title: Measuring "chaos" in the brain: a tutorial review of EEG dimension estimation.
abstract: The technique of dimension estimation is currently a leading application of nonlinear dynamics (popularly termed "chaos theory") to EEG analysis. A tutorial review of this technique is presented along with some elementary background concepts from nonlinear dynamics. Practical aspects of applying dimension estimation to EEG data are also reviewed, and the possible role of deterministic chaos in brain function is discussed.
authors.affiliation: Psychophysiology Laboratory, Bowman Gray Technical Center, R. J. Reynolds Tobacco Company, Winston-Salem, NC 27102, USA.
authors.forename: W S
authors.initials: WS
authors.lastname: Pritchard
authors.forename: D W
authors.initials: DW
authors.lastname: Duke
mesh_terms: D001921:Brain / Q000502:physiology*; D001931:Brain Mapping; D004569:Electroencephalography / Q000706:statistics & numerical data*; D005583:Fourier Analysis; D006801:Humans; D017711:Nonlinear Dynamics; D011930:Reaction Time / Q000502:physiology; D012815:Signal Processing, Computer-Assisted