A5052590429- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Dementia and Cognitive Impairment Research
- Neural dynamics and brain function
- Advanced MRI Techniques and Applications
- Alzheimer's disease research and treatments
- Radiomics and Machine Learning in Medical Imaging
- Neuroscience and Neuropharmacology Research
- EEG and Brain-Computer Interfaces
- Epilepsy research and treatment
- Medical Imaging and Analysis
- Gene Regulatory Network Analysis
- Neuroinflammation and Neurodegeneration Mechanisms
- Rheumatoid Arthritis Research and Therapies
- Neurological disorders and treatments
- Traumatic Brain Injury and Neurovascular Disturbances
- Neurological Disease Mechanisms and Treatments
- Pharmacological Effects of Medicinal Plants
- Mental Health Research Topics
- Neurological diseases and metabolism
- Metabolomics and Mass Spectrometry Studies
- Spondyloarthritis Studies and Treatments
- Intracerebral and Subarachnoid Hemorrhage Research
- Receptor Mechanisms and Signaling
- Gaussian Processes and Bayesian Inference
Chinese PLA General Hospital
2016-2025
University of California, San Francisco
2025
Children's Hospital of Capital Institute of Pediatrics
2025
Army Medical University
2018-2024
Daping Hospital
2024
Stanford University
2019-2023
University of Electronic Science and Technology of China
2022
Chinese People's Liberation Army
2019-2021
Hainan Provincial Hospital of Traditional Chinese Medicine
2021
National Clinical Research
2020-2021
Abstract Alzheimer’s disease (AD) patients and those with high-risk mild cognitive impairment are increasingly considered to have dysfunction syndromes. Large-scale network studies based on neuroimaging techniques may provide additional insight into AD pathophysiology. The aim of the present study is evaluate impaired functional connectivity progression. For this purpose, we explored altered connectivities previously well-defined brain areas that comprise five key systems [the default mode...
The current study evaluated whether the functional connectivity pattern of thalamo-cortical network in patients with Alzheimer' s disease (AD) and mild cognitive impairment (MCI) would show severityrelated alterations.Resting-state magnetic resonance imaging (MRI) data were obtained from 35 AD, 27 MCI subjects normal cognition (NC). First, altered AD was comparison to NC subjects. Second, included evaluate how different stages affect thalamus. Finally, a correlation analysis performed...
Hippocampal morphological change is one of the main hallmarks Alzheimer's disease (AD). However, whether hippocampal radiomic features are robust as predictors progression from mild cognitive impairment (MCI) to AD dementia and these provide any neurobiological foundation remains unclear. The primary aim this study was verify can serve magnetic resonance imaging (MRI) markers for AD. Multivariate classifier-based support vector machine (SVM) analysis provided individual-level predictions...
Alzheimer's disease (AD) is characterized by progressive dementia, especially in episodic memory, and amnestic mild cognitive impairment (aMCI) associated with a high risk of developing AD. Hippocampal atrophy/shape changes are believed to be the most robust magnetic resonance imaging (MRI) markers for AD aMCI. Radiomics, method texture analysis, can quantitatively examine large set features has previously been successfully applied evaluate biomarkers To test whether radiomic hippocampus...
Abstract Precision medicine for Alzheimer's disease (AD) necessitates the development of personalized, reproducible, and neuroscientifically interpretable biomarkers, yet despite remarkable advances, few such biomarkers are available. Also, a comprehensive evaluation neurobiological basis generalizability end‐to‐end machine learning system should be given highest priority. For this reason, deep model (3D attention network, 3DAN) that can simultaneously capture candidate imaging with an...
Abstract Alzheimer's disease (AD) is associated with disruptions in brain activity and networks. However, there substantial inconsistency among studies that have investigated functional alterations AD; such contradictions hindered efforts to elucidate the core mechanisms. In this study, we aim comprehensively characterize AD‐associated using one of world's largest resting‐state MRI (fMRI) biobank for disorder. The includes fMRI data from six neuroimaging centers, a total 252 AD patients, 221...
Numerous studies have shown abnormal brain functional connectivity in individuals with Alzheimer's disease (AD) or amnestic mild cognitive impairment (aMCI). However, most examined traditional resting state connections, ignoring the instantaneous connection mode of whole brain. In this case-control study, we used a new method called dynamic (DFC) to look for abnormalities patients AD and aMCI. We calculated strength from magnetic resonance imaging data each participant, then support vector...
Alzheimer's disease (AD) is a neurodegenerative associated with widespread disruptions in intrinsic local specialization and global integration the functional system of brain. These changes may further disrupt signal (GS) distribution, which might represent relative contribution to activity magnetic resonance imaging (fMRI).
Alzheimer's disease (AD) is a prevalent neurodegenerative disorder that poses worldwide public health challenge. A neuroimaging biomarker would significantly improve early diagnosis and intervention, ultimately enhancing the quality of life for affected individuals reducing burden on healthcare systems.
Abstract BACKGROUND Alzheimer's disease (AD) is a neurodegenerative condition characterized by cognitive decline. To date, the specific dysfunction in brain's hierarchical structure AD remains unclear. METHODS We introduced structural decoupling index (SDI), based on multi‐site data set comprising functional and diffusion‐weighted magnetic resonance imaging from 793 subjects, to assess their brain hierarchy. RESULTS Compared normal controls (NCs), individuals with exhibited increased SDI...
Brain atrophy emerges as a distinctive hallmark in various neurodegenerative diseases, demonstrating progressive trajectory across diverse disease stages and concurrently manifesting tandem with discernible decline cognitive abilities. Understanding the individualized patterns of brain is critical for precision medicine prognosis diseases. However, it difficult to obtain longitudinal data compare changes before after onset In this study, we present deep disentangled generative model (DDGM)...
Objective This study evaluated the utility of single nucleotide polymorphism (SNP) microarray analysis in prenatal genetic assessment fetuses diagnosed with congenital heart disease (CHD), retrospectively analyzing pregnancy outcomes and their association physical intellectual development within first year life. Patients methods It included 105 CHD via echocardiography from January 2016 to June 2020, categorized into two groups: isolated cardiac structural abnormalities (76 cases) additional...
Background: Benign essential blepharospasm (BEB) is a neurologic disorder characterized by an adult-onset focal dystonia that causes involuntary blinking and eyelid spasms. The pathophysiology of BEB patients remains unclear. This study investigated intrinsic low-frequency fluctuation in during resting state functional magnetic resonance imaging (fMRI). Methods: included 9 with (mean age, 61.7 years; range, 52–66 years), whom the average duration symptoms was 2.7 ± 1.8 years, another...