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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
Source PublicationAPPLIED MATHEMATICS AND COMPUTATION
ISSN0096-3003
SubtypeArticle
Volume205Issue:1Pages:19-25
AbstractIn 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.
KeywordSpatiotemporal chaos fMRI Resting state Spatiotemporal Lyapunov Exponent Nonlinear dynamics
Subject Area生理心理学/生物心理学
Indexed BySCI ; ISTP
Language英语
WOS IDWOS:000260585900003
Citation statistics
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/5307
Collection中国科学院心理研究所回溯数据库(1956-2010)
Corresponding AuthorX. P. Xie
Affiliation1.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
Recommended Citation
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.
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