Nonlinear Analysis of EEG in Various Mental States of Normal Person.
- Author:
Seung Hee CHAE
1
;
Jee Young OH
;
Eun Youn JOO
;
Eun Mi PARK
;
Kyoung Gyu CHOI
;
Eung Soo KIM
Author Information
1. Department of Neurology, Ewha Medical Research Center, College of Medicine, Ewha Womans University.
- Publication Type:Original Article
- Keywords:
EEG;
Nonlinear;
Fractal dimension;
Lyapunov exponent;
Mental activities;
Chaos
- MeSH:
Acoustic Stimulation;
Central Nervous System;
Electroencephalography*;
Fractals;
Hope;
Humans;
Music;
Photic Stimulation
- From:Journal of the Korean Neurological Association
2000;18(5):581-588
- CountryRepublic of Korea
- Language:Korean
-
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.
