Normalized linear variance decay dimension density and its application of dynamical complexity detection in physiological (fMRI) time series

DOI10.1016/J.PHYSLETA.2011.03.003zbMath1242.62106OpenAlexW2035143282MaRDI QIDQ434024

Xiaohu Zhao, Zhitong Cao, Youtong Fang, Xiaoping Xie, Guoguang He

Publication date: 9 July 2012

Published in: Physics Letters. A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physleta.2011.03.003

zbMATH Keywords

SVDfMRI

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Physiology (general) (92C30)

Uses Software

• TISEAN

Cites Work

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• Determining Lyapunov exponents from a time series
• Recurrence quantification analysis of the logistic equation with transients.
• Detecting spatiotemporal nonlinear dynamics in resting state of human brain based on fMRI datasets
• Practical implementation of nonlinear time series methods: The <scp>TISEAN</scp> package
• A theory for multiresolution signal decomposition: the wavelet representation
• Lyapunov exponents from observed time series
• Deterministic Nonperiodic Flow

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