The nonlinear dynamical analysis of the EEG in schizophrenia with temporal and spatial embedding dimension

Y. J. Lee, Y. S. Zhu, Y. H. Xu, M. F. Shen, S. B. Tong, Nitish V Thakor

Research output: Contribution to journalArticle

Abstract

We applied nonlinear dynamics theory to EEG analysis of schizophrenic patients and estimated the correlation dimension with both temporal embedding and spatial embedding. A higher D2 was found when using a time-delay embedding method. Especially at F7 and Fp1, a significant increase showed. We concluded that more complex activity occurred in certain lobes of schizophrenic patients. Using the spatial embedding method, a relative lower global correlation dimension was obtained. This shows that there might be a diffuse slow wave activity through a schizophrene's global cerebrum. Finally, we discuss the study from three angles of clinical semiology, spectrum analysis and neuropsychology and draw some conclusions about the relationship between the nonlinear analysis of schizophrenia EEG and clinical research. It seems that the theory of a nonlinear dynamics system is a powerful tool for EEG research and may prove useful in complementing visual analysis of EEG accompanied with other study means for brain electrical activity.

Original languageEnglish (US)
Pages (from-to)79-83
Number of pages5
JournalJournal of Medical Engineering and Technology
Volume25
Issue number2
DOIs
StatePublished - 2001
Externally publishedYes

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Electroencephalography
Schizophrenia
Nonlinear Dynamics
Neuropsychology
Cerebrum
Nonlinear analysis
Research
Spectrum analysis
Brain
Spectrum Analysis
Time delay
Dynamical systems

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

The nonlinear dynamical analysis of the EEG in schizophrenia with temporal and spatial embedding dimension. / Lee, Y. J.; Zhu, Y. S.; Xu, Y. H.; Shen, M. F.; Tong, S. B.; Thakor, Nitish V.

In: Journal of Medical Engineering and Technology, Vol. 25, No. 2, 2001, p. 79-83.

Research output: Contribution to journalArticle

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