MEG analysis in Alzheimer's disease computing approximate entropy for different frequency bands

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Author list: Gomez C, Abasolo D, Poza J, Fernandez A, Hornero R.
Publisher: Department of Signal Theory and Communications, E.T.S. Ingenieros de Telecomunicación, University of Valladolid
Publication year: 2010
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: 2379
End page: 2382
Number of pages: 4
ISSN: 1557170X
Languages: English-Great Britain (EN-GB)


The goal of this study was to analyze the magnetoencephalogram (MEG)
background activity in patients with Alzheimer's disease (AD) using a
regularity measure: approximate entropy (ApEn). This measure was
computed for a broad band (0.5-40 Hz) as well as typical frequency bands
(delta, theta, alpha, beta and gamma). Five minutes of recording were
acquired with a 148-channel whole-head magnetometer in 15 patients with
probable AD and 15 elderly control subjects. Our results showed that AD
patients' MEGs were more regular than controls' recordings at all
frequency bands, with the exception of beta. Additionally, there were
statistically significant differences (p 〈 0.01, Student's t-test) at
the broad and delta bands. Using receiver operating characteristic
curves, the highest accuracy (83.33%) was reached at delta band. These
results suggest the usefulness of ApEn to gain a better understanding of
dynamical processes underlying the MEG recording.


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Last updated on 2019-13-08 at 00:16