A5056942261- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Epilepsy research and treatment
- Electrochemical sensors and biosensors
- Electrochemical Analysis and Applications
- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Obsessive-Compulsive Spectrum Disorders
- Mental Health Research Topics
- Advanced Memory and Neural Computing
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Chemical Synthesis and Analysis
- Transcranial Magnetic Stimulation Studies
- Neurological disorders and treatments
- Conducting polymers and applications
- Retinal Imaging and Analysis
- Photoreceptor and optogenetics research
- Muscle activation and electromyography studies
- Advanced MRI Techniques and Applications
- Advanced Chemical Sensor Technologies
- AI in cancer detection
- Advanced Image Fusion Techniques
- Motor Control and Adaptation
- Radiomics and Machine Learning in Medical Imaging
Xinxiang Medical University
2018-2025
Henan Psychiatric Hospital
2021-2025
First Affiliated Hospital of Xinxiang Medical University
2023
Henan Institute of Technology
2022
Soochow University
2020
Xinxiang University
2020
Xi'an Jiaotong University
2014-2016
Various retinal vessel segmentation methods based on convolutional neural networks were proposed recently, and Dense U-net as a new semantic network was successfully applied to scene segmentation. Retinal is tiny, the features of can be learned effectively by patch-based learning strategy. In this study, we framework process training, training patches obtained random extraction strategy, adopted network, transformation used data augmentation testing, test images divided into image patches,...
The COVID-19 pandemic is associated with common mental health problems. However, evidence for the association between fear of and obsessive-compulsive disorder (OCD) limited.This study aimed to examine if negative events affects Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) scores in context a COVID-19-fear-invoking environment.All participants were medical university students voluntarily completed three surveys via smartphone or computer. Survey 1 was conducted on February 8, 2020,...
A growing number of studies have revealed significant abnormalities in electroencephalography (EEG) microstate patients with depression, but these findings may be affected by medication. Therefore, how the EEG microstates abnormally change depression early stage and without influence medication has not been investigated so far. Resting-state data Hamilton Depression Rating Scale (HDRS) were collected from 34 first-episode drug-naïve adolescent matched healthy controls. analysis was applied...
Schizophrenia(SZ) classification and treatment response prediction hold substantial clinical application value. However, only a limited number of researchers have exploited the multi-feature information derived from resting-state functional magnetic resonance imaging (rs-fMRI) to achieve short-term drug-treatment SZ prediction. We developed fusion recursive feature elimination random forest (RFE-RF) approach for Initially, we computed multiple features, such as regional homogeneity,...
Stroke, also known as cerebrovascular accident, is an acute disease with a high incidence, disability rate, and mortality. It can disrupt the interaction between cerebral cortex external muscles. Corticomuscular coherence (CMC) common useful method for studying how controls muscle activity. CMC expose functional connections muscle, reflecting information flow in motor system. Afferent feedback related to reveal these connections. This paper aims investigate factors influencing stroke...
Histone Lysine Specific Demethylase 1 (LSD1) is overexpressed in many cancers and becomes a new target for anticancer drugs. In recent years, small molecule inhibitors with various structures targeting LSD1 have been reported. Here we report the binding interaction modes of series thieno[3,2-b]pyrrole-5-carboxamide using molecular docking, three-dimensional quantitative structure-activity relationships (3D-QSAR). Comparative field analysis (CoMFA q 2 = 0.783, r 0.944, pred 0.851) comparative...
At present, lots of studies have tried to apply machine learning different electroencephalography (EEG) measures for diagnosing schizophrenia (SZ) patients. However, most EEG previously used are either a univariate measure or single type brain connectivity, which may not fully capture the abnormal changes SZ In this paper, event-related potentials were collected from 45 patients and 30 healthy controls (HCs) during task, then combination partial directed coherence (PDC) effective phase lag...
Objective: Antiseizure medicine (ASM) is the first choice for patients with epilepsy. The of ASM determined by type epilepsy or epileptic syndrome, which may not be suitable certain patients. This initial a particular drug affects long-term prognosis patients, so it critical to select appropriate ASMs based on individual characteristics patient at early stage disease. purpose this study develop personalized prediction model predict probability achieving seizure control in focal epilepsy,...
Cognitive impairment (CI) is a common disorder in patients with epilepsy (PWEs). Objective assessment method for diagnosing CI PWEs would be beneficial reality. This study proposed to construct diagnostic model using the clinical and phase locking value (PLV) functional connectivity features of electroencephalogram (EEG).PWEs who met inclusion exclusion criteria were divided into cognitively normal (CON) group (n = 55) 76). The 23 684 PLV EEG at time patient visit screened ranked Fisher...
In this paper, AuPt bimetallic nanoparticles-graphene nanocomposites were obtained by electrochemical co-reduction of graphene oxide (GO), HAuCl4 and H2PtCl6. The as-prepared characterized scanning electron microscopy (SEM), impedance spectroscopy (EIS) other methods. morphology composition the nanocomposite could be easily controlled adjusting HAuCl4/H2PtCl6 concentration ratio. experiments showed that when ratio was 1:1, (denoted as Au1Pt1NPs-GR) possessed highest electrocatalytic activity...
In order to reduce the impedance and improve in vivo neural recording performance of our developed Michigan type silicon electrodes, rough-surfaced AuPt alloy nanoparticles with nanoporosity were deposited on gold microelectrode sites through electro-co-deposition Au-Pt-Cu nanoparticles, followed by chemical dealloying Cu. The modified characterized scanning electron microscopy (SEM), electrochemical spectroscopy (EIS), cyclic voltammetry (CV) experiment. SEM images showed that prepared...
To analyze whether the Lempel-Ziv Complexity (LZC) in quantitative electroencephalogram differs between temporal lobe epilepsy (TLE) patients with or without cognitive impairment (CI) and explore diagnostic value of LZC for identifying CI TLE patients. Twenty-two clinical features 20-min EEG recordings were collected from 48 27 cognitively normal (CON) Seventy-six calculated 19 leads four frequency bands (alpha, beta, delta, theta). The compared two groups. A support vector machine (SVM) was...
In this paper, a novel dual-sided microelectrode array is specially designed and fabricated for rat Parkinson's disease (PD) model to study the mechanisms of deep brain stimulation (DBS). The can stimulate subthalamic nucleus simultaneously record electrophysiological information from multiple nuclei basal ganglia system. has long shaft 9 mm each planar surface equipped with three stimulating sites (diameter 100 μm), seven recording 20 μm) four diameter 50 μm used neurotransmitter...
Near-death experiences (NDE) are episodes of enhanced perception with impending death, which have been associated increased high-frequency (13-100 Hz) synchronization neuronal activity, is implicated in cognitive processes like perception, attention and memory. To test whether the NDE-associated oscillations surge related to cardiac arrest, recordings were made from hippocampus anesthetized rats dying an overdose sedative chloral hydrate (CH). At a lethal dose, CH caused beta band power CA3...
Introduction At present, elucidating the cortical origin of EEG microstates is a research hotspot in field EEG. Previous studies have suggested that prefrontal cortex closely related to microstate C and D, but whether there causal link between or D remains unclear. Methods In this study, pretrial data were collected from ten patients with lesions (mainly located inferior middle frontal gyrus) fourteen matched healthy controls, analysis was applied. Results Our results showed four classical...