Differentiation of schizophrenia by combining the spatial EEG brain network patterns of rest and task P300
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 …
biomarker of risk for schizophrenia. However, the brain activity (ie, P300 amplitude) during …
Altered default mode network causal connectivity patterns in autism spectrum disorder revealed by Liang information flow analysis
Autism spectrum disorder (ASD) is a pervasive developmental disorder with severe
cognitive impairment in social communication and interaction. Previous studies have …
cognitive impairment in social communication and interaction. Previous studies have …
A survey of brain network analysis by electroencephalographic signals
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 …
differentiate the alterations from comparative networks. The alterations account for time …
[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 …
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 …
variability deepens our knowledge of the event, and scope for its potential applications …
Predicting individual decision-making responses based on the functional connectivity of resting-state EEG
Objective. Despite increasing evidence revealing the relationship between task-related
brain activity and decision-making, the association between resting-state functional …
brain activity and decision-making, the association between resting-state functional …
Identification and analysis of autism spectrum disorder via large‐scale dynamic functional network connectivity
Autism spectrum disorder (ASD) is a prevalent neurodevelopmental disorder with severe
cognitive impairment. Several studies have reported that brain functional network …
cognitive impairment. Several studies have reported that brain functional network …
L1-norm based time-varying brain neural network and its application to dynamic analysis for motor imagery
Objective. Electroencephalogram (EEG)-based motor imagery (MI) brain-computer interface
offers a promising way to improve the efficiency of motor rehabilitation and motor skill …
offers a promising way to improve the efficiency of motor rehabilitation and motor skill …
Constructing large-scale cortical brain networks from scalp EEG with Bayesian nonnegative matrix factorization
A large-scale network provides a high hierarchical level for understanding the adaptive
adjustment of the human brain during cognition processes. Since high spatial resolution is …
adjustment of the human brain during cognition processes. Since high spatial resolution is …
Analysis of dynamic network reconfiguration in adults with attention-deficit/hyperactivity disorder based multilayer network
Attention-deficit/hyperactivity disorder (ADHD) has been reported exist abnormal topology
structure in the brain network. However, these studies often treated the brain as a static …
structure in the brain network. However, these studies often treated the brain as a static …
Large-scale cortical network analysis and classification of MI-BCI tasks based on Bayesian nonnegative matrix factorization
Motor imagery (MI) is a high-level cognitive process that has been widely applied to clinical
rehabilitation and brain-computer interfaces (BCIs). However, the decoding of MI tasks still …
rehabilitation and brain-computer interfaces (BCIs). However, the decoding of MI tasks still …