[HTML][HTML] Understanding psychogenic nonepileptic seizures—phenomenology, semiology and the integrative cognitive model

M Reuber, RJ Brown - Seizure, 2017 - Elsevier
Abstract Psychogenic Nonepileptic Seizures (PNES) are one of the commonest differential
diagnoses of epilepsy. This paper provides a narrative review of what has been learnt in the …

EEG based emotion recognition by combining functional connectivity network and local activations

P Li, H Liu, Y Si, C Li, F Li, X Zhu… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Objective: Spectral power analysis plays a predominant role in electroencephalogram-
based emotional recognition. It can reflect activity differences among multiple brain regions …

Investigating EEG-based functional connectivity patterns for multimodal emotion recognition

X Wu, WL Zheng, Z Li, BL Lu - Journal of neural engineering, 2022 - iopscience.iop.org
Objective. Previous studies on emotion recognition from electroencephalography (EEG)
mainly rely on single-channel-based feature extraction methods, which ignore the functional …

Sustainable development of electroencephalography materials and technology

L Xiong, N Li, Y Luo, L Chen - SusMat, 2024 - Wiley Online Library
Electroencephalogram (EEG) is one of the most important bioelectrical signals related to
brain activity and plays a crucial role in clinical medicine. Driven by continuously expanding …

MATLAB toolboxes for reference electrode standardization technique (REST) of scalp EEG

L Dong, F Li, Q Liu, X Wen, Y Lai, P Xu… - Frontiers in …, 2017 - frontiersin.org
Reference electrode standardization technique (REST) has been increasingly
acknowledged and applied as a re-reference technique to transform an actual multi …

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 …

Efficient resting-state EEG network facilitates motor imagery performance

R Zhang, D Yao, PA Valdés-Sosa, F Li… - Journal of neural …, 2015 - iopscience.iop.org
Objective. Motor imagery-based brain–computer interface (MI-BCI) systems hold promise in
motor function rehabilitation and assistance for motor function impaired people. But the …

The time-varying networks in P300: a task-evoked EEG study

F Li, B Chen, H Li, T Zhang, F Wang… - … on Neural Systems …, 2016 - ieeexplore.ieee.org
P300 is an important event-related potential that can be elicited by external visual, auditory,
and somatosensory stimuli. Various cognition-related brain functions (ie, attention …

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 …