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...

Descripción completa

Detalles Bibliográficos
Autores principales: Wen, Dong, Zhou, Yanhong, Li, Xiaoli
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