A5069797893- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Functional Brain Connectivity Studies
- Genetic Neurodegenerative Diseases
- Pituitary Gland Disorders and Treatments
- Dementia and Cognitive Impairment Research
- EEG and Brain-Computer Interfaces
- RNA regulation and disease
- Adrenal Hormones and Disorders
- Medical Imaging Techniques and Applications
- Neural dynamics and brain function
- Lanthanide and Transition Metal Complexes
- Voice and Speech Disorders
- Neuroscience and Neuropharmacology Research
- MRI in cancer diagnosis
- Neurological and metabolic disorders
- Transcranial Magnetic Stimulation Studies
- Atomic and Subatomic Physics Research
- Glioma Diagnosis and Treatment
- Electron Spin Resonance Studies
- Stroke Rehabilitation and Recovery
- Cerebrospinal fluid and hydrocephalus
- Advanced X-ray and CT Imaging
Ruijin Hospital
2015-2024
Shanghai Jiao Tong University
2015-2024
John Wiley & Sons (United States)
2021
Hudson Institute
2021
Taipei Medical University-Shuang Ho Hospital
2019
Abstract In Parkinson's disease (PD), iron elevation in specific brain regions as well selective loss of dopaminergic neurons is a major pathologic feature. A reliable quantitative measure deposition potential biomarker for PD and may contribute to the investigation iron‐mediated PD. The primary purpose this study assess variations multiple deep grey matter nuclei early with novel MRI technique, susceptibility mapping (QSM). inter‐group differences R2 * value nuclei, namely head caudate...
Parkinson's disease (PD) is a clinically heterogeneous chronic progressive neuro-degenerative with loss of dopaminergic neurons in the nigrosome 1 (N1) territory substantia nigra pars compacta (SNpc). To date, there has been major effort to identify changes N1 by monitoring increases iron SNpc. However, no standard protocol being used visualize or characterize territory. Therefore, purpose this study was create robust high quality, rapid imaging protocol, determine slice characterization...
Background: Iron is important in the pathophysiology of Parkinson's disease (PD) specifically related to degeneration substantia nigra (SN). Magnetic resonance imaging (MRI) can be used measure brain iron entire structure but this approach insensitive regional changes content. Objective: The goal work was use quantitative susceptibility mapping (QSM) and R2∗ quantify both global PD patients healthy controls (HC) ascertain if correlate with clinical conditions discriminate from controls....
Computerized multi-model training has been widely studied for its effect on delaying cognitive decline. In this study, we designed the first Chinese-version computer-based mild impairment (MCI) patients. Neuropsychological effects and neural activity changes assessed by functional MRI were both evaluated. MCI patients in group asked to take 3–4 times per week 6 months. resting-state fMRI assessment performed at baseline Patients groups continuously followed up another 12 months...
Introduction: The loss of nigrosome-1 which is also referred to as the swallow tail sign (STS) in T2* weighted iron-sensitive magnetic resonance imaging (MRI) has recently emerged a new biomarker for idiopathic Parkinson's disease (IPD). However, consistent recognition STS difficult due individual variations and different parameters. Radiomics might have potential overcome these shortcomings. Therefore, we chose explore whether radiomic features substantia nigra (SN) based on quantitative...
Parkinson's disease is the second most common neurodegenerative in elderly after Alzheimer's disease. The aetiology and pathogenesis of (PD) are still unclear, but loss dopaminergic cells excessive iron deposition substantia nigra (SN) associated with pathophysiology. As an imaging technique that can quantitatively reflect amount deposition, Quantitative Susceptibility Mapping (QSM) has been shown to be a promising modality for diagnosis PD. In present work, we propose hybrid feature...
Diagnosing early stage Parkinson's disease (PD) is still a clinical challenge. Previous studies using iron, neuromelanin (NM) or the Nigrosome-1 (N1) sign in substantia nigra (SN) by themselves have been unable to provide sufficiently high diagnostic performance for these methods be adopted clinically. Our goal this study was extract NM complex volume, iron content and volume representing entire SN, N1 as potential complementary imaging biomarkers single 3D magnetization transfer contrast...
Abstract Introduction Cognitive training and physical exercise have shown positive effects on delaying progression of mild cognitive impairment (MCI) to dementia. Methods We explored the enhancing effect from Tai Chi when it was provided with for MCI. In first 12 months, group (CT) had training, mixed (MixT) additional training. second only a subgroup MixT. Results MixT CT groups were benefited Compared group, reference baseline. addition, short‐time prolonged further delayed decline in...
Parkinson's disease (PD) is a heterogeneous neurodegenerative disorder with variable clinicopathologic phenotypes and underlying neuropathologic mechanisms. Each clinical phenotype has unique set of motor symptoms. Tremor the most frequent initial symptom PD difficult to treat. The dentate nucleus (DN) deep iron‐rich in cerebellum may be involved tremor. In this study, we test hypothesis that DN iron elevated tremor‐dominant patients using quantitative susceptibility mapping. Forty‐three [19...
Parkinson's disease (PD) is a neurodegenerative characterized by dysfunction in distributed functional brain networks. Previous studies have reported abnormal changes static connectivity using resting-state magnetic resonance imaging (fMRI). However, the dynamic characteristics of networks PD still poorly understood. This study aimed to quantify patients at nodal, intra- and inter-subnetwork levels. Resting-state fMRI data total 42 40 normal controls (NCs) were investigated from perspective...
Purpose To evaluate the effect of resolution on iron content using quantitative susceptibility mapping (QSM); to verify consistency QSM across field strengths and manufacturers in evaluating deep gray matter (DGM) human brain subjects from multiple sites; establish a baseline as function age for each DGM structure both global regional analysis. Methods Data 623 healthy adults, ranging 20 90 years old, were collected 3 sites gradient echo imaging one 1.5 Tesla two 3.0 MR scanners. Eight...
Abstract Aberrant dynamic switches between internal brain states are believed to underlie motor dysfunction in Parkinson’s disease. Deep stimulation of the subthalamic nucleus is a well-established treatment for symptoms disease, yet it remains poorly understood how modulates whole-brain intrinsic network state dynamics. To investigate this, we acquired resting-state functional magnetic resonance imaging time-series data from 27 medication-free patients with disease (mean age: 64.8 years,...
Abstract Parkinson's disease (PD) diagnosis based on magnetic resonance imaging (MRI) is still challenging clinically. Quantitative susceptibility maps (QSM) can potentially provide underlying pathophysiological information by detecting the iron distribution in deep gray matter (DGM) nuclei. We hypothesized that learning (DL) could be used to automatically segment all DGM nuclei and use relevant features for a better differentiation between PD healthy controls (HC). In this study, we...
Background Accurate detection and morphology evaluation of unruptured intracranial aneurysms (UIAs) are essential for patient management. This study aimed to assess the efficacy ultra-high-resolution (UHR) photon-counting detector-CT angiography (PCD-CTA) in detecting UIAs characterizing their morphological features. Methods prospective recruited consecutive participants suspected cerebral vascular diseases who underwent PCD-CTA subsequent digital subtraction (DSA) within 1 month from...
Background The hardware and software differences between MR vendors individual sites influence the quantification of spectroscopy data. An analysis a large data set may help to better understand sources total variance in quantified metabolite levels. Purpose To compare multisite quantitative brain acquired healthy participants at 26 by using vendor-supplied single-voxel point-resolved (PRESS) sequence. Materials Methods protocol acquire short-echo-time PRESS from midparietal region was...
To date there are no validated MRI biomarkers to assist diagnosis of Parkinson's disease (PD). Our aim was investigate PD related iron changes in the substantia nigra pars compacta (SNpc) as defined by neuromelanin-sensitive MR contrast. Thirty-nine participants and 33 healthy controls were scanned at 3.0-T using a 16-echo gradient echo sequence create R2* maps for evaluation content find overlap with neuromelanin based SNpc mask. The percentage map, values both whole volume compared between...
Objective The subthalamic nucleus (STN) and internal globus pallidus (GPi) are the most effective targets in deep brain stimulation (DBS) for Parkinson's disease (PD). However, common specific effects on connectivity of stimulating 2 nuclei remain unclear. Methods Patients with PD receiving STN‐DBS (n = 27, 6 women, mean age 64.8 years) or GPi‐DBS 28, 13 64.6 were recruited resting‐state functional magnetic resonance imaging to assess dynamics. Results both between somatosensory‐motor...
ABSTRACT Background Previous studies investigating nigral iron accumulation used T 2 or *‐weighted contrasts to define the regions of interest (ROIs) in substantia nigra with mixed results. Because these are not sensitive neuromelanin, ROIs may have inadvertently missed SNpc. An approach neuromelanin should yield consistent We examine deposition derived from neuromelanin‐sensitive and contrasts, respectively. Methods 1 ‐weighted multiecho gradient echo imaging data were obtained cohorts....
Task-related reorganization of functional connectivity (FC) has been widely investigated. Under classic static FC analysis, brain networks under task and rest have demonstrated a general similarity. However, activity cognitive process are believed to be dynamic adaptive. Since inherently ignores the distinct temporal patterns between task, may more suitable technique characterize brain’s adaptive activities. In this study, we adopted [Formula: see text]-means clustering investigate...