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 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.
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.
Dong
D
Wen
Institute of Mathematics and Information Technology, Hebei Normal University of Science and Technology , Qinhuangdao , China.
Yanhong
Y
Zhou
State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University , Beijing , China.
Xiaoli
X
Li
Alzheimer’s disease; EEG; coupling; mild cognitive impairment; synchronization