Yingwei Qiu

ORCID: 0000-0003-1298-8506
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About
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Research Areas
  • Functional Brain Connectivity Studies
  • Advanced Neuroimaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Epilepsy research and treatment
  • Glioma Diagnosis and Treatment
  • Cerebrospinal fluid and hydrocephalus
  • Mental Health Research Topics
  • Brain Metastases and Treatment
  • Radiomics and Machine Learning in Medical Imaging
  • Liver Disease and Transplantation
  • Cancer-related cognitive impairment studies
  • Fetal and Pediatric Neurological Disorders
  • Head and Neck Cancer Studies
  • Dementia and Cognitive Impairment Research
  • Obstructive Sleep Apnea Research
  • Heart Rate Variability and Autonomic Control
  • Neonatal and fetal brain pathology
  • Neurotransmitter Receptor Influence on Behavior
  • Infectious Encephalopathies and Encephalitis
  • Liver Disease Diagnosis and Treatment
  • Colorectal Cancer Surgical Treatments
  • Neuroscience of respiration and sleep
  • Hepatocellular Carcinoma Treatment and Prognosis
  • Neural and Behavioral Psychology Studies
  • Gastrointestinal motility and disorders

Union Hospital
2022-2025

Huazhong University of Science and Technology
2021-2025

ShenZhen People’s Hospital
2025

Shenzhen University
2025

Shenzhen Sixth People's Hospital
2023-2025

Peking University Shenzhen Hospital
2024

First Hospital of China Medical University
2024

China Medical University
2024

Guangzhou Medical University
2017-2023

Third Affiliated Hospital of Guangzhou Medical University
2017-2023

Background The role of perivascular space (PVS) dysfunction in obstructive sleep apnea (OSA) requires further study. Purpose To compare MRI indexes PVS across patients with differing severities OSA and relate them disease characteristics treatment. Materials Methods This single-center prospective study included healthy controls (HCs) complaints snoring who underwent cognitive evaluation between June 2021 December 2022. Participants were classified into four groups (snoring, mild OSA,...

10.1148/radiol.232274 article EN Radiology 2024-06-01

At least 227 combinations of symptoms meet the criteria for Major Depressive Disorder (MDD). However, in clinical practice, patients consistently present a regular rather than random manner, and neural basis underlying MDD subtypes remains unclear. To help clarify basis, with were clustered by symptom to investigate underpinning each subtype using functional resonance imaging (fMRI). Four symptom-based identified latent profile analysis according scales. Subsequently, brain dynamics...

10.1038/s41398-025-03238-1 article EN cc-by-nc-nd Translational Psychiatry 2025-01-28

Background and Purpose Cognitive impairment is a well-described phenomenon in end-stage renal disease (ESRD) patients. However, its pathogenesis remains poorly understood. The primary focus of this study was to examine structural functional brain deficits ESRD Materials Methods Thirty patients on hemodialysis (without clinical neurological disease) 30 age- gender-matched control individuals or problems) were recruited prospective, single-center study. High-resolution magnetic resonance...

10.1371/journal.pone.0098346 article EN cc-by PLoS ONE 2014-05-22

Depressed patients often suffer from sleep disturbance, which has been recognized to be responsible for glymphatic dysfunction. The purpose of this study was investigate the coupling strength global blood‑oxygen-level-dependent (gBOLD) signals and cerebrospinal fluid (CSF) inflow dynamics, is a biomarker function, in depressed explore its potential relationship with disturbance by using resting-state functional MRI. A total 138 (112 females, age: 34.70 ± 13.11 years) 84 healthy controls (29...

10.1016/j.jad.2024.03.023 article EN cc-by-nc-nd Journal of Affective Disorders 2024-03-12

To identify heroin-related modulations of neural activity in the resting state heroin-dependent individuals (HDIs) by using resting-state functional magnetic resonance (MR) imaging and a regional homogeneity method to investigate whether these changes can be related duration heroin use decision-making deficits HDIs.This prospective study was approved appropriate ethics committee, written informed consent obtained from each participant. Thirty-one HDIs receiving methadone-maintained treatment...

10.1148/radiol.11102466 article EN Radiology 2011-08-27

Background To investigate the WM microstructure deficits in heroin dependent individuals (HDIs) with different length of dependence, and to whether these can be related duration use decision-making HDIs. Methodology/Principal Findings Thirty-six HDIs [including eighteen sHDIs (duration is less than 10 years) lHDIs between 10∼20 years)] sixteen healthy controls participated this study. Whole brain voxel-wise analysis fractional anisotropy (FA), mean diffusivity (MD), axial (Da) radial (Dr)...

10.1371/journal.pone.0063212 article EN cc-by PLoS ONE 2013-05-01

Background Little is known about connectivity within the default mode network (DMN) in heroin-dependent individuals (HDIs). In current study, diffusion-tensor imaging (DTI) and resting-state functional MRI (rs-fMRI) were combined to investigate both structural DMN HDIs. Methods Fourteen HDIs 14 controls participated study. Structural (path length, tracts count, (fractional anisotropy) FA (mean diffusivity) MD derived from DTI tractography)and (temporal correlation coefficient rs-fMRI)...

10.1371/journal.pone.0120861 article EN cc-by PLoS ONE 2015-04-10

Abstract Major depressive disorder (MDD) is a severe brain disease associated with significant risk of suicide. Identification suicidality sometimes life-saving for MDD patients. We aimed to explore the use dynamic functional network connectivity (dFNC) detection in A total 173 patients, including 48 without suicide (NS), 74 ideation (SI), and 51 having attempted (SA), participated present study. Thirty-eight healthy controls were also recruited comparison. sliding window approach was used...

10.1038/s41398-022-02147-x article EN cc-by Translational Psychiatry 2022-09-12

Neuroimaging studies have shown that heroin addiction is related to abnormalities in widespread local regions and the functional connectivity of brain. However, little known about whether changes topological organization whole-brain networks. Seventeen heroin-dependent individuals (HDIs) 15 age-, gender-matched normal controls (NCs) were enrolled, resting-state magnetic resonance images (RS-fMRI) acquired from these subjects. We constructed brain networks HDIs NCs, compared between-group...

10.1371/journal.pone.0082715 article EN cc-by PLoS ONE 2013-12-17

Background: Variants in triggering receptor expressed on myeloid cells 2 (TREM2) are associated with increased Alzheimer’s disease (AD) risk. Recent studies have reported inconsistent peripheral TREM2 mRNA expression levels and relationship cognitive scores AD mild impairment (MCI). Additionally, no study has examined the association of neuroimaging measures MCI. Objective: To determine AD, amnestic MCI (aMCI) healthy controls, performance brain structural changes. Methods: We measured 80 30...

10.3233/jad-161277 article EN Journal of Alzheimer s Disease 2017-04-25

Abstract Evidences suggested that both corpus callosum (CC) degeneration and alternations of homotopic inter-hemispheric functional connectivity (FC) are present in Alzheimer’s disease (AD). However, the associations between region-specific CC FC their relationships with memory deficits AD remain uncharacterized. We hypothesized selective is associated impairment amnestic mild cognitive (aMCI), which mediated by dysconnectivity. Using structural magnetic resonance imaging (MRI) task-free...

10.1038/srep32573 article EN cc-by Scientific Reports 2016-09-01

To construct a predictive model of short-term response and overall survival for transcatheter arterial chemoembolization (TACE) treatment in hepatocellular carcinoma (HCC) patients based on non-contrast computed tomography (NC-CT) radiomics clinical features.Ninety-four HCC who underwent CT scanning 1 week before the first TACE were retrospectively recruited divided randomly into training group (n = 47) validation 47). NC-CT data extracted using MaZda software, compound was calculated from...

10.2147/jhc.s316117 article EN cc-by-nc Journal of Hepatocellular Carcinoma 2021-07-01

Background Multiparametric MRI, including contrast-enhanced sequences, is recommended for evaluating suspected prostate cancer, but concerns have been raised regarding potential contrast agent accumulation and toxicity. Purpose To evaluate the feasibility of generating simulated MRI from noncontrast sequences using deep learning to explore their value assessing clinically significant cancer Prostate Imaging Reporting Data System (PI-RADS) version 2.1. Materials Methods Male patients with who...

10.1148/radiol.240238 article EN Radiology 2025-01-01

Many studies have reported that cognitive deficits exist in cirrhotic patients without overt hepatic encephalopathy (OHE). However, the neurobiological mechanisms underlying these are still not fully understood.To investigate regional activity abnormalities with hepatitis B virus-related cirrhosis (HBV-RC) OHE using resting-state functional MRI (Rs-fMRI), and to examine relationship between impaired cognition.A newly homogeneity (ReHo) approach was used compare local synchronization of...

10.1111/liv.12096 article EN Liver International 2012-12-24

Models of heroin addiction emphasize the role disrupted frontostriatal circuitry supporting cognitive control processes. However, addiction-related alterations in functional and structural interactions among brain regions, especially between cerebral hemispheres, are rarely examined directly. Resting-state magnetic resonance imaging (fMRI) approaches, which reveal patterns coherent spontaneous fluctuations fMRI signal, offer a means to quantify directly hemispheres. The corpus callosum (CC),...

10.1111/adb.12387 article EN Addiction Biology 2016-03-09

Emotion decoding using Electroencephalography (EEG)-based affective brain-computer interfaces represents a significant area within the field of computing. In present study, we propose novel non-deep transfer learning method, termed as Manifold-based Domain adaptation with Dynamic Distribution (MDDD). The proposed MDDD includes four main modules: manifold feature transformation, dynamic distribution alignment, classifier learning, and ensemble learning. data undergoes transformation onto an...

10.48550/arxiv.2404.15615 preprint EN arXiv (Cornell University) 2024-04-23

Primary AT/RT is a rare highly malignant tumor of the CNS, usually occurring in children younger than 5 years age. The objective this study was to characterize CT and MR imaging findings series adult patients with pathologically proved AT/RT. All AT/RTs were supratentorial. In 2 who underwent nonenhanced CT, tumors appeared isoattenuated, 1 contained calcifications. Solid portions on isointense T1-weighted, T2-weighted, FLAIR images, case showed restricted diffusion DWI. also demonstrated...

10.3174/ajnr.a2361 article EN cc-by American Journal of Neuroradiology 2010-11-04
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