[HTML][HTML] Which reference should we use for EEG and ERP practice?

D Yao, Y Qin, S Hu, L Dong, ML Bringas Vega… - Brain topography, 2019 - Springer
Which reference is appropriate for the scalp ERP and EEG studies? This unsettled problem
still inspires unceasing debate. The ideal reference should be the one with zero or constant …

Modulating gamma oscillations promotes brain connectivity to improve cognitive impairment

C Liu, T Han, Z Xu, J Liu, M Zhang, J Du… - Cerebral …, 2022 - academic.oup.com
Dementia causes a substantial global economic burden, but effective treatment is lacking.
Recently, studies have revealed that gamma-band waves of electrical brain activity …

[HTML][HTML] High gamma band EEG closely related to emotion: evidence from functional network

K Yang, L Tong, J Shu, N Zhuang, B Yan… - Frontiers in human …, 2020 - frontiersin.org
High-frequency electroencephalography (EEG) signals play an important role in research on
human emotions. However, the different network patterns under different emotional states in …

Differentiation of schizophrenia by combining the spatial EEG brain network patterns of rest and task P300

F Li, J Wang, Y Liao, C Yi, Y Jiang, Y Si… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
The P300 is regarded as a psychosis endophenotype of schizophrenia and a putative
biomarker of risk for schizophrenia. However, the brain activity (ie, P300 amplitude) during …

The dynamic brain networks of motor imagery: time-varying causality analysis of scalp EEG

F Li, W Peng, Y Jiang, L Song, Y Liao, C Yi… - … journal of neural …, 2019 - World Scientific
Motor imagery (MI) requires subjects to visualize the requested motor behaviors, which
involves a large-scale network that spans multiple brain areas. The corresponding cortical …

Bacomics: a comprehensive cross area originating in the studies of various brain–apparatus conversations

D Yao, Y Zhang, T Liu, P Xu, D Gong, J Lu, Y Xia… - Cognitive …, 2020 - Springer
The brain is the most important organ of the human body, and the conversations between
the brain and an apparatus can not only reveal a normally functioning or a dysfunctional …

Different decision-making responses occupy different brain networks for information processing: a study based on EEG and TMS

Y Si, X Wu, F Li, L Zhang, K Duan, P Li, L Song… - Cerebral …, 2019 - academic.oup.com
This study used large-scale time-varying network analysis to reveal the diverse network
patterns during the different decision stages and found that the responses of rejection and …

A survey of brain network analysis by electroencephalographic signals

C Luo, F Li, P Li, C Yi, C Li, Q Tao, X Zhang, Y Si… - Cognitive …, 2022 - Springer
Brain network analysis is one efficient tool in exploring human brain diseases and can
differentiate the alterations from comparative networks. The alterations account for time …

[HTML][HTML] Predicting individual decision-making responses based on single-trial EEG

Y Si, F Li, K Duan, Q Tao, C Li, Z Cao, Y Zhang… - NeuroImage, 2020 - Elsevier
Decision-making plays an essential role in the interpersonal interactions and cognitive
processing of individuals. There has been increasing interest in being able to predict an …

[HTML][HTML] Inter-subject P300 variability relates to the efficiency of brain networks reconfigured from resting-to task-state: evidence from a simultaneous event-related …

F Li, Q Tao, W Peng, T Zhang, Y Si, Y Zhang, C Yi… - NeuroImage, 2020 - Elsevier
The P300 event-related potential (ERP) varies across individuals, and exploring this
variability deepens our knowledge of the event, and scope for its potential applications …