A5100743640- EEG and Brain-Computer Interfaces
- Tryptophan and brain disorders
- Stress Responses and Cortisol
- Axon Guidance and Neuronal Signaling
- ECG Monitoring and Analysis
- Gaze Tracking and Assistive Technology
- Chromatography in Natural Products
- Gut microbiota and health
- Functional Brain Connectivity Studies
- Metabolomics and Mass Spectrometry Studies
- Adipose Tissue and Metabolism
- Neuroscience and Neural Engineering
- Cleft Lip and Palate Research
- Hedgehog Signaling Pathway Studies
- dental development and anomalies
- Oral and Maxillofacial Pathology
- Zebrafish Biomedical Research Applications
- Macrophage Migration Inhibitory Factor
- Mental Health Research Topics
- Treatment of Major Depression
- Neural dynamics and brain function
- Click Chemistry and Applications
- Gastrointestinal motility and disorders
- Technology and Human Factors in Education and Health
- Blind Source Separation Techniques
Hainan Medical University
2025
Chongqing Medical University
2021-2024
The Affiliated Yongchuan Hospital of Chongqing Medical University
2021-2024
University of South China
2024
University of California, San Francisco
2020-2022
Broad Center
2021-2022
Shandong University of Traditional Chinese Medicine
2022
Florida Craniofacial Institute
2021
University of San Francisco
2021
China Electronics Technology Group Corporation
2018-2019
Adolescent major depressive disorder (MDD) is associated with serious adverse implications for brain development and higher rates of self-injury suicide, raising concerns about its neurobiological mechanisms in clinical neuroscience. However, most previous studies regarding the alterations adolescent MDD focused on single-modal images or analyzed different modalities separately, ignoring potential role aberrant interactions between structure function psychopathology.
In this paper, we propose a new steady-state visually evoked potential (SSVEP) brain-computer interface (BCI) with visual stimuli presented on windshield via head-up display, and apply BCI in conjunction an alpha rhythm to control simulated vehicle 14-DOF dynamics model. A linear discriminant analysis classifier is applied detect the rhythm, which used starting stopping of vehicle. The classification models SSVEP three commands (i.e., turning left, right, going forward) are built by using...
In this paper, we propose a new approach of detecting emergency braking intention for brain-controlled vehicles by interpreting electroencephalography (EEG) signals drivers. Regularization linear discriminant analysis with spatial-frequency features is applied to build the detection model. These are selected from powers frequency points across sixteen channels using sequential forward floating search. Experimental results twelve subjects show that on average, proposed method can detect...
In this paper, we propose a novel driver-vehicle interface for individuals with severe neuromuscular disabilities to use intelligent vehicles by using P300 and steady-state visual evoked potential (SSVEP) brain-computer interfaces (BCIs) select destination test its performance in the laboratory real driving conditions. The proposed consists of two components: selection component based on BCI confirmation an SSVEP BCI. Furthermore, accuracy time models are built help analyze entire system....
In this paper, to address the safety of brain-controlled vehicles under emergency situations, we propose a novel method situation detection by fusing driver electroencephalography (EEG) signals with surrounding information. We first build EEG-based model braking intention. then recognize situations result proposed intention that obstacle based on The real-time system is implemented an embedded system, and driver-and-hardware-in-the-loop-experiment performed. Experimental results show can...
Childhood trauma is a leading risk factor for adolescents developing major depressive disorder (MDD); however, the underlying neuroimaging mechanisms remain unclear. This study aimed to investigate association among childhood trauma, MDD and brain dysfunctions by combining static dynamic network models. We recruited 46 first-episode drug-naïve adolescent patients with (MDD-CT), 53 without (MDD-nCT), 90 healthy controls (HCs) resting-state functional magnetic resonance imaging (fMRI) scans;...
ABSTRACT Tissue fusion frequently requires the removal of an epithelium that intervenes distinct primordia to form one continuous structure. In mammalian secondary palate, a midline epithelial seam (MES) forms between two palatal shelves and must be removed allow mesenchymal confluence. Abundant apoptosis cell extrusion support their importance in MES removal. However, genetically disrupting intrinsic apoptotic regulators BAX BAK within results complete loss death extrusion, but successful...
A Correction to this paper has been published: https://doi.org/10.1038/s41398-021-01251-8
Depression is a leading cause of disability worldwide. There increasing evidence showing that depression associated with the pathophysiology in amygdala; however, underlying mechanism remains poorly understood.We established rat model chronic social defeat stress (CSDS) and conducted series behavior tests to observe behavioral changes. Then liquid chromatography mass spectrometry (LC-MS)-based metabolomics isobaric tags for relative absolute quantitation (iTRAQ)-based proteomics were...
Serotonin (5-HT) neurotransmission in the brain relies on a widespread axon terminal network originating from hindbrain raphe nuclei. These projections are topographically organized such that dorsal (DR), and median (MnR) nuclei have different targets. However, guidance molecules involved this selective targeting development unknown. Here, we show implication of ephrinA5 signaling process. We find EphA5 gene is selectively expressed subset 5-HT neurons during embryonic postnatal development....
Major depressive disorder is a serious and complex mental illness, multiple brain regions are involved in its pathogenesis. There increasing evidence that the amygdala depression; however, underlying molecular mechanisms remain unclear. In this study, we applied combination of liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based metabolomic isobaric tags for relative absolute quantitation (iTRAQ) proteomic to study changes chronic unpredictable mild stress (CUMS) rat model...
This paper proposes a novel method to recognize an emergency situation by translating EEG signals of disabled driver while he or she uses brain-machine interface without using his her limbs drive vehicle. were first filtered independent component analysis along with information entropy. And then the sums powers theta wave in power spectrum from 13 channels used as features classifier built linear discriminant analysis. The pilot experimental results two participants driving simulator...
Craniofrontonasal syndrome (CFNS) is a rare X-linked disorder characterized by craniofacial, skeletal, and neurological anomalies caused mutations in EFNB1. Heterozygous females are more severely affected CFNS than hemizygous males, phenomenon called cellular interference that results from EPHRIN-B1 mosaicism. In Efnb1 heterozygous mice, mosaicism for cell sorting severe phenotypes but how craniofacial dysmorphology arises segregation unknown etiology therefore remains poorly understood....
This paper presents a new Electroencephalography (EEG)-based method to detect emergency situations while drivers employ brain-machine interface but not using limbs operate an assistive vehicle. EEG signals were first preprocessed remove the blinking artifact. The sums of powers five rhythms (including alpha, delta, beta, theta, and low gamma rhythms) from 16 channels then computed as original feature pool. After that, Chi-square extraction was employed select features input Fisher linear...
This paper proposes a novel method of electroencephalography (EEG)-based driver emergency braking intention detection system for brain-controlled driving considering one electrode falling-off. First, whether falls off is discriminated based on EEG potentials. Then, the missing signals are estimated by using collected from other channels multivariate linear regression. Finally, decoder applied to classify intentions. Experimental results show that falling-off discrimination accuracy 99.63%...
NR4a1 has been demonstrated to exert a protective role in various chronic inflammatory disease. The underlying mechanism yet be clarified. This research aimed explore the anti-inflammatory of NR4a1on macrophage through bioinformatics analysis and further verified by series experiments. In this study, GSMs (GEO samples) that LPS(lipopolysaccharide) treated derived from wild type knockout mice were extracted GSE68167 gene expression profiles Gene Expression Omnibus (GEO) database. DEGs...
Abstract Background: Variation in facial shape may arise from the combinatorial or overlapping actions of paralogous genes. Given its many members, and expression functions, EPH receptor family is a compelling candidate source craniofacial morphological variation. We performed detailed morphometric analysis an allelic series E14.5 Ephb1‐3 mutants to determine effect each gene on morphology. Results: found that Ephb1 , Ephb2 Ephb3 genotypes significantly influenced shape, but effects were...
Abstract Tissue fusion is an oft-employed process in morphogenesis which often requires the removal of epithelia intervening multiple distinct primordia to form one continuous structure. In mammalian secondary palate, a midline epithelial seam (MES) forms between two palatal shelves and must be removed allow mesenchymal confluence. Abundant apoptosis cell extrusion this support their importance its removal. However, by genetically disrupting intrinsic apoptotic regulators BAX BAK within MES,...