Magnetoencephalogram background activity analysis in Alzheimer's disease patients using auto mutual information
Gómez, C, Hornero, R, Fernández, A, Abásolo, D, Escudero, J and López, M (2006) Magnetoencephalogram background activity analysis in Alzheimer's disease patients using auto mutual information In: 28th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society, 2006-08-30 - 2006-09-03, New York, NY.
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Official URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp...
Abstract
The goal of this study was to analyze the magnetoencephalogram (MEG) background activity in patients,with Alzheimer's disease (AD) using the auto mutual information (AMI). Applied to time series, AMI provides a measure of future points predictability from past points. Five minutes of recording were acquired with a 148-channel wholehead magnetometer (AIIAGNES 2500 NVH, 413 Neuroimaging) in 12 patients with probable AD and 12 elderly control subjects. Artifact-free epochs of 20 seconds (3392 points, sample frequency of 169.6 Hz) were selected for our study. Our results showed that the absolute values of the averaged decline rate of AIM were lower in AD patients than in control subjects for all channels. In addition, there were statistically significant differences (p < 0.01, Student's t-test) in most channels. These preliminary results suggest that neuronal dysfunction in AD is associated with differences in the dynamical processes underlying the MEG recording.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | Copyright 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
| Uncontrolled Keywords: | APPROXIMATE ENTROPY, EEG, COMPLEXITY |
| Divisions: | Faculty of Engineering and Physical Sciences > Mechanical Engineering Sciences |
| ID Code: | 713803 |
| Deposited By: | Symplectic Elements |
| Deposited On: | 14 Nov 2012 10:37 |
| Last Modified: | 16 Feb 2013 16:00 |
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