A novel application of multiscale entropy in electroencephalography to predict the efficacy of acetylcholinesterase inhibitor in Alzheimer's disease

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Title:	A novel application of multiscale entropy in electroencephalography to predict the efficacy of acetylcholinesterase inhibitor in Alzheimer's disease
Authors:	王淵弘;Wang, Yung-Hung;Tsao, Jenho;Liu, Fang-Chun;Chang, Shih-Chieh;Tsai, Ping-Huang;Lo, Men-Tzung
Contributors:	工學院機械工程學系
Keywords:	Acetylcholine - chemistry;Aged;Algorithms;Alzheimer Disease - drug therapy;Alzheimer Disease - pathology;Brain - pathology;Cholinesterase Inhibitors - therapeutic use;Electroencephalography;Entropy;Female;Humans;Male;Middle Aged;Reproducibility of Results;ROC Curve;Sensitivity and Specificity;Signal Processing, Computer-Assisted;Tomography, X-Ray Computed;Treatment Outcome
Date:	2015-01-01
Issue Date:	2026-04-23 14:39:38 (UTC+8)
Publisher:	Hindawi Publishing Corporation;Cairo, Egypt: Hindawi Publishing Corporation
Abstract:	摘要： 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. 其他題名： Comput Math Methods Med 出版者： Cairo, Egypt: Hindawi Publishing Corporation 出版日期： 2015-01-01 出處： Computational and mathematical methods in medicine, 2015-01, Vol.2015 (2015), p.1-8 資源來源： EBSCOhost Academic Search Premier 版權： Copyright © 2015 Ping-Huang Tsai et al. 版權： Copyright © 2015 Ping-Huang Tsai et al. 2015 識別號： ISSN: 1748-670X 識別號： ISSN: 1748-6718 識別號： EISSN: 1748-6718 識別號： DOI: 10.1155/2015/953868 識別號： PMID: 26120358
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