DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jeong, Dong-Hwa | ko |
dc.contributor.author | Kim, Young Do | ko |
dc.contributor.author | Song, In Uk | ko |
dc.contributor.author | Chung, Yong An | ko |
dc.contributor.author | Jeong, Jaeseung | ko |
dc.date.accessioned | 2016-06-28T02:06:09Z | - |
dc.date.available | 2016-06-28T02:06:09Z | - |
dc.date.created | 2016-01-06 | - |
dc.date.created | 2016-01-06 | - |
dc.date.issued | 2016-01 | - |
dc.identifier.citation | ENTROPY, v.18, no.1 | - |
dc.identifier.issn | 1099-4300 | - |
dc.identifier.uri | http://hdl.handle.net/10203/208029 | - |
dc.description.abstract | Parkinson's disease (PD) and Alzheimer's disease (AD) can coexist in severely affected; elderly patients. Since they have different pathological causes and lesions and consequently require different treatments; it is critical to distinguish PD-related dementia (PD-D) from AD. Conventional electroencephalograph (EEG) analysis has produced poor results. This study investigated the possibility of using relative wavelet energy (RWE) and wavelet coherence (WC) analysis to distinguish between PD-D patients; AD patients and healthy elderly subjects. In EEG signals; we found that low-frequency wavelet energy increased and high-frequency wavelet energy decreased in PD-D patients and AD patients relative to healthy subjects. This result suggests that cognitive decline in both diseases is potentially related to slow EEG activity; which is consistent with previous studies. More importantly; WC values were lower in AD patients and higher in PD-D patients compared with healthy subjects. In particular; AD patients exhibited decreased WC primarily in the band and in links related to frontal regions; while PD-D patients exhibited increased WC primarily in the and bands and in temporo-parietal links. Linear discriminant analysis (LDA) of RWE produced a maximum accuracy of 79.18% for diagnosing PD-D and 81.25% for diagnosing AD. The discriminant accuracy was 73.40% with 78.78% sensitivity and 69.47% specificity. In distinguishing between the two diseases; the maximum performance of LDA using WC was 80.19%. We suggest that using a wavelet approach to evaluate EEG results may facilitate discrimination between PD-D and AD. In particular; RWE is useful for differentiating individuals with and without dementia and WC is useful for differentiating between PD-D and AD. | - |
dc.language | English | - |
dc.publisher | MDPI AG | - |
dc.subject | MILD COGNITIVE IMPAIRMENT | - |
dc.subject | EARLY-STAGE | - |
dc.subject | FUNCTIONAL CONNECTIVITY | - |
dc.subject | FREQUENCY-ANALYSIS | - |
dc.subject | BRAIN ACTIVITY | - |
dc.subject | RESTING EEG | - |
dc.subject | STATE | - |
dc.subject | SYNCHRONIZATION | - |
dc.subject | DYNAMICS | - |
dc.subject | SERIES | - |
dc.title | Wavelet Energy and Wavelet Coherence as EEG Biomarkers for the Diagnosis of Parkinson's Disease-Related Dementia and Alzheimer's Disease | - |
dc.type | Article | - |
dc.identifier.wosid | 000369488800017 | - |
dc.identifier.scopusid | 2-s2.0-84956683382 | - |
dc.type.rims | ART | - |
dc.citation.volume | 18 | - |
dc.citation.issue | 1 | - |
dc.citation.publicationname | ENTROPY | - |
dc.identifier.doi | 10.3390/e18010008 | - |
dc.contributor.localauthor | Jeong, Jaeseung | - |
dc.contributor.nonIdAuthor | Kim, Young Do | - |
dc.contributor.nonIdAuthor | Song, In Uk | - |
dc.contributor.nonIdAuthor | Chung, Yong An | - |
dc.description.isOpenAccess | Y | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | wavelet analysis | - |
dc.subject.keywordAuthor | relative wavelet energy | - |
dc.subject.keywordAuthor | wavelet coherence | - |
dc.subject.keywordAuthor | Parkinson-related dementia | - |
dc.subject.keywordAuthor | Alzheimer&apos | - |
dc.subject.keywordAuthor | s disease | - |
dc.subject.keywordAuthor | EEG | - |
dc.subject.keywordPlus | MILD COGNITIVE IMPAIRMENT | - |
dc.subject.keywordPlus | EARLY-STAGE | - |
dc.subject.keywordPlus | FUNCTIONAL CONNECTIVITY | - |
dc.subject.keywordPlus | FREQUENCY-ANALYSIS | - |
dc.subject.keywordPlus | BRAIN ACTIVITY | - |
dc.subject.keywordPlus | RESTING EEG | - |
dc.subject.keywordPlus | STATE | - |
dc.subject.keywordPlus | SYNCHRONIZATION | - |
dc.subject.keywordPlus | DYNAMICS | - |
dc.subject.keywordPlus | SERIES | - |
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