A5075272891- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Nicotinic Acetylcholine Receptors Study
- Heart Rate Variability and Autonomic Control
- Medical Imaging Techniques and Applications
- Mental Health Research Topics
- Advanced Neuroimaging Techniques and Applications
- Advanced X-ray and CT Imaging
- Glioma Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- Pediatric Hepatobiliary Diseases and Treatments
- Meningioma and schwannoma management
- Bipolar Disorder and Treatment
- Melanoma and MAPK Pathways
- Bone and Joint Diseases
- Medical Imaging and Analysis
- Vascular Tumors and Angiosarcomas
- Cardiac Valve Diseases and Treatments
- Gestational Trophoblastic Disease Studies
- Musculoskeletal synovial abnormalities and treatments
- Obsessive-Compulsive Spectrum Disorders
- Brain Tumor Detection and Classification
- Cutaneous Melanoma Detection and Management
- Endometrial and Cervical Cancer Treatments
First Affiliated Hospital of Zhengzhou University
2022-2025
Zijun Liu, Baohong Wen, Ziyu Wang, Kaiyu Lizhi Xie, Yimeng Kang, Qiuying Tao, Weijian Yong Zhang, Jingliang Cheng, Yan Zhang
Internet gaming disorder (IGD) is mainly characterized by its core dysfunction in higher-order brain cortices involved inhibitory control, whose neurobiological basis remains unclear. Then, we will investigate local intrinsic neural activity (INA) alterations IGD, ascertain whether these potential are related to clinical characteristics, and further explore the underlying molecular architecture.
Abstract A growing body of evidence indicates the existence abnormal local and long‐range functional connection patterns in patients with alcohol use disorder (AUD). However, it has yet to be established whether AUD is associated interhemispheric intrahemispheric patterns. In present study, we analysed resting‐state magnetic resonance imaging data from 55 individuals 32 healthy nonalcohol users. For each subject, whole‐brain connectivity density (FCD) was decomposed into ipsilateral...
Smoking puts patients at high risk for cognitive and psychiatric disorders. The aim of this study was to explore the effects nicotine use on primary visual network (PVN) its association with neurotransmitters. A total 59 tobacco disorder (TUD) 51 healthy controls (HC) participated in underwent resting state functional magnetic resonance imaging scans. Functional connectivity (FC) within explored using independent component analysis. In addition, spatial correlations PVN changes...
Background Auditory verbal hallucinations (AVHs) are one of the signature positive symptoms schizophrenia, affecting a substantial portion patients with schizophrenia. These seriously impact lives patients, resulting in social burden. Recent studies have shown significant correlation between abnormal local brain activity and neurobiological mechanisms AVHs. However, it is not fully clear whether altered intrinsic schizophrenia AVHs correlated specific neurotransmitter systems. Methods We...
Motivation: Some immunohistochemical (IHC) markers are gradually accepted as vital prognostic factors guiding therapy in cervical cancer (CC). Goal(s): This study aimed to evaluate the relationship of time-dependent diffusion MRI (td-dMRI)-based microstructural mapping and IHC status CC. Approach: Quantitative information on cell microstructure obtained by fitting IMPULSED model td-dMRI data. Results: Intracellular fraction (fin) cellularity were significantly correlated with PD-L1...
Introduction Abnormal interactions among distributed brain systems are implicated in the mechanisms of nicotine addiction. However, relationship between structural covariance network, a measure connectivity, and smoking severity remains unclear. To fill this gap, study aimed to investigate network smokers. Methods A total 101 male smokers 51 non-smokers were recruited, they underwent T1-weighted anatomical image scan. First, an individualized was derived via jackknife-bias estimation...
Abstract Background Conventional hip joint MRI scans necessitate lengthy scan durations, posing challenges for patient comfort and clinical efficiency. Previously, accelerated imaging techniques were constrained by a trade-off between noise resolution. Leveraging deep learning-based reconstruction (DLR) holds the potential to mitigate time without compromising image quality. Methods We enrolled cohort of sixty patients who underwent DL-MRI, conventional MRI, No-DL examinations evaluate Key...