Spatiotemporal nonlinearity in resting-state fMRI of the human brain
文献类型：期刊论文
| 作者 | Xiaoping Xie ; Zhitong Cao ; Weng XC(翁旭初) |
| 刊名 | Neuroimage
 |
| 出版日期 | 2008 |
| 卷号 | 40期号:4页码:1672-1685 |
| 通讯作者邮箱 | iap@zju.edu.cn |
| 关键词 | Spatiotemporal nonlinearity Correlation dimension Spatiotemporal Lyapunov Exponents Intrinsic dimensionality Principal Component Analysis fMRI Resting-state Human brain |
| 产权排序 | 2 |
| 通讯作者 | Xiaoping Xie |
| 合作状况 | 国内 |
| 英文摘要 | In this work, the spatiotemporal nonlinearity in resting-state fMRI data of the human brain was detected by nonlinear dynamics methods. Nine human subjects during resting state were imaged using single-shot gradient echo planar imaging on a 1.5T scanner. Eigenvalue spectra for the covariance matrix, correlation dimensions and Spatiotemporal Lyapunov Exponents were calculated to detect the spatiotemporal nonlinearity in resting-state fMRI data. By simulating, adjusting, and comparing the eigenvalue spectra of pure correlated noise with the corresponding real fMRI data, the intrinsic dimensionality was estimated. The intrinsic dimensionality was used to extract the first few principal components from the real fMRI data using Principal Component Analysis, which will preserve the correct phase dynamics, while reducing both computational load and noise level of the data. Then the phase-space was reconstructed using the time-delay embedding method for their principal components and the correlation dimension was estimated by the Grassberger-Procaccia algorithm of multiple variable series. The Spatiotemporal Lyapunov Exponents were calculated by using the method based on coupled map lattices. Through nonlinearity testing, there are significant differences of correlation dimensions and Spatiotemporal Lyapunov Exponents between fMRI data and their surrogate data. The fractal dimension and the positive Spatiotemporal Lyapunov Exponents characterize the spatiotemporal nonlinear dynamics property of resting-state fMRI data. Therefore, the results suggest that fluctuations presented in resting state may be an inherent model of basal neural activation of human brain, cannot be fully attributed to noise. |
| 学科主题 | 医学心理学 |
| 收录类别 | SCI |
| 语种 | 中文 |
| 公开日期 | 2014-06-06 |
| 源URL | [http://ir.psych.ac.cn/handle/311026/10056]  |
| 专题 | 心理研究所_中国科学院心理研究所回溯数据库(1956-2010) |
| 推荐引用方式 GB/T 7714 | Xiaoping Xie,Zhitong Cao,Weng XC. Spatiotemporal nonlinearity in resting-state fMRI of the human brain[J]. Neuroimage,2008,40(4):1672-1685. |
| APA | Xiaoping Xie,Zhitong Cao,&Weng XC.(2008).Spatiotemporal nonlinearity in resting-state fMRI of the human brain.Neuroimage,40(4),1672-1685. |
| MLA | Xiaoping Xie,et al."Spatiotemporal nonlinearity in resting-state fMRI of the human brain".Neuroimage 40.4(2008):1672-1685. |
入库方式： OAI收割
来源：心理研究所
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