- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Neural and Behavioral Psychology Studies
- Neurobiology of Language and Bilingualism
- Face Recognition and Perception
- Blind Source Separation Techniques
- Power Systems and Renewable Energy
- Reading and Literacy Development
- Complex Network Analysis Techniques
- Power Systems and Technologies
- Opinion Dynamics and Social Influence
- Advanced Measurement and Detection Methods
- Smart Grid and Power Systems
- Aerospace and Aviation Technology
- Advanced Clustering Algorithms Research
- Adaptive Control of Nonlinear Systems
- Industrial Technology and Control Systems
- Second Language Acquisition and Learning
- Network Security and Intrusion Detection
- Regional Economic and Spatial Analysis
- Autism Spectrum Disorder Research
- Insect symbiosis and bacterial influences
- Target Tracking and Data Fusion in Sensor Networks
- Writing and Handwriting Education
University of Hong Kong
2019-2025
Tiandi Science & Technology (China)
2023-2024
Wuhan University of Science and Technology
2024
University of Connecticut
2023
EY Technologies (United States)
2023
Unchained Labs (United States)
2023
Chinese University of Hong Kong
2021
Chongqing Three Gorges Central Hospital
2020
Google (United States)
2017-2019
Universität Greifswald
2016-2019
Research in cognitive neuroscience has extensively demonstrated that the temporal dynamics of brain activity are associated with functioning. The mainly include oscillatory and 1/f noise-like, non-oscillatory activities coexist many forms confound each other's variability. As such, observed functional associations narrowband oscillations might have been confounded broadband component. Here, we investigated relationship between resting-state EEG efficiency functioning N = 180 individuals. We...
Abstract Event‐related brain potentials (ERPs) are important research tools because they provide insights into mental processing at high temporal resolution. Their usefulness, however, is limited by the need to average over a large number of trials, sacrificing information about trial‐by‐trial variability latencies or amplitudes specific ERP components. Here we propose novel method based on an iteration strategy residues averaged ERPs (RIDE) separate latency‐variable component clusters. The...
Abstract Trial‐to‐trial latency variability pervades cognitive EEG responses and may mix smear ERP components but is usually ignored in conventional averaging. Existing attempts to decompose temporally overlapping latency‐variable show major limitations. Here, we propose a theoretical framework model of ERPs consisting locked different external events or varying from trial trial. Based on this model, new decomposition reconstruction method was developed: residue iteration (RIDE). describe an...
Abstract The usefulness of the event‐related potential ( ERP ) method can be compromised by violations underlying assumptions, for example, confounding variations latency and amplitude components within between conditions. Here we show how subtraction might yield misleading information due to variability components. We propose a solution this problem correcting using R esidue I teration D ecomposition RIDE ), demonstrated with data from representative go/no‐go experiments. overlap N 2 P 3 in...
Stimulus-locked averaged event-related potentials (ERPs) are among the most frequently used signals in Cognitive Neuroscience. However, late, cognitive or endogenous ERP components often variable latency from trial to a component-specific way, compromising stability assumption underlying averaging scheme. Here we show that trial-to-trial variability of not only blurs average waveforms, but may also attenuate existing artificially induce condition effects amplitude. Hitherto this problem has...
Chronic low back pain (CLBP) is a common and refractory musculoskeletal disease, which seriously affects patients' work life. Electroacupuncture (EA) has become popular method for the treatment of CLBP due to its advantages high safety few side effects, but effect still controversial. One important reasons that individual differences make EA therapy not effective everyone. Through machine learning method, therapeutic prediction model was constructed from surface electromyography (sEMG) data...
Preprocessing is a critical yet challenging step in electroencephalography (EEG) research due to its significant potential impact on results. We present protocol for semi-automatic EEG preprocessing incorporating independent component analysis (ICA) and principal (PCA) with step-by-step quality checking ensure removal of large-amplitude artifacts. describe steps interpolating bad channels, major artifacts by ICA PCA correction, exporting processed data. This produced consistent results from...
Abstract As indicators of cognitive function, scale‐free neural dynamics are gaining increasing attention in neuroscience. Although the functional relevance has been extensively reported, one fundamental question about its association with ability remains unanswered: is universal across a wide spectrum abilities or confined to specific domains? Based on dual‐process theory, we designed two categories tasks analyze types processes—automatic and controlled—and examined their associations...
Self-organized critical states (SOCs) and stochastic oscillations (SOs) are simultaneously observed in neural systems, which appears to be theoretically contradictory since SOCs characterized by scale-free avalanche sizes but indicate typical scales. Here, we show that SOs can emerge of small size systems due temporal correlation between large avalanches at the finite-size cutoff, resulting from accumulation-release process SOCs. In contrast, branching without dynamics cannot exhibit...
Abstract When the lateralized readiness potential ( LRP ) is recorded in stimulus–response compatibility SRC tasks, two processes may overlap LRP, stimulus‐driven response priming and activation based on selection rules. These overlapping are hard to disentangle with standard analytical tools. Here, we show that R esidue I teration D ecomposition RIDE ), latency variability, separates components from a Simon task into response‐related components. affected amplitudes only component, whereas...
Abstract Contemporary neuroscience has firmly established that mental state variation concurs with changes in neural dynamic activity a complex way one-to-one mapping cannot describe. To explore the scenario of multifaceted dynamics associated simple variation, we took cognitive load – common manipulation psychology as venue to characterize how multiple features are simultaneously altered by and their sensitivity differs. Electroencephalogram was collected from 152 participants performing...
Objective To evaluate the impact of ultrasound-guided high-intensity focused ultrasound (USgHIFU) for uterine fibroids on ovarian reserve in women reproductive age.Materials and methods From September 2015 to 2017, 84 patients with age were enrolled from Chongqing Haifu Hospital, Three Gorges Central Hospital Aegisroen obstetric gynecology Clinic Seoul, Korea. Blood was collected before HIFU treatment 6 months after USgHIFU treatment. The enzyme-linked immune analysis used assay circulating...
A number of studies have explored the time course Chinese semantic and syntactic processing. However, whether processing occurs earlier than semantics during sentence reading is still under debate. To further explore this issue, an event-related potentials (ERPs) experiment was conducted on 21 native speakers who read individually-presented simple sentences (NP1+VP+NP2) word-by-word for comprehension made plausibility judgments. The transitivity verbs manipulated to form three types stimuli:...