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Cognitive Neurodynamics

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05-01-2018 | Research Article

Analysis of long range dependence in the EEG signals of Alzheimer patients

Authors: T. Nimmy John, Subha D. Puthankattil, Ramshekhar Menon

Published in: Cognitive Neurodynamics | Issue 2/2018

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Abstract

Alzheimer’s disease (AD), a cognitive disability is analysed using a long range dependence parameter, hurst exponent (HE), calculated based on the time domain analysis of the measured electrical activity of brain. The electroencephalogram (EEG) signals of controls and mild cognitive impairment (MCI)-AD patients are evaluated under normal resting and mental arithmetic conditions. Simultaneous low pass filtering and total variation denoising algorithm is employed for preprocessing. Larger values of HE observed in the right hemisphere of the brain for AD patients indicated a decrease in irregularity of the EEG signal under cognitive task conditions. Correlations between HE and the neuropsychological indices are analysed using bivariate correlation analysis. The observed reduction in the values of Auto mutual information and cross mutual information in the local antero-frontal and distant regions in the brain hemisphere indicates the loss of information transmission in MCI-AD patients.

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Title: Analysis of long range dependence in the EEG signals of Alzheimer patients
Authors: T. Nimmy John
Subha D. Puthankattil
Ramshekhar Menon
Publication date: 05-01-2018
Publisher: Springer Netherlands
Published in: Cognitive Neurodynamics / Issue 2/2018
Print ISSN: 1871-4080
Electronic ISSN: 1871-4099
DOI: https://doi.org/10.1007/s11571-017-9467-8

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