Electroencephalography(EEG)is a powerful tool for investigating the brain bases of human psychological processes non-invasively.Some important mental functions could be encoded by resting-state EEG activity;that is,th...Electroencephalography(EEG)is a powerful tool for investigating the brain bases of human psychological processes non-invasively.Some important mental functions could be encoded by resting-state EEG activity;that is,the intrinsic neural activity not elicited by a specific task or stimulus.The extraction of informative features from resting-state EEG requires complex signal processing techniques.This review aims to demystify the widely used resting-state EEG signal processing techniques.To this end,we first offer a preprocessing pipeline and discuss how to apply it to resting-state EEG preprocessing.We then examine in detail spectral,connectivity,and microstate analysis,covering the oft-used EEG measures,practical issues involved,and data visualization.Finally,we briefly touch upon advanced techniques like nonlinear neural dynamics,complex networks,and machine learning.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.31822025,No.31671141)
文摘Electroencephalography(EEG)is a powerful tool for investigating the brain bases of human psychological processes non-invasively.Some important mental functions could be encoded by resting-state EEG activity;that is,the intrinsic neural activity not elicited by a specific task or stimulus.The extraction of informative features from resting-state EEG requires complex signal processing techniques.This review aims to demystify the widely used resting-state EEG signal processing techniques.To this end,we first offer a preprocessing pipeline and discuss how to apply it to resting-state EEG preprocessing.We then examine in detail spectral,connectivity,and microstate analysis,covering the oft-used EEG measures,practical issues involved,and data visualization.Finally,we briefly touch upon advanced techniques like nonlinear neural dynamics,complex networks,and machine learning.
