A5019258983- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- EEG and Brain-Computer Interfaces
- Mental Health Research Topics
- Tryptophan and brain disorders
- Treatment of Major Depression
- Gut microbiota and health
- Advanced MEMS and NEMS Technologies
- Mechanical and Optical Resonators
- Acoustic Wave Resonator Technologies
- Neural dynamics and brain function
- Optical Imaging and Spectroscopy Techniques
- Diet and metabolism studies
- Vibration and Dynamic Analysis
- Non-Invasive Vital Sign Monitoring
- Schizophrenia research and treatment
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Stress Responses and Cortisol
- Dementia and Cognitive Impairment Research
- Brain Tumor Detection and Classification
- Gear and Bearing Dynamics Analysis
- Medical Image Segmentation Techniques
- Mechanical Engineering and Vibrations Research
- Fetal and Pediatric Neurological Disorders
South China University of Technology
2016-2025
Tohoku University
2012-2025
Guangzhou Medical University
2016-2024
Xi'an Jiaotong University
2024
Zhongshan Hospital
2024
National University of Defense Technology
2020-2024
Shaanxi University of Chinese Medicine
2024
Fudan University
2024
China University of Petroleum, Beijing
2024
Zunyi Medical University
2023
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...
Abstract Neural biointerfacing, enabling direct communication between neural systems and external devices, holds great promises for applications in brain machine interfaces, prosthetics, neuromodulation. However, current electronics made of conventional rigid materials are challenged by their inherent mechanical mismatch with the tissues. Hydrogel bioelectronics, properties compatible tissues, represent an alternative to these limitations enable next‐generation biointerfacing technology....
Previous studies have indicated that major depressive disorder (MDD) patients with suicidal ideation (SI) present abnormal functional connectivity (FC) and network organization in node-centric brain networks, ignoring the interactions among FCs. Whether abnormalities of edge affect emergence SI are related to gene expression remains largely unknown. In this study, resting-state magnetic resonance imaging (fMRI) data were collected from 90 first-episode, drug-naive MDD (MDDSI) patients, 60...
Abstract The aim of this study was to examine structural brain networks using regional gray matter volume, as well investigate changes in small‐world and modular organization with normal aging. We constructed composed 90 regions young, middle, old age groups. randomly selected 350 healthy subjects for each group from a Japanese magnetic resonance image database. Structural three groups showed economical properties, providing high global local efficiency parallel information processing at low...
Recent studies have demonstrated developmental changes of functional brain networks derived from connectivity using graph theoretical analysis, which has been rapidly translated to network organization. However, little is known about sex- and IQ-related differences in the topological organization during development. In this study, resting-state fMRI (rs-fMRI) was used map 51 healthy children. We then investigated effects age, sex, IQ on economic small-world properties regional nodal...
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...
Structural abnormalities in schizophrenia (SZ) patients have been well documented with structural magnetic resonance imaging (MRI) data using voxel-based morphometry (VBM) and region of interest (ROI) analyses. However, these analyses can only detect group-wise differences thus, a poor predictive value for individuals. In the present study, we applied machine learning method that combined support vector (SVM) recursive feature elimination (RFE) to discriminate SZ from normal controls (NCs)...
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...
This study aimed to explore the effect of parents’ education anxiety on children’s academic burnout, and mediation parental burnout moderating family function. A total 259 paired parents children from two middle schools in central China participated survey. The questionnaire was conducted using Educational Anxiety Scale, Parental Burnout Adolescent Student Inventory, Family APGAR Index. Our results indicated that had a positive predictive burnout. Moreover, played complete mediating role...
Abstract We examined the correlation between brain perfusion and age using pulsed arterial spin‐labeling (ASL) magnetic resonance images (MRI) in a large number of healthy children. collected data on structural ASL MRI 202 children aged 5–18 years. Structural were segmented normalized, applying voxel‐based morphometric analysis. Perfusion was normalized normalization parameter corresponding MRI. calculated with an adjustment for gray matter density (BP‐GMD) by dividing segments 22 regions....
Abstract In this study we examined the relationship between autophagy and apoptosis in diabetic rats after spinal cord injury (SCI), also determined role of diabetes-aggravated neurological vivo vitro . Our results showed that diabetes decreased survival neurons, promoted astrocytes proliferation, increased inflammatory cells infiltration inhibited functional recovery SCI. Diabetes was shown to confer activation apoptotic pathways, along with an increase autophagy; similar effects were...
Estimating human age from brain MR images is useful for early detection of Alzheimer's disease. In this paper we propose a fast and accurate method based on deep learning to predict subject's age. Compared with previous methods, our algorithm achieves comparable accuracy using fewer input images. With GPU version program, the time needed make prediction 20 ms. We evaluate methods mean absolute error (MAE) able MAE 4.0 years.
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...
Community structure is a universal and significant feature of many complex networks in biology, society, economics. has also been revealed human brain structural functional previous studies. However, communities overlap share edges nodes. Uncovering the overlapping community remains largely unknown networks. Here, using regional gray matter volume, we investigated network among 90 regions (according to predefined anatomical atlas) 462 young, healthy individuals. Overlapped nodes between were...
Abstract In this study, we examined linear and curvilinear correlations of fractional anisotropy (FA), mean diffusivity (MD), white matter volume with age by using brain structural diffusion‐tensor magnetic resonance imaging (MRI) in a large number healthy children voxel‐based morphometry (VBM) region‐of‐interest (ROI) analyses. We collected data MRI 246 children, aged 5–18 years. FA MD images were normalized the normalization parameter corresponding MRI. Next, analyzed between estimating...
The aim of this study was to investigate age-related changes in the topological organization structural brain networks by applying a longitudinal design over 6 years. Structural were derived from measurements regional gray matter volume and constructed age-specific groups baseline follow-up scans. showed economical small-world properties, providing high global local efficiency for parallel information processing at low connection costs. In analysis network scan significantly lower compared...
To investigate whether personality traits affect the rate of decline gray matter volume, we analyzed relationships between and annual changes volume in 274 healthy community dwelling subjects with a large age range by applying longitudinal design over 6 years, using brain magnetic resonance images (MRI) Revised NEO Personality Inventory (NEO‐PI‐R) at baseline. Brain MRI data were processed voxel‐based morphometry custom template DARTEL diffeomorphic registration tool. For each subject, used...