J Korean Neurol Assoc.  2000 Sep;18(5):581-588.

Nonlinear Analysis of EEG in Various Mental States of Normal Person

Affiliations
  • 1Department of Neurology, Ewha Medical Research Center, College of Medicine, Ewha Womans University.
  • 2Division of Elec. Info. & Comm. Engineering, Daejon University.

Abstract

BACKGROUND: In order to compare the differences between various mental activities and to determine the significance of chaotic patterns, we performed a fractal dimension and Lyapunov exponent analysis of digital EEG data which are known to be non linear biological signals.
METHODS
During the EEG recordings, different kinds of tasks were performed, including eye closing, eye opening, calculation, listening to music, and remembering a picture. Performance signals were recorded for each test as a digital EEG for more than one minute. We used our own software, CHASIM, to calculate the fractal dimension and Lyapunov exponent. The statistical analysis performed was an ANOVA using SAS 6.12 for Windows (9.0).
RESULTS
The fractal dimensions during the "listening to music and noise", and "moving both toes" tasks were increased. During the "eye opening", "calculation", and "moving both fingers" tasks, the fractal dimensions were decreased.
CONCLUSIONS
Auditory stimulation generated a higher correlation dimension than visual stimulation. The interpretation of these results is still not totally clear, but we hope to find future applications for non-linear chaotic analysis for the functional evaluation of the central nervous system.

Keyword

EEG; Nonlinear; Fractal dimension; Lyapunov exponent; Mental activities; Chaos

MeSH Terms

Acoustic Stimulation
Central Nervous System
Electroencephalography*
Fractals
Hope
Humans
Music
Photic Stimulation
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