A5026919032- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Optical Imaging and Spectroscopy Techniques
- Geological formations and processes
- Geology and Paleoclimatology Research
- Geological and Geophysical Studies
- Paleontology and Evolutionary Biology
- Neural dynamics and brain function
- Heart Rate Variability and Autonomic Control
- Ichthyology and Marine Biology
- Evolution and Paleontology Studies
- Non-Invasive Vital Sign Monitoring
- Methane Hydrates and Related Phenomena
- Muscle activation and electromyography studies
- Photosynthetic Processes and Mechanisms
- Hydrocarbon exploration and reservoir analysis
- Mental Health Research Topics
- Attention Deficit Hyperactivity Disorder
- Genetics and Neurodevelopmental Disorders
- Myofascial pain diagnosis and treatment
- Botulinum Toxin and Related Neurological Disorders
- Electrical and Bioimpedance Tomography
- Geochemistry and Elemental Analysis
- Autism Spectrum Disorder Research
- Traumatic Brain Injury Research
Nanjing Agricultural University
2025
University of Macau
2023-2025
Inner Mongolia Medical University
2024
Zhujiang Hospital
2020-2024
Southern Medical University
2020-2024
Second Xiangya Hospital of Central South University
2023
Central South University
2023
Stanford University
2021-2023
Zhejiang University
2022-2023
Communication University of Zhejiang
2022-2023
Abstract Background Electroencephalogram (EEG) has emerged as a non-invasive tool to detect the aberrant neuronal activity related different stages of Alzheimer’s disease (AD). However, effectiveness EEG in precise diagnosis and assessment AD its preclinical stage, amnestic mild cognitive impairment (MCI), yet be fully elucidated. In this study, we aimed identify key biomarkers that are effective distinguishing patients at early stage monitoring progression AD. Methods A total 890...
Brain-Computer Interface (BCI) techniques hold a great promise for neuroprosthetic applications. A desirable BCI system should be portable, minimally invasive, and feature high classification accuracy efficiency. As two commonly used non-invasive brain imaging modalities, Electroencephalography (EEG) functional near-infrared spectroscopy (fNIRS) have often been incorporated in the development of hybrid systems, largely due to their complimentary properties. In this study, we aimed...
Emerging evidence indicates that cognitive deficits in Alzheimer's disease (AD) are associated with disruptions brain network. Exploring alterations the AD network is therefore of great importance for understanding and treating disease. This study employs an integrative functional near-infrared spectroscopy (fNIRS) – electroencephalography (EEG) analysis approach to explore dynamic, regional AD-linked FNIRS EEG data were simultaneously recorded from 14 participants (8 healthy controls 6...
Mild cognitive impairment (MCI) is a disorder characterized by memory impairment, wherein patients have an increased likelihood of developing Alzheimer's disease (AD). The classification MCI and different AD stages therefore fundamental for understanding treating the disease. This study aimed to comprehensively investigate hemodynamic response patterns among various subject groups. Functional near-infrared spectroscopy (fNIRS) was employed measure signals from frontal bilateral parietal...
The rapid development of the automotive industry has brought great convenience to our life, which also leads a dramatic increase in amount traffic accidents. A large proportion accidents were caused by driving fatigue. EEG is considered as direct, effective, and promising modality detect In this study, we presented novel feature extraction strategy based on deep learning model achieve high classification accuracy efficiency using for fatigue detection. signals recorded from six healthy...
How two brains communicate with each other during social interaction is highly dynamic and complex. Multi-person (i.e., hyperscanning) studies to date have focused on analyzing the entire time series of brain signals reveal an overall pattern inter-brain synchrony (IBS). However, this approach does not account for nature interaction. In present study, we propose a data-driven based sliding windows k-mean clustering capture modulation IBS patterns interactive cooperation tasks. We used...
A growing number of social interactions are taking place virtually on videoconferencing platforms. Here, we explore potential effects virtual observed behavior, subjective experience, and neural "single-brain" "interbrain" activity via functional near-infrared spectroscopy neuroimaging. We scanned a total 36 human dyads (72 participants, males, females) who engaged in three naturalistic tasks (i.e., problem-solving, creative-innovation, socio-emotional task) either an in-person or (Zoom)...
The coupling strength between electroencephalogram (EEG) and electromyography (EMG) signals during motion control reflects the interaction cerebral motor cortex muscles. Therefore, neuromuscular characterization is instructive in assessing function. In this study, to overcome limitation of losing characteristics conventional time series symbolization methods, a variable scale symbolic transfer entropy (VS-STE) analysis approach was proposed for corticomuscular evaluation. Post-stroke...
Background Persistent motor deficits are very common in poststroke survivors and often lead to disability. Current clinical measures for profiling impairment assessing recovery largely subjective lack precision. Objective A multimodal neuroimaging approach was developed based on concurrent functional near-infrared spectroscopy (fNIRS) electroencephalography (EEG) identify biomarkers associated with function document the cortical reorganization. Methods EEG fNIRS data were simultaneously...
Electroencephalography (EEG)-based driving fatigue detection has gained increasing attention recently due to the non-invasive, low-cost, and potable nature of EEG technology, but it is still challenging extract informative features from noisy signals for detection. Radial basis function (RBF) neural network drawn lots as a promising classifier its linear-in-the-parameters structure, strong non-linear approximation ability, desired generalization property. The RBF performance heavily relies...
Functional near-infrared spectroscopy (fNIRS) is an optical imaging technique for assessing human brain activity by noninvasively measuring the fluctuation of cerebral oxygenated- and deoxygenated-hemoglobin concentrations associated with neuronal activity. Owing to its superior mobility, low cost, good tolerance motion, past few decades have witnessed a rapid increase in research clinical use fNIRS variety psychiatric disorders. In this perspective article, we first briefly summarize...
Amnestic mild cognitive impairment (aMCI) is conceptualized as a disorder characterized by memory deficits. Patients with aMCI are treated prodromal stage of Alzheimer's disease (AD) and have an increased likelihood developing into AD. The investigation therefore fundamental to the early detection intervention Growing evidence has shown that functional network alterations induced cognition can be captured advanced neuroimaging techniques. In this study, near-infrared spectroscopy (fNIRS),...
Soil salinity is one of the most significant abiotic stresses affecting crop yield around world. To explore molecular mechanism salt tolerance in rapeseed (Brassica napus L.), transcriptome analysis and metabolomics were used to dissect differentially expressed genes metabolites two varieties with differences tolerance; an elite cultivar, Huayouza 62. A total 103 key (DEMs) 53 differentials (DEGs) that might be related stress identified through transcriptomics analysis. GO KEGG revealed DEGs...
Cold tolerance in rapeseed is closely related to its growth, yield, and geographical distribution. However, the mechanisms underlying cold resistance remain unclear. This study aimed explore genes provide new insights into molecular of rapeseed. Rapeseed M98 (cold-sensitive line) D1 (cold-tolerant were used as parental lines. In their F2 population, 30 seedlings with lowest damage levels highest selected construct cold-tolerant cold-sensitive pools, respectively. The two pools lines analyzed...