A5054732435- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Structural Health Monitoring Techniques
- Probabilistic and Robust Engineering Design
- Metaheuristic Optimization Algorithms Research
- Optical Imaging and Spectroscopy Techniques
- Anesthesia and Sedative Agents
- Fault Detection and Control Systems
- Advanced Multi-Objective Optimization Algorithms
- Advanced Sensor and Control Systems
- Remote Sensing and Land Use
- Acupuncture Treatment Research Studies
- Marine animal studies overview
- Visual perception and processing mechanisms
- Structural Engineering and Vibration Analysis
- Motor Control and Adaptation
- Photoacoustic and Ultrasonic Imaging
- Atomic and Subatomic Physics Research
- Indoor and Outdoor Localization Technologies
- Distributed Control Multi-Agent Systems
- Advanced Algorithms and Applications
- Simulation and Modeling Applications
- Fibromyalgia and Chronic Fatigue Syndrome Research
- Dementia and Cognitive Impairment Research
Shantou University
2024
Zhejiang University
2021-2023
Ministry of Education of the People's Republic of China
2022
Lanzhou Jiaotong University
2017-2019
Yunnan University
2018
Network control theory (NCT) has recently been utilized in neuroscience to facilitate our understanding of brain stimulation effects. A particularly useful branch NCT is optimal control, which focuses on applying theoretical and computational principles design strategies achieve specific goals neural processes. However, most existing research optimally controlling network dynamics from the original state a target at time point. In this paper, we present first investigation introducing...
The study aims to investigate the relationship between amplitude modulation (AM) of EEG and anesthesia depth during general anesthesia.
Model updating in structural dynamics has attracted much attention recent decades. And high computational cost is frequently encountered during model updating. Surrogate considerable for saving finite element (FEMU). In this study, a method using frequency response function (FRF) based on Kriging proposed. The optimal excitation point selected by modal participation criterion. Initial sample points are chosen via design of experiment (DOE), and built the corresponding acceleration functions....
Although the relationship between anesthesia and consciousness has been investigated for decades, our understanding of underlying neural mechanisms remains rudimentary, which limits development systems monitoring evaluation. Moreover, current practices are mainly based on methods that do not provide adequate information may present obstacles to precise application anesthesia. Most recently, there a growing trend utilize brain network analysis reveal anesthesia, with aim providing novel...
The objective of the work is experimental validation and optimal design for structural response reconstruction. A modal‐based Kalman filter approach based on excitation identification proposed reconstruction estimation structures by using noisy acceleration strain measurements. Firstly, different filters are introduced discussed. Secondly, to avoid single type sensors, a displacement modal method into approach. Thirdly, backward sequential algorithm given obtain sensor locations. It shown...
Artificial fish swarm algorithm easily converges to local optimum, especially in solving the global optimization problem of multidimensional and multiextreme value functions. To overcome this drawback, a novel (LFFSA) based on Lévy flight firefly behavior is proposed. LFFSA incorporates moving strategy into two patterns swarm, i.e., chasing preying behavior. Furthermore, introduced searching strategy. limit search band, nonlinear view step size dynamic parameter are considered. Finally,...
To explore the effects and mechanisms of long-snake moxibustion on ankylosing spondylitis (AS) based Th17/Treg/Th1 immune imbalance.A total 60 AS patients were randomized into an observation group a control group, 30 cases in each one. In therapy was used acupoints governor vessel from Dazhui (GV 14) to Yaoshu 2) as well bilateral Jiaji (EX-B alternatively. The given once day, for 7 days continuously one course. There 3 at interval between courses 4 required. routine western medication...
Anesthetic-induced loss of consciousness (LOC) has been studied using functional connectivity (FC) and network analysis (FNA), manifested as fragmentation the whole-brain network. However, how fragmented brain networks reversibly recover during recovery (ROC) remains vague. This study aims to investigate changes in structure ROC, better understand anesthesia, thus providing insights into monitoring. We analyzed EEG data recorded from 15 individuals anesthetized by sevoflurane. By...
The fragmentation of the functional brain network has been identified through connectivity (FC) analysis in studies investigating anesthesia-induced loss consciousness (LOC). However, it remains unclear whether mild sedation anesthesia can cause similar effects. This paper aims to explore changes local-global topology during anesthesia, better understand macroscopic neural mechanism underlying sedation. We analyzed high-density EEG from 20 participants undergoing and moderate propofol...
The apolipoprotein E (APOE) ɛ4 allele is a recognized genetic risk factor for Alzheimer's Disease (AD). Studies have shown that APOE mediates the modulation of intrinsic functional brain networks in cognitively normal individuals and significantly disrupts whole-brain topological structure AD patients. However, how regulates connectivity (FC) consequently affects levels cognitive impairment patients remains unknown. In this study, we systematically analyzed magnetic resonance imaging (fMRI)...
Aiming at the problems that Markov chain Monte Carlo algorithm is not easy to converge, has high rejection rate, and be disturbed by noise when parameter dimension high, an improved model updating method combining singular values of frequency response functions beetle antennae search proposed. Firstly, Latin hypercube sampling used extract training samples. The Hankel matrix reconstructed using calculated decomposed value decomposition. effective are retained represent functions. Secondly,...
Based on the analysis of classical particle swarm optimization (PSO) algorithm, we adopted Sun’s theory that has behavior quantum (QPSO) by analyzing algorithm natural parallelism and combined with parallel computer high-speed parallelism, put forward a new (PQPSO) algorithm. On this basis, introduced island model, relative to fine-grained two swarm,m proposed kinds coarse-grained based multiple populations Finally under environment MPI machine using benchmark functions do numerical test,...
In the depth of anesthesia monitoring, electrooculogram is usually treated as an artifact EEG. However, amplitude much greater than that electroencephalography. Its requirements for electrode materials and detection circuits are also far lower this prospective cohort study, we use a new language paradigm elicited rhythmic ocular muscle activity to explore whether can be used monitoring anesthesia. Thirty-three patients inhaled sevoflurane via laryngeal mask induction According end-tidal...
Abstract Background: Several electroencephalographic (EEG) variables have been used to estimate changes in human brain electrical activity during changing states of consciousness as a clinical monitoring tool anesthesia and sedation. However, the EEG signal is weak extremely susceptible suppression interference. The use monitors still controversial. Recent studies shown new language paradigm that elicited rhythmic responses ocular muscle tracking sentence rhythms speech. Electrooculogram...