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A critical review: coupling and synchronization analysis methods of EEG signal with mild cognitive impairment.

Wen D, Zhou Y, Li X - Front Aging Neurosci (2015)

Bottom Line: 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.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.

View Article: PubMed Central - PubMed

Affiliation: School of Information Science and Engineering, Yanshan University , Qinhuangdao , China ; The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province, Yanshan University , Qinhuangdao , China.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus

The working pattern of five coupling and six synchronization methods with application to EEG signals of MCI patients. (A) showed working pattern of five coupling methods, and (B) showed working pattern of six synchronization methods.
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Figure 1: The working pattern of five coupling and six synchronization methods with application to EEG signals of MCI patients. (A) showed working pattern of five coupling methods, and (B) showed working pattern of six synchronization methods.

Mentions: This paper summarized the principles and performances of the above coupling and synchronization methods. Figure 1 showed how the coupling and synchronization methods work in application to EEG signals of MCI patients. And Table 1 displayed the performance of the best indicators from these methods in analyzing EEG signals of MCI patients.


A critical review: coupling and synchronization analysis methods of EEG signal with mild cognitive impairment.

Wen D, Zhou Y, Li X - Front Aging Neurosci (2015)

The working pattern of five coupling and six synchronization methods with application to EEG signals of MCI patients. (A) showed working pattern of five coupling methods, and (B) showed working pattern of six synchronization methods.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4403503&req=5

Figure 1: The working pattern of five coupling and six synchronization methods with application to EEG signals of MCI patients. (A) showed working pattern of five coupling methods, and (B) showed working pattern of six synchronization methods.
Mentions: This paper summarized the principles and performances of the above coupling and synchronization methods. Figure 1 showed how the coupling and synchronization methods work in application to EEG signals of MCI patients. And Table 1 displayed the performance of the best indicators from these methods in analyzing EEG signals of MCI patients.

Bottom Line: 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.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.

View Article: PubMed Central - PubMed

Affiliation: School of Information Science and Engineering, Yanshan University , Qinhuangdao , China ; The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province, Yanshan University , Qinhuangdao , China.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus