University of Surrey

Test tubes in the lab Research in the ATI Dance Research

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). 591 - 603. ISSN 1079-8587

[img] PDF (deleted)
Abasolo_IntellAutomSoftCo_finalversion_2009.pdf
Restricted to Repository staff only
Available under License : See the attached licence file.

Download (295kB)
[img] Plain Text (licence)
licence.txt

Download (1kB)
[img] PDF (deleted)
Abasolo_et_al_IntellAutomSoftCo_finalversion_2009.pdf
Restricted to Repository staff only
Available under License : See the attached licence file.

Download (295kB)
[img]
Preview
PDF
Abasolo_et_al_IntellAutomSoftCo_final_version_2009.pdf
Available under License : See the attached licence file.

Download (295kB)

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
Additional Information: Copyright © 2009, TSI® Press. Printed in the USA. All rights reserved.
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
Divisions: Faculty of Engineering and Physical Sciences > Mechanical Engineering Sciences
Depositing User: Symplectic Elements
Date Deposited: 21 Dec 2011 15:28
Last Modified: 23 Sep 2013 18:55
URI: http://epubs.surrey.ac.uk/id/eprint/39602

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800