A5023574333- EEG and Brain-Computer Interfaces
- Neuroscience and Neural Engineering
- Neural dynamics and brain function
- Muscle activation and electromyography studies
- Advanced Memory and Neural Computing
- Neural and Behavioral Psychology Studies
- Functional Brain Connectivity Studies
- Emotion and Mood Recognition
- Gaze Tracking and Assistive Technology
- Heart Rate Variability and Autonomic Control
- Electrical and Bioimpedance Tomography
- Photoacoustic and Ultrasonic Imaging
- Peptidase Inhibition and Analysis
- Microwave Imaging and Scattering Analysis
- Cancer-related molecular mechanisms research
- Human Pose and Action Recognition
- Protease and Inhibitor Mechanisms
- Neuroblastoma Research and Treatments
- Robotic Locomotion and Control
- Sleep and Work-Related Fatigue
- Blind Source Separation Techniques
- Circular RNAs in diseases
- Transcranial Magnetic Stimulation Studies
- Nanoplatforms for cancer theranostics
- Ultrasonics and Acoustic Wave Propagation
Tianjin Medical University
2019-2025
Tianjin University
2016-2025
Tianjin Medical University Cancer Institute and Hospital
2025
National Clinical Research
2025
Yunnan University of Finance And Economics
2024
Second Xiangya Hospital of Central South University
2018-2024
Central South University
2018-2024
Huanggang Normal University
2023
Tianjin International Joint Academy of Biomedicine
2018-2023
Sinopec (China)
2023
Abstract Although recent brain-computer interface (BCI) studies have achieved tremendous progress in increasing communication commands, measuring the level of sub-microvolt EEG amplitude, and so on, it is still challenging to make leap from lab marketplace, which hampers BCI applicability. This article highlights two formidable challenges that community should pay more attention to. Then we further analyze reasons summarize several important research topics are expected overcome these...
Real-time detection of cellular senescence remains a clinical challenge. Here, we aimed to develop positron emission tomography (PET) imaging probe targeting senescence-associated β-galactosidase (SA-β-Gal), the most widely used biomarker senescence, and investigate its performance for real-time in vivo quantitative senescence. A stable PET agent [68Ga]Ga-BGal was obtained with high labeling yield (90.0 ± 4.3%) radiochemical purity (>95%). displayed sensitivity specificity β-Gal both vitro...
Many studies have verified that there is an interaction between physical activities and mental fatigue. However, few are focused on the effect of This study was to analyze states fatigue based electroencephalography (EEG) investigate how affect Fourteen healthy participants participated in experiment including a 2-back task (the control) same with cycling simultaneously (physical-mental task). Each consisted three 20 min fatigue-inducing sessions repeatedly (mental for tasks or plus...
Objective. We proposed a brain–computer interface (BCI) based visual-haptic neurofeedback training (NFT) by incorporating synchronous visual scene and proprioceptive electrical stimulation feedback. The goal of this work was to improve sensorimotor cortical activations classification performance during motor imagery (MI). In addition, their correlations brain network patterns were also investigated respectively. Approach. 64-channel electroencephalographic (EEG) data recorded in nineteen...
Motor imagery (MI), sharing similar neural representations to motor execution, is regarded as a window investigate the cognitive processes. However, in comparison simple limb imagery, significantly less work has been reported on brain oscillatory patterns induced by compound which involves several parts of limbs. This study aims differences electroencephalogram (EEG) well process between and imagery. Ten subjects participated experiment involving three tasks (left hand, right feet) (both...
Mental workload (MW)-based adaptive system has been found to be an effective approach enhance the performance of human-machine interaction and avoid human error caused by overload. However, MW estimated from spontaneously generated electroencephalogram (EEG) was task-specific. In existing studies, EEG-based classifier can work well under task used train (within-task) but crash completely when classify a that is similar not included in training data (cross-task). The possible causes have...
Alzheimer's disease (AD) is a serious neurodegenerative disorder characterized by deficits of working memory, attention, language and many other cognitive functions. Although different stages the are relatively well clinical criteria, stage-specific pathological changes in brain remain poorly understood, especially at level large-scale functional networks. In this study, we aimed to characterize potential disruptions networks based on sample including amnestic mild cognition impairment...
Objective. We proposed a novel simultaneous hybrid brain–computer interface (BCI) by incorporating electrical stimulation into motor imagery (MI) based BCI system. The goal of this study was to enhance the overall performance an MI-based BCI. In addition, brain oscillatory pattern in task also investigated. Approach. 64-channel electroencephalographic (EEG) data were recorded during MI, selective attention (SA) and tasks fourteen healthy subjects. task, subjects performed MI with which...
A number of electroencephalographic (EEG) studies have reported on event-related desynchronization/synchronization (ERD/ERS) during active movements, passive and the movements induced by functional electrical stimulation (FES). However, quantitative differences in ERD values affected frequency bands associated with lower limb not been discussed. The goal this paper was to quantitatively compare patterns movement, movement FES-induced limb. 64-channel EEG signals were recorded investigate...
A number of studies have been done on movement imagination motor sequences with a single limb. However, brain oscillatory patterns induced by involving multiple limbs not reported in recent years. The goal the present study was to verify feasibility application brain-computer interface (BCI) systems based imagery (MI). changes EEG and inter-influence between movements associated were also investigated. experiment, where 12 healthy subjects participated, involved one sequence limb three kinds...
Metal–organic frameworks (MOFs) are composed of metal ions/clusters and organic ligands, showing accessible functional sites, ultra-high porosity, large specific surface area. Tricopper benzene-1,3,5-tricarboxylate (CuBTC), as a three-dimensional MOF architecture with an open robust micro-/nanoconfiguration, possesses excellent catalytic performance superior electric conductivity compared to bulk MOF. In this study, CuBTC was used substrate on which molybdenum disulfide (MoS2) in situ...
Altered resting-state EEG activity has been repeatedly reported in major depressive disorder (MDD), but no robust biomarkers have identified until now. The poor consistency of alterations may be due to inconsistent resting conditions; that is, the eyes-open (EO) and eyes-closed (EC) conditions. Here, we explored effect EO EC conditions on for discriminating MDD subjects healthy control (HC) subjects. data were recorded from 30 first-episode 26 HC during an 8-min session. features extracted...
Expanding the application possibilities of brain-computer interfaces (BCIs) is possible through their implementation in mixed reality (MR) environments. However, visual stimuli are displayed against a realistic scene MR environment, which degrades BCI performance. The purpose this study was to optimize stimulus colors order improve MR-BCI system's In 10-command SSVEP-BCI deployed. Various and background for system were tested optimized offline online experiments. Color contrast ratios (CCRs)...
Abstract Background To evaluate the efficacy and safety of aumolertinib combined with pemetrexed carboplatin as first-line treatment in advanced non-small-cell lung cancer (NSCLC) patients epidermal growth factor receptor (EGFR) mutation (exon 19 deletion or exon 21 L858R). Methods In phase II trial (NCT04646824), received 110 mg once daily plus (500 mg/m2) (area under curve = 5) every 3 weeks for 4 cycles, followed by maintenance (110 daily) mg/m2 weeks). The primary endpoint was...
Because of a large amount arithmetic in the standard digital lock-in detection, high performance processor is needed to implement algorithm real time. This paper presents novel that integrates oversampling and high-speed detection. The sets sampling frequency as whole-number multiple four input signal frequency, then uses common downsampling technology lower times frequency. It could effectively remove noise interference improve detection accuracy. After phase sensitive detector implemented....
Motor imagery-based brain-computer interface (MI-BCI) controlling functional electrical stimulation (FES) is promising for disabled patients to restore their motor functions. However, it remains unclear how much the BCI part can contribute coupling between brain and muscle. Specifically, whether enhance cerebral activation training? Here, we investigate electroencephalographic hemodynamic responses MI-BCI-FES training MI-FES training, respectively. Twelve healthy subjects were recruited in...
As electroencephalography (EEG) is nonlinear and nonstationary in nature, an imperative challenge for brain-computer interfaces (BCIs) to construct a robust classifier that can survive long time monitor the brain state stably. To this end, research aims improve BCI performance by incorporation of electroencephalographic cerebral hemodynamic patterns. A motor imagery (MI)-BCI based visual-haptic neurofeedback training (NFT) experiment was designed with sixteen participants. EEG functional...
Poststroke depression (PSD) is one of the most common emotional disorders affecting post-stroke patients. However, neurophysiological mechanism remains elusive. This study was aimed to relationship between complexity neural electrical activity and PSD.Resting state eye-closed electroencephalogram (EEG) signals 16 electrodes were recorded in 21 ischemic poststroke patients, 22 non-depression (PSND) patients 15 healthy controls (CONT). Lempel-Ziv Complexity (LZC) used evaluate changes EEG PSD...
The brain activity pattern can be presented by Electroencephalogram (EEG), which is considered as an alternative to traditional biometrics. Researchers have done conducted studies on EEG-based identification, while few of them discussed the effect time robustness very important for identification system. In this study, we compared and analyzed two runs EEG signals resting-state eye open/closed (REO/REC). intervals between were at least weeks. Here are 17 participants joined in study. Each...