An estimation of the first positive Lyapunov exponent of the EEG in patients with schizophrenia

  • Dai Jin Kim
  • , Jaeseung Jeong
  • , Jeong Ho Chae
  • , Seongchong Park
  • , Soo Yong Kim
  • , Hyo Jin Go
  • , In Ho Paik
  • , Kwang Soo Kim
  • , Bomoon Choi

Research output: Contribution to journalArticlepeer-review

78 Scopus citations

Abstract

We studied the complexity of the electroencephalogram (EEG) in schizophrenic patients by estimating the first Lyapunov exponent (L1), which might serve as an indicator of the specific brain function in schizophrenia. We recorded the EEG from 25 schizophrenic patients (12 male, 13 female; age=25.1±7.0 years) fulfilling DSM-IV criteria and 15 healthy controls (9 male, 6 female; age=27.8±4.2 years) at 16 electrodes, different from previous studies which recorded the EEGs at limited electrodes. We employed a method with an optimal embedding dimension to calculate the L1s. For limited noisy data, this algorithm was strikingly faster and more accurate than previous ones. Our results showed that the schizophrenic patients had lower values of the L1 at the left inferior frontal and anterior temporal regions compared with normal controls. These results for L1 in non-linear analysis have some differences from those for power ratios in linear analysis. These suggest that the non-linear analysis of the EEGs such as the estimation of the L1 might be a useful tool in analyzing EEG data to explore the neurodynamics of the brains of schizophrenic patients. Copyright (C) 2000 Elsevier Science Ireland Ltd.

Original languageEnglish
Pages (from-to)177-189
Number of pages13
JournalPsychiatry Research - Neuroimaging
Volume98
Issue number3
DOIs
StatePublished - 15 May 2000

Bibliographical note

Funding Information:
This research was supported by the G7-project from the Ministry of Science and Technology Korea.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Complexity
  • EEG
  • Lyapunov exponent
  • Non-linear analysis
  • Schizophrenia

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