A5103216530- Functional Brain Connectivity Studies
- Obsessive-Compulsive Spectrum Disorders
- Bipolar Disorder and Treatment
- Stress Responses and Cortisol
- Mental Health Research Topics
- Schizophrenia research and treatment
- Atomic and Subatomic Physics Research
- Tryptophan and brain disorders
- Advanced Neuroimaging Techniques and Applications
- Advanced Neural Network Applications
- Advanced MRI Techniques and Applications
- Treatment of Major Depression
- Brain Tumor Detection and Classification
- Attention Deficit Hyperactivity Disorder
- Autism Spectrum Disorder Research
- Maternal Mental Health During Pregnancy and Postpartum
- Fuel Cells and Related Materials
- Transcranial Magnetic Stimulation Studies
- Nuclear Materials and Properties
- Neural and Behavioral Psychology Studies
- Body Image and Dysmorphia Studies
- Advanced battery technologies research
- Domain Adaptation and Few-Shot Learning
- Prion Diseases and Protein Misfolding
- Advanced Battery Technologies Research
Hangzhou Seventh Peoples Hospital
2017-2025
Zhejiang University
2019-2025
Northeastern University
2024
Shanghai Mental Health Center
2016-2022
Shanghai Jiao Tong University
2015-2022
University of Science and Technology Beijing
2022
Lindner Center of HOPE
2020
Haukeland University Hospital
2020
State Key Laboratory of Clean Energy Utilization
2019
East China University of Science and Technology
2019
This study presents a novel continuous learning framework tailored for brain tumour segmentation, addressing critical step in both diagnosis and treatment planning. addresses common challenges such as computational complexity, limited generalisability, the extensive need manual annotation.
Abstract Glial damage and immune dysfunction are involved in pathogenesis of schizophrenia. However, interaction between glial schizophrenia is undefined. This study aims to compare plasma S100 calcium binding protein (S100B) levels patients healthy participants determine if markers independently related with concentration S100B patients. Forty-one thirty-three volunteers were enrolled. Enzyme-linked immunosorbent assay (ELISA) was used assess the concentrations inflammatory markers. We...
This study aims to explore the intrinsic patterns of spontaneous activity bipolar depression (BD) patients by analyzing fractional amplitude low frequency fluctuation (fALFF) that help differentiate BD from unipolar depressive disorder(UD). Twenty eight with BD, 47 UD and 29 healthy controls were enrolled receive resting-state functional magnetic resonance imaging (rs-fMRI) scans. The group differences fALFF values calculated among three groups. In addition, correlations between clinical...
Introduction Glioma segmentation is vital for diagnostic decision-making, monitoring disease progression, and surgical planning. However, this task hindered by substantial heterogeneity within gliomas imbalanced region distributions, posing challenges to existing methods. Methods To address these challenges, we propose the DeepGlioSeg network, a U-shaped architecture with skip connections continuous contextual feature integration. The model includes two primary components. First, CTPC...
While doctors should analyze a large amount of electronic medical record (EMR) data to conduct clinical research, the analyzing process requires information technology (IT) skills, which is difficult for most in China. In this paper, we build novel tool QAnalysis, where enter their analytic requirements natural language and then returns charts tables doctors. For given question from user, first segment sentence, use grammar parser structure sentence. After linking segmentations concepts...
Distinguishing bipolar depression (BD) from unipolar (UD) based on symptoms only is challenging. Brain functional connectivity (FC), especially dynamic FC, has emerged as a promising approach to identify possible imaging markers for differentiating BD UD. However, most of such studies utilized conventional FC and group-level statistical comparisons, which may not be sensitive enough quantify subtle changes in the dynamics between In this paper, we present more effective individualized...
Brain structural and functional alterations have been reported in obsessive-compulsive disorder (OCD) patients; however, these findings were inconsistent across studies due to several limitations, including small sample sizes, different inclusion/exclusion criteria, varied demographic characteristics symptom dimensions, comorbidity, medication status. Prominent replicable neuroimaging biomarkers remain be discovered.This study explored the gray matter structure, neural activity, white...
The insular cortex appears to have a crucial role in emotional processing and cognitive control bipolar disorder (BD). However, most previous studies focused on the entire region of BD, neglecting topological profile its subregions. Our study aimed investigate subregion characteristics using resting-state functional connectivity (rsFC) patients with BD depression episode. magnetic resonance imaging (MRI) data 28 depressed age- gender-matched healthy controls (HCs) were acquired. We observed...
Major Depressive Disorder (MDD) is the most prevalent psychiatric disorder, seriously affecting people’s quality of life. Manually identifying MDD from structural magnetic resonance imaging (sMRI) images laborious and time-consuming due to lack clear physiological indicators. With development deep learning, many automated identification methods have been developed, but them stay in 2D images, resulting poor performance. In addition, heterogeneity also results slightly different changes...
Bipolar Disorder (BD) features with various of clinical symptoms, leading to the misdiagnosis major depressive disorder (MDD). The atypical (ATFs) are regarded as one valuable index identify BD from depressed patients. ATFs should be helpful differential diagnose two diseases. In this forum, we discussed issue relation between and BD.双相障碍（Bipolar Disorder，BD）临床症状多样， 容易被误诊为抑郁症（Major disorder， MDD）。非典型症状（Atypical Features，ATFs）是一 个有用的指标，可以从抑郁状态中识别出双相障碍， 有助于双相障碍与抑郁症的鉴别诊断。本文就非典型 症状与双相障碍的相关性问题进行讨论。.