A5100424963- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neuroscience and Neural Engineering
- Stroke Rehabilitation and Recovery
- Neural dynamics and brain function
- Muscle activation and electromyography studies
- Transcranial Magnetic Stimulation Studies
- Parkinson's Disease Mechanisms and Treatments
- Advanced Mathematical Modeling in Engineering
- Neurological disorders and treatments
- Nonlinear Partial Differential Equations
- Botulinum Toxin and Related Neurological Disorders
- Heart Rate Variability and Autonomic Control
- Intracranial Aneurysms: Treatment and Complications
- Advanced Neuroimaging Techniques and Applications
- Virtual Reality Applications and Impacts
- Dementia and Cognitive Impairment Research
- Cerebrovascular and Carotid Artery Diseases
- ECG Monitoring and Analysis
- Peripheral Nerve Disorders
- Cerebral Palsy and Movement Disorders
- Acute Ischemic Stroke Management
- Nonlinear Differential Equations Analysis
- Peripheral Neuropathies and Disorders
- Hereditary Neurological Disorders
Tsinghua University
2004-2025
Jiangsu University
2025
First People's Hospital of Kunshan
2025
Beijing Tsinghua Chang Gung Hospital
2021-2024
State Key Laboratory of Tribology
2019-2024
West China Hospital of Sichuan University
2024
Johns Hopkins University
2024
Sichuan University
2024
Qingdao University
2020-2023
Lanzhou University Second Hospital
2023
Achilles tendon is a motor organ that prone to tissue adhesion during its repair process after rupture. Therefore, developing motion-responsive and anti-adhesive biomaterials an important need for the of Here, we report injectable lubricative hydrogel (ILH) based on hydration lubrication mechanism, which also sol-gel reversible transmission. The performance achieved by zwitterionic polymers as previously proved, transmission enabled dynamic disulfide bonds. Firstly, ILH was proved be...
Human cooperation relies on key features of social interaction in order to reach desirable outcomes. Similarly, human–robot may benefit from integration with human–human factors. In this paper, we aim investigate brain-to-brain coupling during motor imagery (MI)-based brain–computer interface (BCI) training using eye-contact and hand-touch interaction. Twelve pairs friends (experimental group) 10 strangers (control were recruited for MI-based BCI tests concurrent electroencephalography (EEG)...
Recently, subjective cognitive decline (SCD) has been described as the earliest at-risk state of Alzheimer's disease (AD), and drawn attention investigators. Studies suggested that SCD-community individuals may constitute a more vulnerable population than SCD-clinic patients, therefore, to investigate early changes brain provide guidance for treatment disease. We sought structure functional connectivity alternation hippocampus in with SCD recruited from community using structural...
Spontaneous carotid artery dissections (sCADs) are the common cause of stroke in middle-aged and young people. There is still a lack clinical classification to guide management sCAD. We reviewed our experience with 179 patients sCAD proposed new for prognostic therapeutic significance.
Structural and functional abnormalities have been extensively reported in major depressive disorder, but possible changes cortical folding not yet explored this disorder. This study investigated issue disorder using the local gyrification index. High-resolution magnetic resonance imaging was performed 18 patients with first-episode age-matched sex-matched healthy individuals. The index applied to detect brain areas abnormal Compared participants, showed significantly decreased bilateral...
Stroke is a world-leading disease for causing disability. Brain-computer interaction (BCI) training has been proved to be promising method in facilitating motor recovery. However, due differences each patient's neural-clinical profile, the potential of recovery different patients can vary significantly by conducting BCI training, which remains major problem clinical rehabilitation practice. To address this issue, objective study prognosticate outcome using state electroencephalographic (EEG)...
Abstract Background The brain’s dynamic spontaneous neural activity and functional connectivity (dFC) are both important in supporting cognition, but how these two types of brain dynamics evolve co-evolve subjective cognitive decline (SCD) mild impairment (MCI) remain unclear. aim the present study was to investigate recurrent concurrent patterns states correlated with decline. Methods analyzed resting-state magnetic resonance imaging data from 62 SCD patients, 75 MCI 70 healthy controls...
Since the underlying mechanisms of neurorehabilitation are not fully understood, prognosis stroke recovery faces significant difficulties. Recovery outcomes can vary when undergoing different treatments; however, few models have been developed to predict patient toward multiple treatments. In this study, we aimed investigate potential predicting a treatment's outcome using deep learning model for another treatment. A total 15 survivors were recruited in and their clinical physiological data...
The use of oral agents that can modify the gut microbiota (GM) could be a novel preventative or therapeutic option for Parkinson's disease (PD). Maslinic acid (MA), pentacyclic triterpene with GM-dependent biological activities when it is taken orally, has not yet been reported to effective against PD. present study found both low and high dose MA treatment significantly prevented dopaminergic neuronal loss in classical chronic PD mouse model by ameliorating motor functions improving...
Predicting the potential for recovery of motor function in stroke patients who undergo specific rehabilitation treatments is an important and major challenge. Recently, electroencephalography (EEG) has shown helping to determine relationship between cortical neural activity recovery. EEG recorded different states could more accurately predict than single-state recordings. Here, we design a multi-state (combining eyes closed, EC, open, EO) fusion network predicting with after...
In the last decade, technology-assisted stroke rehabilitation has been focus of research. Electroencephalogram- (EEG-) based brain-computer interface (BCI) a great potential for motor in patients since closed loop between intention and actual movement established by BCI can stimulate neural pathways control. Due to deficits brain, expression may shift other brain regions during even after reorganization. The objective this paper was study event-related desynchronization (ERD) topography...
Individuals who rapidly exposed to high-altitude environments are at risk of developing acute mountain sickness, which can inhibit the respiratory center or cause upper airway obstruction, leading sleep apnea (SA). SA reduces oxygen saturation (SPO2) during sleep, not only impairs quality but affects cognitive and memory function. Positive pressure ventilation helps alleviate SA, existing devices prone failure high altitudes unable realize real-time intervention based on user's physiological...
Studying the therapeutic effects of focal vibration (FV) in neurorehabilitation is focus current research. However, it still not fully understood how FV on upper limb muscles affects sensorimotor cortex healthy subjects. To explore this problem, experiment was designed and conducted, which applied to muscle belly biceps brachii left arm. During experiment, electroencephalography (EEG) recorded following three phases: before FV, during two minutes after FV. a significant lower relative power...
Abstract Electroencephalogram (EEG)-based brain–machine interface (BMI) has the potential to enhance rehabilitation training efficiency, but it still remains elusive regarding how design BMI for heterogeneous stroke patients with varied neural reorganization. Here, we hypothesize that tailoring according different patterns of reorganization can contribute a personalized trajectory. Thirteen were recruited in 2-week experiment. Clinical and behavioral measurements, as well cortical muscular...
Objective. Corticomuscular coherence (CMC) is widely used to detect and quantify the coupling between motor cortex effector muscles. It promisingly in human-machine interaction (HMI) supported rehabilitation training promote closed-loop control for stroke patients. However, suffering from weak features low accuracy contingent neurofeedback, its application HMI robots currently limited. In this paper, we propose concept of spatial-temporal CMC (STCMC), which by refining with delay...