MEG analysis in Alzheimer's disease computing approximate entropy for different frequency bands.
Gómez, C, Abásolo, D, Poza, J, Fernández, A and Hornero, R (2010) MEG analysis in Alzheimer's disease computing approximate entropy for different frequency bands.
Available under License : See the attached licence file.
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.
|Item Type:||Conference or Workshop Item (Conference Paper)|
|Divisions :||Faculty of Engineering and Physical Sciences > Mechanical Engineering Sciences|
|Identification Number :||https://doi.org/10.1109/IEMBS.2010.5627236|
|Additional Information :||Copyright 2010 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.|
|Depositing User :||Symplectic Elements|
|Date Deposited :||14 Nov 2012 10:26|
|Last Modified :||23 Sep 2013 19:36|
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