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A Novel Application of Multiscale Entropy in Electroencephalography to Predict the Efficacy of Acetylcholinesterase Inhibitor in Alzheimer’s Disease
Joint Authors
Tsai, Ping-Huang
Liu, Fang-Chun
Tsao, Jenho
Wang, Yung-Hung
Lo, Men-Tzung
Chang, Shih-Chieh
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-18
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Alzheimer’s disease (AD) is the most common form of dementia.
According to one hypothesis, AD is caused by the reduced synthesis of the neurotransmitter acetylcholine.
Therefore, acetylcholinesterase (AChE) inhibitors are considered to be an effective therapy.
For clinicians, however, AChE inhibitors are not a predictable treatment for individual patients.
We aimed to disclose the difference by biosignal processing.
In this study, we used multiscale entropy (MSE) analysis, which can disclose the embedded information in different time scales, in electroencephalography (EEG), in an attempt to predict the efficacy of AChE inhibitors.
Seventeen newly diagnosed AD patients were enrolled, with an initial minimental state examination (MMSE) score of 18.8±4.5.
After 12 months of AChE inhibitor therapy, 7 patients were responsive and 10 patients were nonresponsive.
The major difference between these two groups is Slope 2 (MSE6 to 20).
The area below the receiver operating characteristic (ROC) curve of Slope 2 is 0.871 (95% CI = 0.69–1).
The sensitivity is 85.7% and the specificity is 60%, whereas the cut-off value of Slope 2 is −0.024.
Therefore, MSE analysis of EEG signals, especially Slope 2, provides a potential tool for predicting the efficacy of AChE inhibitors prior to therapy.
American Psychological Association (APA)
Tsai, Ping-Huang& Chang, Shih-Chieh& Liu, Fang-Chun& Tsao, Jenho& Wang, Yung-Hung& Lo, Men-Tzung. 2015. A Novel Application of Multiscale Entropy in Electroencephalography to Predict the Efficacy of Acetylcholinesterase Inhibitor in Alzheimer’s Disease. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1058045
Modern Language Association (MLA)
Tsai, Ping-Huang…[et al.]. A Novel Application of Multiscale Entropy in Electroencephalography to Predict the Efficacy of Acetylcholinesterase Inhibitor in Alzheimer’s Disease. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1058045
American Medical Association (AMA)
Tsai, Ping-Huang& Chang, Shih-Chieh& Liu, Fang-Chun& Tsao, Jenho& Wang, Yung-Hung& Lo, Men-Tzung. A Novel Application of Multiscale Entropy in Electroencephalography to Predict the Efficacy of Acetylcholinesterase Inhibitor in Alzheimer’s Disease. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1058045
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1058045