Cargando…
A Critical Review: Coupling and Synchronization Analysis Methods of EEG Signal with Mild Cognitive Impairment
At present, the clinical diagnosis of mild cognitive impairment (MCI) patients becomes the important approach of evaluating early Alzheimer’s disease. The methods of EEG signal coupling and synchronization act as a key role in evaluating and diagnosing MCI patients. Recently, these coupling and sync...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4403503/ https://www.ncbi.nlm.nih.gov/pubmed/25941486 http://dx.doi.org/10.3389/fnagi.2015.00054 |
_version_ | 1782367337156968448 |
---|---|
author | Wen, Dong Zhou, Yanhong Li, Xiaoli |
author_facet | Wen, Dong Zhou, Yanhong Li, Xiaoli |
author_sort | Wen, Dong |
collection | PubMed |
description | At present, the clinical diagnosis of mild cognitive impairment (MCI) patients becomes the important approach of evaluating early Alzheimer’s disease. The methods of EEG signal coupling and synchronization act as a key role in evaluating and diagnosing MCI patients. Recently, these coupling and synchronization methods were used to analyze the EEG signals of MCI patients according to different angles, and many important discoveries have been achieved. However, considering that every method is single-faceted in solving problems, these methods have various deficiencies when analyzing EEG signals of MCI patients. This paper reviewed in detail the coupling and synchronization analysis methods, analyzed their advantages and disadvantages, and proposed a few research questions needed to solve in the future. Also, the principles and best performances of these methods were described. It is expected that the performance analysis of these methods can provide the theoretical basis for the method selection of analyzing EEG signals of MCI patients and the future research directions. |
format | Online Article Text |
id | pubmed-4403503 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-44035032015-05-04 A Critical Review: Coupling and Synchronization Analysis Methods of EEG Signal with Mild Cognitive Impairment Wen, Dong Zhou, Yanhong Li, Xiaoli Front Aging Neurosci Neuroscience At present, the clinical diagnosis of mild cognitive impairment (MCI) patients becomes the important approach of evaluating early Alzheimer’s disease. The methods of EEG signal coupling and synchronization act as a key role in evaluating and diagnosing MCI patients. Recently, these coupling and synchronization methods were used to analyze the EEG signals of MCI patients according to different angles, and many important discoveries have been achieved. However, considering that every method is single-faceted in solving problems, these methods have various deficiencies when analyzing EEG signals of MCI patients. This paper reviewed in detail the coupling and synchronization analysis methods, analyzed their advantages and disadvantages, and proposed a few research questions needed to solve in the future. Also, the principles and best performances of these methods were described. It is expected that the performance analysis of these methods can provide the theoretical basis for the method selection of analyzing EEG signals of MCI patients and the future research directions. Frontiers Media S.A. 2015-04-20 /pmc/articles/PMC4403503/ /pubmed/25941486 http://dx.doi.org/10.3389/fnagi.2015.00054 Text en Copyright © 2015 Wen, Zhou and Li. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Wen, Dong Zhou, Yanhong Li, Xiaoli A Critical Review: Coupling and Synchronization Analysis Methods of EEG Signal with Mild Cognitive Impairment |
title | A Critical Review: Coupling and Synchronization Analysis Methods of EEG Signal with Mild Cognitive Impairment |
title_full | A Critical Review: Coupling and Synchronization Analysis Methods of EEG Signal with Mild Cognitive Impairment |
title_fullStr | A Critical Review: Coupling and Synchronization Analysis Methods of EEG Signal with Mild Cognitive Impairment |
title_full_unstemmed | A Critical Review: Coupling and Synchronization Analysis Methods of EEG Signal with Mild Cognitive Impairment |
title_short | A Critical Review: Coupling and Synchronization Analysis Methods of EEG Signal with Mild Cognitive Impairment |
title_sort | critical review: coupling and synchronization analysis methods of eeg signal with mild cognitive impairment |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4403503/ https://www.ncbi.nlm.nih.gov/pubmed/25941486 http://dx.doi.org/10.3389/fnagi.2015.00054 |
work_keys_str_mv | AT wendong acriticalreviewcouplingandsynchronizationanalysismethodsofeegsignalwithmildcognitiveimpairment AT zhouyanhong acriticalreviewcouplingandsynchronizationanalysismethodsofeegsignalwithmildcognitiveimpairment AT lixiaoli acriticalreviewcouplingandsynchronizationanalysismethodsofeegsignalwithmildcognitiveimpairment AT wendong criticalreviewcouplingandsynchronizationanalysismethodsofeegsignalwithmildcognitiveimpairment AT zhouyanhong criticalreviewcouplingandsynchronizationanalysismethodsofeegsignalwithmildcognitiveimpairment AT lixiaoli criticalreviewcouplingandsynchronizationanalysismethodsofeegsignalwithmildcognitiveimpairment |