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Markovian Analysis of EEG Signal Dynamics in Obsessive-Compulsive Disorder

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Advances in Processing and Pattern Analysis of Biological Signals

Abstract

Electroencephalograph (EEG) signal dynamics of recordings taken during an unstructured “eyes closed” recording session from 13 patients with severe obsessive-compulsive disorder (OCD) and eleven normal control subjects were investigated using Markov modelling of an autoregressive representation of the EEG signal. Limited state transition dynamics were observed in the EEG of all subjects with OCD but in none of the controls. These findings are discussed in relation to hypothesized disturbances in mental state transitions in OCD.

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Author information

Authors and Affiliations

  1. Centre for Applied Neurosciences School of Biophysical Sciences and Electrical Engineering, Swinburne University of Technology, Hawthorn, Victoria, 3122, Australia

    Alex A. Sergejew

  2. Department of Electrical and Computer Engineering, University of Queensland, St. Lucia, Queensland, 4072, Australia

    Ah Chung Tsoi

Authors
  1. Alex A. Sergejew
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  2. Ah Chung Tsoi
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Editor information

Editors and Affiliations

  1. Department of Biomedical Engineering, Technion-Israel Institute of Technology, Haifa, Israel

    Isak Gath

  2. Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel

    Gideon F. Inbar

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© 1996 Springer Science+Business Media New York

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Sergejew, A.A., Tsoi, A.C. (1996). Markovian Analysis of EEG Signal Dynamics in Obsessive-Compulsive Disorder. In: Gath, I., Inbar, G.F. (eds) Advances in Processing and Pattern Analysis of Biological Signals. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-9098-6_3

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  • DOI: https://doi.org/10.1007/978-1-4757-9098-6_3

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4757-9100-6

  • Online ISBN: 978-1-4757-9098-6

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