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Ho MC, Chen TC, Huang CF, et al. Detect AD Patients by Using EEG Coherence Analysis. J Med Eng. 2014;2014:236734doi: 10.1155/2014/236734.
Ho, M. C., Chen, T. C., Huang, C. F., Yu, C. H., Chen, J. M., Huang, R. Y., Ho, H. C., & Liu, C. J. (2014). Detect AD Patients by Using EEG Coherence Analysis. Journal of medical engineering, 2014236734. https://doi.org/10.1155/2014/236734
Ho, Ming-Chung, et al. "Detect AD Patients by Using EEG Coherence Analysis." Journal of medical engineering vol. 2014 (2014): 236734. doi: https://doi.org/10.1155/2014/236734
Ho MC, Chen TC, Huang CF, Yu CH, Chen JM, Huang RY, Ho HC, Liu CJ. Detect AD Patients by Using EEG Coherence Analysis. J Med Eng. 2014;2014:236734. doi: 10.1155/2014/236734. Epub 2014 Feb 10. PMID: 27006929; PMCID: PMC4782614.
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J Med Eng. 2014;2014:236734. doi: 10.1155/2014/236734. Epub 2014 Feb 10.

Detect AD Patients by Using EEG Coherence Analysis.

Journal of medical engineering

Ming-Chung Ho, Tsung-Ching Chen, Chin-Fei Huang, Cheng-Hsieh Yu, Jhih-Ming Chen, Ray-Ying Huang, Hsing-Chung Ho, Chia-Ju Liu

Affiliations

  1. Department of Physics, National Kaohsiung Normal University, Kaohsiung 824, Taiwan.
  2. Graduate Institute of Science Education, National Kaohsiung Normal University, Kaohsiung 824, Taiwan.

PMID: 27006929 PMCID: PMC4782614 DOI: 10.1155/2014/236734

Abstract

The purpose of this study is to discriminate mild Alzheimer's disease (AD) patients from the normal aging. The EEG coherence was applied to analyze the data from auditory oddball paradigm to discriminate the differences of corticocortical connections between mild AD patients and healthy subjects. The results showed that the lower values of coherence were performed in mild AD patients than in the normal aging subjects, especially in theta band. The implications and suggestions are shown in this study.

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