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January 2022

Application of dimension estimation and surrogate data to the time evolution of EEG topographic variables

Author(s): Krieble, K. K., Duke, D. W.

Journal/Book: Int J Psychophysiol. 1996; 24: PO Box 211, 1000 AE Amsterdam, Netherlands. Elsevier Science BV. 189-195.

Abstract: Dimensional complexity (estimated correlation dimension) was measured for two topographic EEG time series: (a) the time evolution of global field power (GFP) and (b) the time evolution of sequential dissimilarity (SQD) for resting, eyes-closed and eyes-open data. Eyes-closed GFP and eyes-closed/open SQD all had an element of nonlinearity in their dynamics as evidenced by increased dimensional complexity associated with the phase-angle randomization, Gaussian surrogate-data procedure. However, none of the three gave any evidence of being deterministic chaotic processes. Eyes-open GFP dimensional complexity could not be distinguished from a linear-stochastic process.

Note: Article Pritchard WS, Rj Reynolds Tobacco Co, Bowman Gray Tech Ctr, Psychophysiol Lab, Winston Salem,NC 27102 USA

Keyword(s): EEG; topography; global field power; sequential dissimilarity; correlation dimension; nonlinear dynamics; chaos; CIGARETTE-SMOKING; NONLINEARITY

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