A5032450762- Neuroscience and Neural Engineering
- Neurological disorders and treatments
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Parkinson's Disease Mechanisms and Treatments
- Transcranial Magnetic Stimulation Studies
- Advanced Neuroimaging Techniques and Applications
- Pain Mechanisms and Treatments
- Muscle activation and electromyography studies
- Genetic Neurodegenerative Diseases
- Genetics and Neurodevelopmental Disorders
- Spinal Cord Injury Research
- Fractal and DNA sequence analysis
- Congenital heart defects research
- Energy Harvesting in Wireless Networks
- Biofield Effects and Biophysics
- Atomic and Subatomic Physics Research
- Alzheimer's disease research and treatments
- Neuroscience and Neuropharmacology Research
- Biomedical and Engineering Education
- Cell Image Analysis Techniques
- Pain Management and Treatment
- Educational Reforms and Innovations
- Spectroscopy Techniques in Biomedical and Chemical Research
Shanghai Center for Brain Science and Brain-Inspired Technology
2019-2024
Fudan University
2019-2024
Shanghai Institute for Science of Science
2021-2024
Northeast Forestry University
2024
Shanghai Innovative Research Center of Traditional Chinese Medicine
2021-2024
Beijing University of Technology
2016-2019
Abstract The neural signals produced by varying electrical stimulation parameters lead to characteristic circuit responses. However, the characteristics of circuits reconstructed remain poorly understood, which greatly limits application such neuromodulation techniques for treatment spinal cord injury. Here, we develop a dual system that combines epidural and muscle mimic feedforward feedback in sensorimotor circuits. We demonstrate stimulus frequency 10−20 Hz under conditions is required...
In recent years, researchers have increased attentions to the morphological brain network, which is generally constructed by measuring mathematical correlation across regions using a certain morphometric feature, such as regional cortical thickness and voxel intensity. However, cerebral structure can be characterized with various factors, volume, surface area curvature. Moreover, most of networks are population-based, has limitations in investigations individual difference clinical...
Objective.Closed-loop deep brain stimulation (DBS) with neural feedback has shown great potential in improving the therapeutic effect and reducing side effects. However, amplitude of artifacts is much larger than local field potentials, which remains a bottleneck developing closed-loop strategy varied parameters.Approach.We proposed an irregular sampling method for real-time removal artifacts. The artifact peaks were detected by applying threshold to raw recordings, samples within...
Understanding the functional dynamics of neural oscillations in sensory thalamus is essential for elucidating perception and modulation neuropathic pain. Local field potentials were recorded from twelve pain patients. Single combinational states defined by activity state a single or paired oscillations. Relationships between duration occurrence rate pre-operative level relief induced deep brain stimulation evaluated. Results showed that low-beta oscillation was significantly correlated with...
Alzheimer's disease (AD) is one of the most common forms dementia that has slowly negative impacts on memory and cognition. With assistance multimodal brain networks graph-based analysis approaches, AD-related network disruptions support hypothesis AD can be identified as a dysconnectivity syndrome. However, recent emerging individual-based morphological research AD, utilization multiple morphometric features may provide broader horizon for locating lesions. Therefore, present study applied...
The balance between neural oscillations provides valuable insights into the organisation of related to brain states, which may play important roles in dystonia. We aim investigate relationship globus pallidus internus (GPi) with dystonic severity under different muscular contraction conditions.Twenty-one patients dystonia were recruited. All them underwent bilateral GPi implantation, and local field potentials (LFPs) from recorded via simultaneous surface electromyography. power spectral...
Closed-loop deep brain stimulation (DBS) shows great potential for precise neuromodulation of various neurological disorders, particularly Parkinson's disease (PD). However, substantial challenges remain in clinical translation due to the complex programming procedure closed-loop DBS parameters. In this study, we proposed an online optimized amplitude adaptive strategy based on particle swarm optimization (PSO) and proportional–integral–differential (PID) controller modulation beta...
Mental health education is an integral component of ideological and political education, serving as a cornerstone in promoting campus harmony stability. From the discontinuity balance theory perspective, agenda setting closely intertwined with pertinent psychological policies, implementation strategies, pathways for growth. By attending to growth issues information college students sequentially, workers collaborate psychology experts, we-media platforms, well relevant organizations...
Neural oscillations are critical to understanding the synchronisation of neural activities and their relevance neurological disorders. For instance, amplitude beta in subthalamic nucleus has gained extensive attention, as it been found correlate with medication status therapeutic effects continuous deep brain stimulation people Parkinson's disease. However, frequency stability oscillations, which suggested be associated dopaminergic information states, not well explored. Moreover,...
Deep brain stimulation (DBS) targeting the globus pallidus internus (GPi) and subthalamic nucleus (STN) is employed for treatment of dystonia. Pallidal low-frequency oscillations have been proposed as a pathophysiological marker However, role STN-GPi coupling in relation to dystonia remains unclear.
Along with the development of medical assistant techniques, brain network is becoming an important tool for analysing nervous system diseases and researching pathogenesis diseases. Epilepsy one common diseases, it has been popular in researches. Idiopathic generalized epilepsy (IGE) a set syndrome no other obvious causes besides genetic factors, accounting about 30% all kinds epilepsies. This article summarizes recent progresses IGE foci detection based on analysis, mainly focusing...
Recording of the local field potentials(LFPs) and calcium signal is strongly influenced by external stimuli. However, stimulation artifacts are difficult to isolate from signal. Current studies generally screen out trial segments with high stimulus amplitude. To keep more information traces, We propose a method remove negative effects deep brain (DBS) on LFPs, this performs well in dealing periodic amplitude, large pulse width frequency, which may also alleviate neuronal signaling...
Characterization of neural signatures within the somatosensory pathway is essential for elucidating pathogenic mechanisms central post-stroke pain (CPSP) and developing more effective treatments such as deep brain stimulation (DBS). We explored characteristics thalamic oscillations in response to different levels under long-period local field potential (LFP) recordings influences chronic DBS on these activities. LFPs were recorded from left ventral posterolateral nucleus (VPL) a patient with...
Abstract Epidural electrical stimulation restores locomotion in animals and humans with spinal cord injury (SCI). However, the coding rules underlying remain poorly understood, which has greatly limited application of such neuromodulation techniques SCI clinical treatment. To elucidate on sensorimotor circuit reconstruction after complete SCI, we initially developed a spinal−muscle closed-loop protocol to mimic feedforward feedback signals circuits. Afterwards, using methods function...