A5048912567- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Schizophrenia research and treatment
- Mental Health Research Topics
- Neural dynamics and brain function
- Genetic Associations and Epidemiology
- Tryptophan and brain disorders
- RNA Research and Splicing
- Advanced MRI Techniques and Applications
- Optical Network Technologies
- Treatment of Major Depression
- Neuroscience and Neuropharmacology Research
- Advanced Optical Network Technologies
- Cancer-related molecular mechanisms research
- Neuroscience and Music Perception
- Hallucinations in medical conditions
- MicroRNA in disease regulation
- EEG and Brain-Computer Interfaces
- Advanced Photonic Communication Systems
- Genetics and Neurodevelopmental Disorders
- Bipolar Disorder and Treatment
- Amino Acid Enzymes and Metabolism
- Diet and metabolism studies
- Epigenetics and DNA Methylation
- Autism Spectrum Disorder Research
Shanxi Medical University
2016-2025
First Hospital of Shanxi Medical University
2016-2025
Eighth Affiliated Hospital of Sun Yat-sen University
2024-2025
Sun Yat-sen University
2024-2025
Anhui Academy of Medical Sciences
2025
The Seventh Affiliated Hospital of Sun Yat-sen University
2025
Guangdong Medical College
2002-2024
Nanjing University of Chinese Medicine
2024
Taiyuan Central Hospital
2023-2024
Third People's Hospital of Hefei
2024
Background The prevalence of depressive and anxiety symptoms in patients with COVID-19 is higher than usual. Previous studies have shown that there are drug-to-drug interactions between antiretroviral drugs antidepressants. Therefore, an effective safe treatment method was needed. Cognitive behavioral therapy (CBT) the first-line psychological clinical treatment. Computerized CBT (cCBT) proven to be alternative does not require face-to-face a therapist patient, which suited pandemic...
Representation-based classification methods are all constructed on the basis of conventional representation, which first expresses test sample as a linear combination training samples and then exploits deviation between expression result every class to perform classification. However, this does not always well reflect difference each class. With paper, we propose novel representation-based method for face recognition. This integrates inverse better recognizing face. It produces...
LncRNAs, which represent one of the most highly expressed classes ncRNAs in brain, are becoming increasingly interesting with regard to brain functions and disorders. However, changes expression regulatory lncRNAs Major Depressive Disorder (MDD) have not yet been reported. Using microarrays, we profiled 34834 39224 mRNAs peripheral blood sampled from MDD patients as well demographically-matched controls. Among these, found that 2007 1667 were differentially expressed, 17 documented...
As an important biometric feature, human gait has great potential in video-surveillance-based applications. In this paper, we focus on the matrix representation-based recognition and propose a novel discriminant subspace learning method called sparse bilinear analysis (SBDA). SBDA extends recently proposed matrix-representation-based methods to cases. By introducing L <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sub>...
Deficits in facial emotion recognition are one of the most common cognitive impairments, and they have been extensively studied various psychiatric disorders, especially schizophrenia. However, there is still a lack conclusive evidence about factors associated with schizophrenia impairment at each stage disease, which poses challenge to clinical management patients. Based on this, we summarize cognition among patients schizophrenia, introduce internationally recognized Bruce–Young face...
BACKGROUNDMajor depressive disorder (MDD) and posttraumatic stress (PTSD) are highly comorbid exhibit strong correlations with one another. We aimed to investigate mechanisms of underlying relationships between PTSD 3 kinds phenotypes, namely, MDD, depressed affect (DAF), depression (DEP, including both MDD the broad definition depression).METHODSGenetic phenotypes were tested using linkage disequilibrium score regression. Polygenic overlap analysis was used estimate shared trait-specific...
Abstract Despite the known benefits of data‐driven approaches, lack approaches for identifying functional neuroimaging patterns that capture both individual variations and inter‐subject correspondence limits clinical utility rsfMRI its application to single‐subject analyses. Here, using data from over 100k individuals across private public datasets, we identify replicable multi‐spatial‐scale canonical intrinsic connectivity network (ICN) templates via use multi‐model‐order independent...
Background The disconnection hypothesis of schizophrenia has been extensively tested in adults. Recent studies have reported the presence brain younger patients, adding evidence to support neurodevelopmental schizophrenia. Because drug confounds chronic and medicated it extremely challenging for researchers directly investigate abnormalities development connectivity their role pathophysiology present study aimed examine functional homotopy – a measure interhemispheric connection its...
Chemotherapy (CT) is an important adjuvant treatment that has been widely used for breast cancer (BC) patients. However, no research focused on trends in emotions and quality of life (QOL) during intermittent periods between CT sessions are critical recovery.The aim this study was to investigate longitudinal anxiety, depression, QOL the different BC.A design adopted. Eighty-eight women undergoing BC were selected using a purposive sampling method, they completed Self-rating Anxiety Scale...
Abstract Exploring brain changes across the human lifespan is becoming an important topic in neuroscience. Though there are multiple studies which investigated relationship between age and imaging, results heterogeneous due to small sample sizes relatively narrow ranges. Here, based on year‐wise estimation of 5,967 subjects from 13 72 years old, we aimed provide a more precise description adult variation trajectories gray matter volume (GMV), structural network correlation (SNC), functional...
A neuro-fuzzy ensemble model (NFE) is proposed in this paper for analysing the gene expression data from microarray experiments. The approach was tested on three benchmark cancer sets. Experimental results show that our NFE can be used as an efficient computational tool analysis. In addition, compared to some most widely approaches, (NF)-based models not only supply good classification results, but their behavior also explained and interpreted human understandable terms, which provides...
Background: This study aims to evaluate the effects of Group Cognitive Behavioral Therapy (GCBT) in treating major depression Chinese women with breast cancer.Methods: Sixty-two cancer patients diagnosed were randomly assigned GCBT group (N = 31) or a waiting list control provided an educational booklet 31). The primary outcome measure was 17-Item Hamilton Depression Rating Scale (17-HAMD). second measures Self-Rating Anxiety Scale, Functional Assessment Cancer – Breast and Self-Esteem...
Abstract To date, diagnosis of schizophrenia is still based on clinical interviews and careful observations, which subjective variable, can lead to misdiagnosis and/or delay in diagnosis. As early intervention important improving outcomes, objective tests that be used for or treatment monitoring are thus great need. MicroRNAs (miRNAs) negatively regulate target gene expression their biogenesis tightly controlled by various factors including transcription (TFs). Dysregulation miRNAs brain...
Early-onset schizophrenia (EOS) offers a unique opportunity to study pathophysiological mechanisms and development of schizophrenia. Using 26 drug-naïve, first-episode EOS patients 25 age- gender-matched control subjects, we examined intrinsic connectivity network (ICN) deficits underlying EOS. Due the emerging inconsistency between behavior-based psychiatric disease classification system brain dysfunctions, applied fully data-driven approach investigate whether subjects can be grouped into...
Exploring functional interactions among various brain regions is helpful for understanding the pathological underpinnings of neurological disorders. Brain networks provide an important representation those interactions, and thus are widely applied in diagnosis classification neurodegenerative diseases. Many mental disorders involve a sharp decline cognitive ability as major symptom, which can be caused by abnormal connectivity patterns several regions. However, conventional usually...