Institutional Repository, Institute of Psychology, Chinese Academy of Sciences
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 |
ISSN | 0096-3003 |
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 | |
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. |
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