A5018837129- Tryptophan and brain disorders
- Functional Brain Connectivity Studies
- Diet and metabolism studies
- Gut microbiota and health
- Schizophrenia research and treatment
- Advanced Neuroimaging Techniques and Applications
- E-commerce and Technology Innovations
- Mental Health Research Topics
- Bipolar Disorder and Treatment
- Folate and B Vitamins Research
- Advanced MRI Techniques and Applications
- Treatment of Major Depression
- COVID-19 and Mental Health
- Gastrointestinal motility and disorders
- Evaluation and Optimization Models
- Vehicle Routing Optimization Methods
- Long-Term Effects of COVID-19
- Recycling and Waste Management Techniques
- Sleep and related disorders
- Parkinson's Disease Mechanisms and Treatments
- Intracranial Aneurysms: Treatment and Complications
- Business Process Modeling and Analysis
- Advanced Manufacturing and Logistics Optimization
- Sustainable Supply Chain Management
- Acute Ischemic Stroke Management
Guangzhou Medical University
2020-2025
Guangzhou Psychiatric Hospital
2021-2023
Shanghai Polytechnic University
2011-2022
Creative Commons
2016
First Affiliated Hospital of Xinxiang Medical University
2008-2016
Xinxiang Medical University
2013-2014
Relay Therapeutics (United States)
2008
South China University of Technology
2003-2004
Sabin Vaccine Institute
2003
The gut microbiome and microbiome-gut-brain (MGB) axis have been receiving increasing attention for their role in the regulation of mental behavior possible biological basis psychiatric disorders. With advance next-generation sequencing technology, characterization microbiota schizophrenia (SZ) patients can provide rich clues diagnosis prevention SZ.In this study, we compared differences fecal between 82 SZ 80 demographically matched normal controls (NCs) by 16S rRNA analyzed correlations...
The effect of the gut microbiome on central nervous system and its possible role in mental disorders have received increasing attention. However, knowledge about relationship between brain structure function is still very limited. Here, we used 16S rRNA sequencing with structural magnetic resonance imaging (sMRI) resting-state functional (rs-fMRI) to investigate differences fecal microbiota 38 patients schizophrenia (SZ) demographically matched normal controls (NCs) explored whether such...
Background: Anxiety has been a common mental state during the epidemic of Coronavirus Disease 2019 (COVID-19) and is usually closely related to somatization. However, no study on somatization in anxiety its relationship with insomnia conducted. Therefore, this aimed identify prevalence anxiety, explore relationships between different psychological states general population COVID-19 outbreak. Methods: A total 1172 respondents were recruited from 125 cities mainland China by an online...
The methodology of machine learning with multi-omics data has been widely adopted in the discriminative analyses schizophrenia, but most these studies ignored cooperative interactions and topological attributes networks. In this study, we constructed three types brain graphs (BGs), gut (GGs), nine brain-gut combined (BGCGs) for each individual. We proposed a novel graph convolutional network (MO-GCN) an attention mechanism to construct classification model by integrating all BGCGs. also...
Major depressive disorder (MDD) has a high incidence and an unknown mechanism. There are no objective sensitive indicators for clinical diagnosis.This study explored specific electrophysiological their role in the diagnosis of MDD using machine learning.Forty first-episode drug-naïve patients with forty healthy controls (HCs) were recruited. EEG data collected from all subjects resting state eyes closed 10 min. The severity was assessed by Hamilton Depression Rating Scale (HAMD-17). Machine...
The microbiome-gut-brain axis (MGBA) plays a critical role in schizophrenia (SZ). However, the underlying mechanisms of interactions among gut microbiome, brain networks, and symptom severity SZ patients remain largely unknown. Fecal samples, structural functional magnetic resonance imaging (MRI) data, Positive Negative Syndrome Scale (PANSS) scores were collected from 38 normal controls, respectively. data 16S rRNA gene sequencing used to analyze abundance microbiome analysis human networks...
Background Teachers are more likely to experience mental health issues than the general population, yet few studies focus on Chinese teachers. After “Double Reduction” policy, teacher workload and stress have risen significantly. In Dongguan, a city actively implementing educational reforms, may be particularly concerning. Anxiety, depression, burnout prevalent issues. This study examined prevalence factors linked anxiety, among Dongguan Methods A cross-sectional survey evaluated of primary...
Introduction Recent studies in human brain connectomics with multimodal magnetic resonance imaging (MRI) data have widely reported abnormalities structure, function and connectivity associated schizophrenia (SZ). However, most previous discriminative of SZ patients were based on MRI features regions, ignoring the complex relationships within networks. Methods We applied a graph convolutional network (GCN) to discriminating using region derived from combined analysis. Structural (sMRI)...
Accelerated brain aging had been widely reported in patients with schizophrenia (SZ). However, trajectories SZ have not well-documented using three-modal magnetic resonance imaging (MRI) data. In this study, 138 and 205 normal controls aged 20-60 were included multimodal MRI data acquired for each individual, including structural MRI, resting state-functional diffusion tensor imaging. The age of participant was estimated by features extracted from linear multiple regression. correlation...
Recently, machine learning techniques have been widely applied in discriminative studies of schizophrenia (SZ) patients with multimodal magnetic resonance imaging (MRI); however, the effects brain atlases and methods remain largely unknown. In this study, we collected MRI data for 61 first-episode SZ (FESZ), 79 chronic (CSZ) 205 normal controls (NC) calculated 4 measurements, including regional gray matter volume (GMV), homogeneity (ReHo), amplitude low-frequency fluctuation degree...
The pandemic of coronavirus disease 2019 (COVID-19) has posed a threat to global health. Increasing studies have shown that the mental health status professionals is very poor during COVID-19 epidemic. At present, relationship between somatic symptoms and anxiety not been reported. purpose this study was explore frequency its related factors in with China.A total 606 were assessed online Chinese version 7-item Generalized Anxiety Disorder (GAD-7) scale, Insomnia Severity Index (ISI)...
Abstract Obesity is common comorbidity in patients with schizophrenia. Previous studies have reported that homocysteine (Hcy) increased However, no study has the association between BMI and Hcy levels This cross-sectional naturalistic aimed to evaluate relationship BMI, clinical symptoms Chinese Han chronic Clinical anthropometric data as well plasma level glycolipid parameters were collected. Psychopathology was measured Positive Negative Syndrome Scale (PANSS). Our results showed compared...
Background: Suicide is a common and complex symptom of schizophrenia that may be related to clinical variables neurocognitive function. This study aimed investigate the associated correlates suicide attempts in Chinese middle-aged elderly inpatients with schizophrenia, including demographic characteristics cognitive level, which has not yet been reported. Methods: A total 426 were recruited for this study. Clinical symptoms evaluated using Positive Negative Syndrome Scale (PANSS)....
During the outbreak of coronavirus disease 2019 (COVID-19), occupational differences were recognized with respect to psychological issues, but there are no reports regarding insomnia and anxiety comorbidities their related factors among general public medical staff. Our study aimed compare prevalence insomnia, as well relationship between different symptoms two groups.A total 605 staff 1091 respondents assessed through an online questionnaire survey, including 7-item Insomnia Severity Index...
Background There has been growing evidence of the existence abnormalities in kynurenine pathway (KP) and structural gray matter volume (GMV) schizophrenia (SCZ). Numerous studies have suggested that abnormal metabolism (KM) brain is clearly associated with pathogenesis may be one pathological mechanisms SCZ. In this pilot study, we investigated whether there was a correlation between KP GMV patients. Methods The plasma levels KM were measured 41 patients who met Structured Clinical Interview...
Abstract Background Serum amyloid A protein (SAA) is both an inflammatory factor and apolipoprotein. However, the relation between genetic polymorphisms of SAA cerebral infarction (CI) remains unclear. Methods results The previously reported 4 Single Nucleotide Polymorphisms (rs12218, rs4638289, rs7131332, rs11603089) SAA1 gene were genotyped by TaqMan method in a case–control study including 287 patients 376 control subjects. We found rs12218 CC genotype rs7131332 AA more frequent among CI...
The prognostic value of the N-amino terminal fragment prohormone brain natriuretic peptide (NT-proBNP) in acute ischemic stroke (AIS) is uncertain. We sought to determine whether NT-proBNP levels were associated with functional outcomes after AIS. From August 2012 October 2013, consecutive first-ever AIS patients admitted Department Emergency First Affiliated Hospital Xinxiang Medical University, China, included this study. Plasma measured from admission. Outcomes as 90-day modified Rankin...
To reliably realize the functions of autonomous navigation and cruise logistics robots in a complex storage environment, this paper proposes new robot system based on vision multiline lidar information fusion, which can not only ensure rich accurate map edges, but also meet real-time positioning scenarios. Simulation practical verification showed that is feasible robust, overcomes problems low precision, poor robustness, weak portability, difficult expansion mobile environment. It provides...