Reply to "Comment on 'Analysis of electroencephalograms in Alzheimer's disease patients with multiscale entropy'"
Escudero, J, Abásolo, D, Hornero, R, Espino, P and López, M (2007) Reply to "Comment on 'Analysis of electroencephalograms in Alzheimer's disease patients with multiscale entropy'" PHYSIOL MEAS, 28 (12). L3-L7.
Available under License : See the attached licence file.
We appreciate the interest of Dr Tang in our article. Certainly, our previous results should be taken with caution due to the small database size. Nevertheless, it must be noted that this limitation was clearly recognized in our article. Furthermore, our hypothesis is completely justified from the current state of the art in the analysis of electroencephalogram (EEG) signals from Alzheimer's disease (AD) patients. We evaluated whether the multiscale entropy (MSE) analysis of the EEG background activity was useful to distinguish AD patients and controls. We do believe that further discussions about risk factors or related clinicophysiological protein aspects are clearly beyond the scope of our article. For the sake of completeness, we now detail some results that complement our previous analysis. They suggest that the MSE analysis can provide relevant information about the dynamics of AD patients' EEG data. Thus, we must reaffirm our conclusions, although we again acknowledge that further studies are needed.
|Divisions :||Faculty of Engineering and Physical Sciences > Mechanical Engineering Sciences|
|Date :||December 2007|
|Identification Number :||https://doi.org/10.1088/0967-3334/28/12/L02|
|Uncontrolled Keywords :||Alzheimer's disease (AD), electroencephalogram (EEG), multiscale entropy (MSE), receiver operating characteristic (ROC) curve, EEG BACKGROUND ACTIVITY, AUTONOMIC INFORMATION-FLOW, REGULARITY, DYNAMICS|
|Additional Information :||Copyright 2007 Institute of Physics. This is the author's accepted manuscript.|
|Depositing User :||Symplectic Elements|
|Date Deposited :||31 Oct 2012 13:22|
|Last Modified :||23 Sep 2013 19:37|
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