Detect AD Patients by Using EEG Coherence Analysis | Zendy

MingChung Ho | Zendy; TsungChing Chen | Zendy; Chin-Fei Huang | Zendy; Cheng-Hsieh Yu | Zendy; JhihMing Chen | Zendy; Ray-Ying Huang | Zendy; Hsing-Chung Ho | Zendy; ChiaJu Liu | Zendy

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Detect AD Patients by Using EEG Coherence Analysis

Author(s) -

MingChung Ho,

TsungChing Chen,

Chin-Fei Huang,

Cheng-Hsieh Yu,

JhihMing Chen,

Ray-Ying Huang,

Hsing-Chung Ho,

ChiaJu Liu

Publication year - 2014

Publication title -

journal of medical engineering

Language(s) - English

Resource type - Journals

eISSN - 2314-5137

pISSN - 2314-5129

DOI - 10.1155/2014/236734

Subject(s) - electroencephalography , coherence (philosophical gambling strategy) , psychology , computer science , neuroscience , statistics , mathematics

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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