of human brain based on fMRI datasets
Xie, Xiaoping1; Cao, Zhitong1; Weng, Xuchu2; X. P. Xie
2008-11-01
发表期刊APPLIED MATHEMATICS AND COMPUTATION
ISSN0096-3003
文章类型Article
卷号205期号:1页码:19-25
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
收录类别SCI ; ISTP
语种英语
WOS记录号WOS:000260585900003
引用统计
被引频次:4[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
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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.
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