APPROXIMATE ENTROPY OF EEG BACKGROUND ACTIVITY IN ALZHEIMER'S DISEASE PATIENTS

Abásolo, D, Hornero, R and Espino, P (2009) APPROXIMATE ENTROPY OF EEG BACKGROUND ACTIVITY IN ALZHEIMER'S DISEASE PATIENTS INTELL AUTOM SOFT CO, 15 (4). pp. 591-603.

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Abstract

Non-linear analysis of the electroencephalogram (EEG) background activity can help to obtain a better understanding of abnormal dynamics in the brain. The aim of this study was to analyze the regularity of the EEG time series of Alzheimer's disease (AD) Patients to test the hypothesis that the irregularity of the AD patients' EEG is lower than that of age-matched controls. We recorded the EEG from 19 scalp electrodes in 11 AD patients and 11 age-matched controls and estimated the Approximate Entropy (ApEn). ApEn is a non-linear method that can be used to quantify the irregularity of a time series. Larger values correspond to more irregularity. We evaluated different values for input parameters m and r to estimate ApEn and concluded that m=1 and r=0.25 times the SD of the time series were the optimum choices. With these parameters, ApEn was significantly lower in the AD patients at the P3, P41 O1 and O2 (p < 0.01) electrodes. The decreased irregularity found in the EEG of AD patients in the parietal and occipital regions leads us to think that regularity analysis of the EEG with ApEn could be a useful tool to increase our insight into brain dysfunction in Alzheimer's disease.

Item Type:	Article
Divisions :	Faculty of Engineering and Physical Sciences > Mechanical Engineering Sciences
Authors :	Name Email ORCID Abásolo, D Hornero, R Espino, P
Date :	2009
Uncontrolled Keywords :	Alzheimer's disease, EEG, Non-linear analysis, Approximate Entropy, Regularity, MILD COGNITIVE IMPAIRMENT, LYAPUNOV EXPONENTS, TIME-SERIES, SYNCHRONIZATION, IRREGULARITY, REGULARITY, COMPLEXITY, DEMENTIA, DYNAMICS, SYSTEMS
Additional Information :	Copyright © 2009, TSI® Press. Printed in the USA. All rights reserved.
Depositing User :	Symplectic Elements
Date Deposited :	21 Dec 2011 15:28
Last Modified :	31 Oct 2017 14:16
URI:	http://epubs.surrey.ac.uk/id/eprint/39602

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