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Permutation Entropy Analysis of EEG of Mild Cognitive Impairment Patients During Memory Activation Task

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Fractals, Wavelets, and their Applications

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 92))

Abstract

Permutation Entropy (PE) statistic is a measure of self-similarity of the time series estimated from its ordinal patterns. This measure is used to detect the dynamical differences between patients with mild cognitive impairment (MCI) and normal controls. The comparison of PE values of Electroencephalograph (EEG) of the two groups in the resting eyes closed (EC) state and the short-term memory task (STM) state reveals altered efficiency of the different lobes of MCI brain in the compensational dynamical mechanism for task management. In resting EC state, PE values of MCI group is significantly (p∠0. 05) lower than that of controls in the frontal, temporal, and anterior parietal regions. In the STM task state, entropy levels of MCI group are significantly (p∠0. 05) lower than that of controls in the frontal region and the left parietal region. These findings suggest that nonlinear analysis of EEG using PE can provide important information about EEG characteristic of cognitively impaired condition that can lead to Alzheimer’s Disease(AD).

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Acknowledgements

The Authors would like to thank Prof. (Late) R. Pratap for suggesting the problem and for the stimulating discussions during the initial stage of this work. One of the authors, (BMK) would like to acknowledge financial support from Science and Engineering Research Board, Department of Science and Technology (India), through Fast Track Scheme No.SR/FTP/PS-006/2010 and thank Prof. Jacob Philip, Director, STIC for all the support and encouragement.

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Authors and Affiliations

  1. School of Engineering, Cochin University of Science and Technology, Cochin, 682022, India

    Leena T. Timothy & Usha Nair

  2. Sophisticated Test and Instrumentation Centre, Cochin University of Science and Technology, Cochin, 682022, India

    Bindu M. Krishna

  3. Department of neurology, Lakeshore Hospital and Research Centre, Cochin, 682304, India

    Murali Krishna Menon

Authors
  1. Leena T. Timothy
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  2. Bindu M. Krishna
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  3. Murali Krishna Menon
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  4. Usha Nair
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Corresponding author

Correspondence to Bindu M. Krishna .

Editor information

Editors and Affiliations

  1. Institut für Mathematik und Informatik, Universität Greifswald, Greifswald, Mecklenburg-Vorpomm., Germany

    Christoph Bandt

  2. Mathematical Sciences Institute, Australian National University, Canberra, Australia

    Michael Barnsley

  3. Math Department, Boston University, Boston, Massachusetts, USA

    Robert Devaney

  4. Mathematical Institute, University of St Andrews, St Andrews, Fife, United Kingdom

    Kenneth J. Falconer

  5. Department of Mathematics and Statistics, University of Hyderabad, Hyderabad, India

    V. Kannan

  6. Department of Basic Sciences & Humanities, Rajagiri School of Engineering & Technology, Kerala, India

    Vinod Kumar P.B.

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© 2014 Springer International Publishing Switzerland

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Timothy, L.T., Krishna, B.M., Menon, M.K., Nair, U. (2014). Permutation Entropy Analysis of EEG of Mild Cognitive Impairment Patients During Memory Activation Task. In: Bandt, C., Barnsley, M., Devaney, R., Falconer, K., Kannan, V., Kumar P.B., V. (eds) Fractals, Wavelets, and their Applications. Springer Proceedings in Mathematics & Statistics, vol 92. Springer, Cham. https://doi.org/10.1007/978-3-319-08105-2_25

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