"Demystifying signal processing techniques to extract task- related EEG" by Libo Zhang, Zhenjiang Li et al.

Article Title

Demystifying signal processing techniques to extract task- related EEG responses for psychologists

Authors

Libo Zhang, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing 100101, China;Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
Zhenjiang Li, School of Psychology, Jiangxi Normal University, Nanchang 330022, China
Fengrui Zhang, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing 100101, China;Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
Ruolei Gu, Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China;CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100101, China
Weiwei Peng, College of Psychology and Sociology, Shenzhen University, Shenzhen 518060, China
Li Hu, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing 100101, China;Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China

Keywords

task-related EEG, preprocessing, time domain analysis, time-frequency analysis

Abstract

To investigate neural mechanisms of human psychology with electroencephalography (EEG), we typically instruct participants to perform certain tasks with simultaneous recording of their brain activities. The identification of task-related EEG responses requires data analysis techniques that are normally different from methods for analyzing resting-state EEG. This review aims to demystify commonly used signal processing methods for identifying task-related EEG activities for psychologists. To achieve this goal, we first highlight the different preprocessing pipelines between task-related EEG and resting-state EEG. We then discuss the methods to extract and visualize event-related potentials in the time domain and event-related oscillatory responses in the time-frequency domain. Potential applications of advanced techniques such as source analysis and single-trial analysis are briefly discussed. We conclude this review with a short summary of task-related EEG data analysis, recommendations for further study, and caveats we should take heed of.

DOI

https://doi.org/10.26599/BSA.2020.9050018

Publisher

Tsinghua University Press

Recommended Citation

Libo Zhang, Zhenjiang Li, Fengrui Zhang, Ruolei Gu, Weiwei Peng, Li Hu. Demystifying signal processing techniques to extract task- related EEG responses for psychologists. Brain Science Advances 2020, 6(3): 171-188.

Download

Request a Copy

Included in

Biomedical Engineering and Bioengineering Commons, Nervous System Diseases Commons, Neurology Commons, Neuroscience and Neurobiology Commons, Neurosciences Commons, Neurosurgery Commons

COinS