A5065007956- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Parkinson's Disease Mechanisms and Treatments
- Neural dynamics and brain function
- Treatment of Major Depression
- Mental Health Research Topics
- EEG and Brain-Computer Interfaces
- Neurological disorders and treatments
- Hernia repair and management
- Heart Rate Variability and Autonomic Control
- Diet and metabolism studies
- Mathematical and Theoretical Epidemiology and Ecology Models
- MRI in cancer diagnosis
- Glioma Diagnosis and Treatment
- Metabolism and Genetic Disorders
- Stress Responses and Cortisol
- Health, Environment, Cognitive Aging
- Laser Applications in Dentistry and Medicine
- Tissue Engineering and Regenerative Medicine
- Neural Networks Stability and Synchronization
- Optical Imaging and Spectroscopy Techniques
- Radiomics and Machine Learning in Medical Imaging
- Hydrogen's biological and therapeutic effects
- Reconstructive Surgery and Microvascular Techniques
South China Normal University
2013-2025
Jena University Hospital
2020-2024
Northeastern University
2024
Central South University
2012-2024
Hebei Medical University
2014-2024
Milliman (United States)
2024
Second Hospital of Hebei Medical University
2014-2024
Capital Medical University
2024
Chinese Academy of Sciences
2010-2024
Xiangya Hospital Central South University
2017-2024
Background: Alzheimer's disease (AD), one of the most common forms dementia, is a widely studied neurodegenerative characterized by Aβ accumulation and tau hyperphosphorylation. Currently, there no effective cure available for AD.The astrocyte AQP4 polarized distribution-mediated glymphatic system essential abnormal clearance potential therapeutic target AD.However, role exercise on distribution association between phenotype polarization are poorly understood.Methods: Using streptozotocin...
Abstract Purpose: To evaluate the roles of dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI) and optimum tracer kinetic parameters in noninvasive grading glial brain tumors with histopathological grades (I–IV). Materials Methods: Twenty‐eight patients histopathologically graded gliomas were imaged. Images five flip angles acquired before injection gadolinium‐DTPA processed to calculate T 1 value each region interest (ROI). All DCE‐MRI data during based on MRI signal...
The corona virus disease 2019 (COVID-19) is a highly contagious caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). More than 18 million people were infected with total of 0.7 deaths in ∼188 countries. Controlling spread SARS-CoV-2 therefore inherently dependent on identifying and isolating individuals, especially since COVID-19 can result little to no symptoms. Here, we provide comprehensive review different primary technologies used test for infection, discuss...
Abstract Machine learning (ML) techniques have gained popularity in the neuroimaging field due to their potential for classifying neuropsychiatric disorders. However, diagnostic predictive power of existing algorithms has been limited by small sample sizes, lack representativeness, data leakage, and/or overfitting. Here, we overcome these limitations with largest multi-site size date (N = 5365) provide a generalizable ML classification benchmark major depressive disorder (MDD) using shallow...
Abstract Increasing neuroimaging evidence suggests that mindfulness meditation expertise is related to different functional and structural configurations of the default mode network (DMN), salience (SN) executive at rest. However, longitudinal studies observing resting plasticity effects in brains novices who started practice are scarce generally one dimension, such as or effects. The purpose this study was investigate brain changes (e.g. DMN) after 40 days training set these context...
Abstract Dysfunctions in bottom‐up emotion processing (EP), as well top‐down regulation (ER) are prominent features pathophysiology of major depressive disorder (MDD). Nonetheless, it is not clear whether EP‐ and ER‐related areas regionally and/or connectively disturbed MDD. In addition, yet to be known how interactively linked regulatory behavior, this interaction disrupted our study, regional amplitude low frequency fluctuations (ALFF) whole‐brain functional connectivity (FC)...
Parkinson's disease (PD) is a progressive neurodegenerative characterized by both motor and non-motor symptoms. A convergent pathophysiological hallmark of PD an early selective vulnerability within the basal ganglia circuit. However, causal interactions between atrophy structural network alterations in remain unaddressed. Here, we adopted voxel-based morphometry method to measure gray matter (GM) volume for each participant (n = 84 patients n 70 matched healthy controls). Patients were...
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...
Repeated closed-head injuries (rCHI) from activities like contact sports, falls, military combat, and traffic accidents pose a serious risk due to their cumulative impact on the brain. Often, rCHI is not diagnosed until symptoms of irreversible brain damage appear, highlighting need for preventive measures. This study assessed prophylactic efficacy remote photobiomodulation (PBM) targeted at lungs against rCHI-induced injury associated behavioral deficits. Utilizing "Marmarou" weight-drop...
Ketamine is receiving increasing attention as a rapid-onset antidepressant in patients suffering from major depressive disorder (MDD) with treatment resistance or severe suicidal ideation. modulates several neurotransmitter systems, including norepinephrine via the transporter (NET), both peripherally and centrally. The locus coeruleus (LC), which has high NET concentration, been attributed to brain networks involved depression. Thus we investigated effects of single-dose racemic ketamine on...
Abstract Bulimia nervosa (BN) is characterized by episodic binge eating and purging behaviors. Disrupted neural processes of self-regulation, taste-rewarding, body image has been associated with the pathogenesis BN. However, structural basis for these behavioral functional deficits remains largely unknown. We employed diffusion tensor imaging graph theory approaches (including nodal properties network-based statistics (NBS)) to characterize whole-brain network 48 BN 44 healthy women. For...
Alzheimer's disease (AD) was associated with abnormal organization and function of large-scale brain networks. We applied group independent component analysis (Group ICA) to construct the triple-network consisting saliency network (SN), central executive (CEN), default mode (DMN) in 25 AD, 60 mild cognitive impairment (MCI) cognitively normal (CN) subjects. To explore dynamic functional connectivity (dFNC), we investigated time-varying interactions subjects using Group ICA based on k-means...
Background: Spinocerebellar ataxia type 3/Machado-Joseph disease (SCA3/MJD) is one of the nine polyglutamine (polyQ) diseases and caused by a CAG repeat expansion within coding sequence ATXN3 gene. Few multimodal imaging analyses macro- micro- structural changes have been performed. Methods: In present study, we recruited 31 genetically-confirmed symptomatic SCA3/MJD patients healthy subjects as controls for neuroimaging study using magnetic resonance (sMRI), proton spectroscopy (1H-MRS)...
Parkinson's disease (PD) is a neurodegenerative disorder characterized by extensive structural abnormalities in cortical and subcortical brain areas. However, an association between changes the functional networks white matter (BWM) symptoms remains unclear. With confirming evidence that resting-state magnetic resonance imaging (rs-fMRI) of BWM signals can effectively describe neuronal activity, this study investigated interactions among PD relative to healthy controls (HC). Sixty-eight...
As many countries face an ageing population, the number of older patients with glioblastoma (GB) is increasing. Thus, there urgent need for prognostic models to aid in treatment decision-making and life planning. A total 98 isocitrate dehydrogenase (IDH)-wild-type GB aged ≥65 years were analysed from January 2012 2020. Independent factors identified by analysis. Using independent overall survival (OS), a nomogram was constructed R software predict prognosis IDH-wild-type GB. The concordance...