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Time-varying EEG networks of major depressive disorder during facial emotion tasks
Time-varying EEG networks of major depressive disorder during facial emotion tasks
Depression is a mental disease involved in emotional and cognitive impairments. Neuroimaging studies have found abnormalit...
Deep-learning-optimized microstate network analysis for early Parkinson’s disease with mild cognitive impairment
Deep-learning-optimized microstate network analysis for early Parkinson’s disease with mild cognitive impairment
Graph-theory-based topological impairment of the whole-brain network has been verified to be one of the characteristics of...
Effect of adult hippocampal neurogenesis on pattern separation and its applications
Effect of adult hippocampal neurogenesis on pattern separation and its applications
Adult hippocampal neurogenesis (AHN) is considered essential in memory formation. The dentate gyrus neural network contain...
Emotional reactivity and its impact on neural circuitry for attention-emotion interaction through regression-based machine learning model
Emotional reactivity and its impact on neural circuitry for attention-emotion interaction through regression-based machine learning model
Attentional paradigm can have a significant influence on the processing and experience of positive and negative emotions. ...
An improved CapsNet based on data augmentation for driver vigilance estimation with forehead single-channel EEG
An improved CapsNet based on data augmentation for driver vigilance estimation with forehead single-channel EEG
Various studies have shown that it is necessary to estimate the drivers’ vigilance to reduce the occurrence of traff...
Motor imagery decoding using source optimized transfer learning based on multi-loss fusion CNN
Motor imagery decoding using source optimized transfer learning based on multi-loss fusion CNN
Transfer learning is increasingly used to decode multi-class motor imagery tasks. Previous transfer learning ignored the o...
Lattice 123 pattern for automated Alzheimer’s detection using EEG signal
Lattice 123 pattern for automated Alzheimer’s detection using EEG signal
This paper presents an innovative feature engineering framework based on lattice structures for the automated identificati...
Dynamic functional connectivity correlates of mental workload
Dynamic functional connectivity correlates of mental workload
Tasks with high mental workload often involve higher cognitive functions of the human brain and complex information flow i...
Vanishing point estimation inspired by oblique effect in a field environment
Vanishing point estimation inspired by oblique effect in a field environment
Estimating a vanishing point (VP) is a core problem for understanding three-dimensional scenes and autonomous navigation. ...
Brain state and dynamic transition patterns of motor imagery revealed by the bayes hidden markov model
Brain state and dynamic transition patterns of motor imagery revealed by the bayes hidden markov model
Motor imagery (MI) is a high-level cognitive process that has been widely applied to brain-computer inference (BCI) and mo...
Predicting an EEG-Based hypnotic time estimation with non-linear kernels of support vector machine algorithm
Predicting an EEG-Based hypnotic time estimation with non-linear kernels of support vector machine algorithm
Our ability to measure time is vital for daily life, technology use, and even mental health; however, separating pure time...
Vocal tasks-based EEG and speech signal analysis in children with neurodevelopmental disorders: a multimodal investigation
Vocal tasks-based EEG and speech signal analysis in children with neurodevelopmental disorders: a multimodal investigation
Neurodevelopmental disorders (NDs) often hamper multiple functional prints of a child brain. Despite several studies on th...
EEG resting state alpha dynamics predict an individual’s vulnerability to auditory hallucinations
EEG resting state alpha dynamics predict an individual’s vulnerability to auditory hallucinations
Task-free brain activity exhibits spontaneous fluctuations between functional states, characterized by synchronized activa...
Resting state EEG microstate profiling and a machine-learning based classifier model in epilepsy
Resting state EEG microstate profiling and a machine-learning based classifier model in epilepsy
Electroencephalography-based (EEG) microstate analysis is a promising and widely studied method in which spontaneous cereb...
Assessment of rTMS treatment effects for methamphetamine addiction based on EEG functional connectivity
Assessment of rTMS treatment effects for methamphetamine addiction based on EEG functional connectivity
Methamphetamine (MA) addiction leads to impairment of neural communication functions in the brain, and functional connecti...
Multiple-source distribution deep adaptive feature norm network for EEG emotion recognition
Multiple-source distribution deep adaptive feature norm network for EEG emotion recognition
Electroencephalogram (EEG) emotion recognition plays an important role in human–computer interaction, and a higher r...
Reliable electrocortical dynamics of target-directed pass-kicks
Reliable electrocortical dynamics of target-directed pass-kicks
Football is one of the most played sports in the world and kicking with adequate accuracy increases the likelihood of winn...
The design and implementation of multi-character classification scheme based on EEG signals of visual imagery
The design and implementation of multi-character classification scheme based on EEG signals of visual imagery
In visual-imagery-based brain–computer interface (VI-BCI), there are problems of singleness of imagination task and ...
Acute and chronic effects of exercise intensity on cognitive functions of fastball athletes
Acute and chronic effects of exercise intensity on cognitive functions of fastball athletes
Exercise induced Cognitive Function is an area needed in competitive fast ball sports that has stimulated interests of res...
Task demand modulates the effects of reward learning on emotional stimuli
Task demand modulates the effects of reward learning on emotional stimuli
The current study used event-related potentials (ERPs) to examine the ability of task demand in modulating the effect of r...
Linear and nonlinear analysis of multimodal physiological data for affective arousal recognition
Linear and nonlinear analysis of multimodal physiological data for affective arousal recognition
In this work we intend to design a system to classify human arousal at five levels (i.e., five stress levels) using four p...
Coherence-based channel selection and Riemannian geometry features for magnetoencephalography decoding
Coherence-based channel selection and Riemannian geometry features for magnetoencephalography decoding
Magnetoencephalography (MEG) records the extremely weak magnetic fields on the surface of the scalp through highly sensiti...
Self-selected versus imposed running intensity and the acute effects on mood, cognition, and (a)periodic brain activity
Self-selected versus imposed running intensity and the acute effects on mood, cognition, and (a)periodic brain activity
The beneficial psychological effects of exercise might be explained by self-determination theory and autonomy. However, th...
Multiple time delay induced Hopf bifurcation of a cortex - basal ganglia model for Parkinson’s Disease
Multiple time delay induced Hopf bifurcation of a cortex - basal ganglia model for Parkinson’s Disease
Exploring the origin of beta - band oscillation in the cortex - basal ganglia model plays an important role in understandi...
Black-white hole pattern: an investigation on the automated chronic neuropathic pain detection using EEG signals
Black-white hole pattern: an investigation on the automated chronic neuropathic pain detection using EEG signals
Electroencephalography (EEG) signals provide information about the brain activities, this study bridges neuroscience and m...
Unraveling the dynamics of a flux coupled Chialvo neurons and the existence of extreme events
Unraveling the dynamics of a flux coupled Chialvo neurons and the existence of extreme events
To illustrate the occurrences of extreme events in the neural system we consider a pair of Chialvo neuron maps. Importantl...
EEG emotion recognition based on an innovative information potential index
EEG emotion recognition based on an innovative information potential index
The recent exceptional demand for emotion recognition systems in clinical and non-medical applications has attracted the a...