Magnetoencephalogram background activity analysis in Alzheimer's disease patients using auto mutual information

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Author list: Gómez C, Hornero R, Fernández A, Abasolo D, Escudero J, López M.

Publisher: Department of Signal Theory and Communications, E.T.S. Ingenieros de Telecomunicación, University of Valladolid

Publication year: 2006

Journal: Conference proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference (1557170X)

Start page: 6181

End page: 6184

Number of pages: 4

ISSN: 1557170X

URL: http://www.scopus.com/inward/record.url?eid=2-s2.0-84903857782&partnerID=MN8TOARS

Languages: English-Great Britain (EN-GB)

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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 whole-head magnetometer
(MAGNES 2500 WH, 4D 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
AMI 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.

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