A5062062161- EEG and Brain-Computer Interfaces
- Neural and Behavioral Psychology Studies
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Heart Rate Variability and Autonomic Control
- Motor Control and Adaptation
- Neuroscience and Neural Engineering
- Attention Deficit Hyperactivity Disorder
- Hearing Loss and Rehabilitation
- Neuroscience and Music Perception
- Hearing, Cochlea, Tinnitus, Genetics
- Multisensory perception and integration
- Muscle activation and electromyography studies
- Mental Health Research Topics
- Visual perception and processing mechanisms
- Shoulder Injury and Treatment
- Balance, Gait, and Falls Prevention
- Psychosomatic Disorders and Their Treatments
- Non-Invasive Vital Sign Monitoring
- Cognitive Abilities and Testing
- Sport Psychology and Performance
- Psychology of Moral and Emotional Judgment
- Cerebral Palsy and Movement Disorders
- Cognitive Functions and Memory
- Elbow and Forearm Trauma Treatment
Shanghai Normal University
2017-2025
University of Macau
2011-2018
Tianjin University
2008
Abstract Neurofeedback has begun to attract the attention and scrutiny of scientific medical mainstream. Here, neurofeedback researchers present a consensus-derived checklist that aims improve reporting experimental design standards in field.
Latest target recognition methods that are equipped with learning from the subject's calibration data, represented by extended canonical correlation analysis (eCCA) and ensemble task-related component (eTRCA), can achieve extra high performance in steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs), however their deteriorate drastically if trials insufficient. This paper develops a new scheme to learn limited data.A across multiple stimuli is proposed for...
Individuals differ in their ability to learn how regulate the brain activity by neurofeedback. This study aimed investigate whether resting alpha can predict learning A total of 25 subjects performed 20 sessions individualized neurofeedback and was assessed three indices respectively: training parameter changes between two periods, within a short period across whole time. It found that amplitude measured before had significant positive correlations with all could be used as predictor for...
Minimum energy combination (MEC) and canonical correlation analysis (CCA) are widely used for steady-state visual evoked potential (SSVEP) based brain computer interface (BCI), since both approaches have satisfactory performance. The purpose of this paper is to provide a guideline on choice detection method, through comparison the performance two from simulation data real SSVEP data. experiment results show that CCA has lower deviation, higher accuracy signal noise ratio than MEC.
Objective. Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) can provide relatively easy, reliable and high speed communication. However, the performance is still not satisfactory, especially in some users who are able to generate strong enough SSVEP signals. This work aims strengthen a user's by alpha down-regulating neurofeedback training (NFT) consequently improve of user using SSVEP-based BCIs. Approach. An experiment with two steps was designed...
Neurofeedback (NF) training has been proved beneficial in cognitive and behavioral performance improvement healthy individuals. Unfortunately, the NF learning ability shows large individual difference a number of studies there are even some non-learners who cannot successfully self-regulate their brain activity by NF. This study aimed to find out neurophysiological predictor up-regulating beta-1 (15-18 Hz)/theta (4-7 Hz) ratio (BTR) young adults. Eighteen volunteers finished five sessions...
Previous literature on shooting performance neurofeedback training (SP-NFT) to enhance usually focused changes in behavioral indicators, but research the physiological features of SP-NFT is lacking. To explore effects trainability and neuroplasticity, we conducted a study which 45 healthy participants were randomly divided into three groups: based sensory-motor rhythm C3, Cz C4 (SMR group), alpha T3 T4 (Alpha no NFT (control group). The was performed for 6 sessions 3 weeks. Before after...
Stroke is a debilitating neurological condition which usually results in the abnormal electrical brain activity and impairment of sensation, motor, or cognition functions. In this context, neurofeedback training, i.e., non-invasive relatively low cost technique that contributes to neuroplasticity behavioral performance, might be promising for stroke rehabilitation. We intended explore training on 63-year-old male patient 77-year-old female with chronic stroke. Both them had suffered from an...
Neurofeedback training, which enables the trainee to learn self-control of EEG activity interest based on online feedback, has demonstrated benefits cognitive and behavioral performance. Nevertheless, as a core mechanism neurofeedback, learning regulation (i.e., learning) not been well understood. Moreover, substantial number non-learners who fail achieve successful have often reported. This study investigated in alpha down-regulation aiming better understand early predict...
The electroencephalograph (EEG) microstate is a method used to describe the characteristics of EEG signal through brain scalp electrode potential's spatial distribution; as such, it reflects changes in brain's functional state. EEGs 13 elite archers from China's national archery team and expert provincial were recorded under alpha rhythm during resting state (with closed eyes) aiming. By analyzing differences between parameters correlation these with performance, well by combining our...
Schizophrenia is a chronic and devastating brain disorder with ongoing cognitive, behavioral, emotional deteriorated functions. Neurofeedback training, which enables the individuals to regulate their activity using real-time feedback loop, increasingly investigated as potential alternative intervention for schizophrenia. This study aimed explore effect of short but intensive neurofeedback training schizophrenic patients difficulty long-time training. A middle-aged woman schizophrenia...
Implicit motor learning, which is a non-conscious form of learning characterized by performance improvement with practice, plays an essential role in various daily activities. Earlier study using neurofeedback training (NFT), type brain-computer interaction that enables the user to learn self-regulating his/her own brain activity, demonstrated down-regulating alpha over primary cortex NFT could immediately facilitate implicit relatively simple task. However, detailed effects on EEG and due...
Studies have shown an association between sensorimotor α-oscillation and pain perception. It suggests the potential use of neurofeedback (NFB) training for modulation through modifying α-oscillation. Here, a single-session NFB protocol targeted on increasing α-oscillations was applied to forty-five healthy participants. Pain thresholds nociceptive laser stimulations ratings (intensity unpleasantness) identical painful were assessed immediately before after training. Participants had larger...
Human alpha oscillation (7-13 Hz) has been extensively studied over the years for its connection with cognition. The individual frequency (IAF), defined as that provides highest power in band, shows a positive correlation cognitive processes. modulation of activities accomplished through various approaches aimed at improving performance. However, very few studies focused on direct IAF by shifting peak frequency, and understanding remains highly limited. In this study, IAFs healthy young...
The paper presents a case report of the therapy by neurofeedback training chronic female schizophrenia outpatient. purpose was to enhance cognition, memory and behavioral performance. We used an intensive approach. All sessions were performed during 4 consecutive days. results showed that patient learnt increase individual alpha amplitude simultaneously decrease beta2 (20-30 Hz) at P4 site active state over sessions. increased 74.73% decreased 13.73%. short term enhanced after training. Her...
The steady-state visual evoked potential (SSVEP)-based brain computer interface (BCI) has demonstrated relatively high performance with little user training, and thus becomes a popular BCI paradigm. However, due to the deterioration over time, its robustness reliability appear not sufficient allow non-expert use outside laboratory. It would be helpful study what happens behind decreasing tendency of performance.This paper explores changes networks electrooculography (EOG) signals investigate...
This study was aimed at delineating and comparing differences in clinical characteristics brain activity between patients with low- high-frequency tinnitus (LFT HFT, respectively) using high-density electroencephalography (EEG). enrolled 3217 subjective who were divided into LFT (frequency < 4000 Hz) HFT (≥4000 groups. Data regarding medical history, Tinnitus Handicap Inventory, matching, hearing threshold collected from all patients. Twenty 20 volunteers subjected to 256-channel EEG,...