A5103239025- Advanced Neuroimaging Techniques and Applications
- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
- Advanced MRI Techniques and Applications
- Voice and Speech Disorders
- Advanced Neural Network Applications
- RNA regulation and disease
- Medical Image Segmentation Techniques
- Mesenchymal stem cell research
- Anesthesia and Pain Management
- Pediatric Pain Management Techniques
- Genetic Neurodegenerative Diseases
- Cell Image Analysis Techniques
- Computational Physics and Python Applications
- Brain Tumor Detection and Classification
- Neural Networks and Applications
- Antenna Design and Optimization
- Music Therapy and Health
- Cardiovascular Health and Disease Prevention
- Functional Brain Connectivity Studies
- MRI in cancer diagnosis
- Soft tissue tumor case studies
- Cerebrovascular and Carotid Artery Diseases
- Urologic and reproductive health conditions
- Hearing, Cochlea, Tinnitus, Genetics
Chang Gung University
2015-2025
Chang Gung Memorial Hospital
1992-2015
National Yang Ming Chiao Tung University
2011-2012
Taipei Veterans General Hospital
2011-2012
Improving HRQOL is the desired outcome for patients with stroke undergoing inpatient rehabilitation services. This study aimed to comprehensively identify potential health-related quality of life (HRQOL) predictors in within first year after stroke; thus far, such an investigation has not been conducted.We enrolled 119 (88 males, 31 females) stroke, and examined 12 predictors: age, sex, type, side, duration onset, cognition (Mini-Mental State Examination; MMSE), depression (Beck Depression...
Summary Mammalian aging of many tissues is associated with a decline in the replicative and functional capacity somatic stem cells. Understanding basis this major goal research. Human bone marrow‐derived multipotent stromal cells (MSCs) have been applied treatment fracture nonunion. Clinical application MSCs requires abundant that can be overcome by ex vivo expansion cells, but often at expense stemness differentiation potentiality. We first demonstrated late‐passage exhibited decreased...
Disruption to white matter pathways is an important contributor the pathogenesis of Parkinson's disease. Fixel-based analysis has recently emerged as a useful fiber-specific tool for examining structure. In this longitudinal study, we used investigate changes occurring over time in patients with Fifty idiopathic disease (27 men and 23 women; mean age: 61.8 ± 6.1 years), were enrolled. Diffusion-weighted imaging clinical examinations performed at three different points (baseline, first...
Non-motor symptoms of Parkinson's disease (PD) have been receiving increasing attention. Approximately half patients with PD experience PD-related pain. We investigated the effect and mechanism acupuncture in who pain were divided into group control group. Nine completed treatment; seven received only an analgesic agent underwent resting-state functional magnetic resonance imaging (rs-fMRI) twice. fMRI was performed to evaluate connectivity brain regions. After treatment, a decrease total...
The progression of Parkinson's disease (PD) is associated with microstructural alterations in neural pathways, contributing to both motor and cognitive decline. However, conflicting findings have emerged due the use heterogeneous methods small studies. Here we performed a large diffusion MRI study PD, integrating data from 17 cohorts worldwide, identify stage-specific profiles white matter differences. Diffusion-weighted 1654 participants diagnosed PD (age: 20–89 years; 33% female) 885...
Abstract Background Increasing evidence points to a pathophysiological role for the cerebellum in Parkinson's disease (PD). However, regional cerebellar changes associated with motor and non‐motor functioning remain be elucidated. Objective To quantify cross‐sectional lobule volumes using three dimensional T1‐weighted anatomical brain magnetic resonance imaging from global ENIGMA‐PD working group. Methods Cerebellar parcellation was performed deep learning‐based approach 2487 people PD 1212...
The existing single-pulse search algorithms for fast radio bursts (FRBs) do not adequately consider the frequency bandpass pattern of pulse, rendering them incomplete relatively narrow-spectrum detection pulses. We present a new algorithm narrow-band pulses to update standard pipeline, Bandpass-Adaptive Single-pulse SEarch Toolkit (BASSET). BASSET employs time-frequency correlation analysis identify and remove noise involved by zero-detection band, thereby enhancing signal-to-noise ratio...
ABSTRACT Recent innovations in artificial intelligence (AI) have increasingly focused on large-scale foundational models that are more general purpose contrast to conventional trained perform specialized tasks. Transformer-based architectures become the standard backbone foundation across data modalities (image, text, audio, video). There has been a keen interest applying parameter-efficient fine-tuning (PEFT) methods adapt these downstream tasks language and vision. These particularly...
Parkinson's disease is the second most common neurodegenerative disease. Despite this, there are no robust biomarkers to predict progression, and understanding of mechanisms limited. We used Subtype Stage Inference algorithm characterize heterogeneity in terms spatiotemporal subtypes macroscopic atrophy detectable on T1-weighted MRI-a successful approach other diseases. trained model covariate-adjusted cortical thicknesses subcortical volumes from largest known MRI dataset disease, Enhancing...
Abstract To realize the therapeutic potential of mesenchymal stem cells (MSCs), we aimed to develop a method for isolating and expanding New Zealand rabbit MSCs in great scale. Rabbit expanded under hypoxic normoxic conditions were compared terms replication capacity, differentiation potential, capacity allogeneic transplantation calvarial defect model. The from all tested rabbits more rapidly when plated at low‐density conditions. Moreover, increased osteoblastic, adipocytic, chondrocytic...
There are currently no specific tests for either idiopathic Parkinson's disease or Parkinson-plus syndromes. The study aimed to investigate the diagnostic performance of features extracted from whole brain using diffusion tensor imaging concerning parkinsonian disorders. retrospective data yielded 625 participants (average age: 61.4 ± 8.2, men/women: 313/312; healthy controls/idiopathic disease/multiple system atrophy/progressive supranuclear palsy: 219/286/51/69) between 2008 and 2017....
Introduction: White matter degeneration may contribute to clinical symptoms of parkinsonism. Objective: We used fixel-based analysis (FBA) compare the extent and patterns white in different parkinsonian syndromes—including idiopathic Parkinson's disease (PD), multiple system atrophy (MSA), progressive supranuclear palsy (PSP). Methods: This is a retrospective interpretation prospectively acquired data patients recruited previous studies during 2008 2019. Diffusion-weighted images were on...
The purpose of the study is to evaluate reproducibility and repeatability compartmental diffusion measurement. Two identical whipping cream phantoms two healthy Sprague-Dawley rats were scanned on a 7T MR scanner, each repeated for three times. Diffusion weighted images acquired along 30 non-collinear gradient directions, with four b-values 750, 1500, 2250 3000 s/mm2. Slice thickness field view used create different combinations voxel sizes, varied between 1.210 2.366 mm3 in phantom...
White matter (WM) tract alterations are early signs of cognitive impairment in Parkinson disease (PD) patients. Fixel-based analysis (FBA) has advantages over traditional diffusion tensor imaging managing complex and crossing fibers. We used FBA to measure fiber-specific changes patients with PD mild (PD-MCI) normal cognition (PD-NC).
Abstract Background The progression of Parkinson’s disease (PD) is associated with microstructural alterations in neural pathways, contributing to both motor and cognitive decline. However, conflicting findings have emerged due the use heterogeneous methods small studies, particularly regarding involvement white matter (WM) tracts. Here we performed largest diffusion MRI study PD date, integrating data from 17 cohorts worldwide, identify stage-specific profiles WM differences. Methods...
Progressive supranuclear palsy (PSP) is characterized by a rapid and progressive clinical course. A timely objective image-based evaluation of disease severity before standard assessments might increase the diagnostic confidence neurologist. We sought to investigate whether features from diffusion tensor imaging entire brain with machine learning algorithm, rather than few pathogenically involved regions, may predict PSP. Fifty-three patients who met criteria for probable PSP were subjected...
Microstructure damage in white matter might be linked to regional and global atrophy Huntington’s Disease (HD). We hypothesize that degeneration of subcortical regions, including the basal ganglia, is associated with tracts linking these affected regions. aim use fixel-based analysis identify microstructural changes tracts. To further assess gray damage, diffusion tensor-derived indices were measured from regions interest located ganglia. Diffusion weighted images acquired 12 patients HD...
There is great interest in developing radiological classifiers for diagnosis, staging, and predictive modeling progressive diseases such as Parkinson's disease (PD), a neurodegenerative that difficult to detect its early stages. Here we leverage severity-based meta-data on the stages of define curriculum training deep convolutional neural network (CNN). Typically, learning networks are trained by randomly selecting samples each mini-batch. By contrast, strategy aims boost classifier...
Parkinson's disease (PD) is a progressive neurodegenerative that affects over 10 million people worldwide. Brain atrophy and microstructural abnormalities tend to be more subtle in PD than other age-related conditions such as Alzheimer's disease, so there interest how well machine learning methods can detect radiological scans. Deep models based on convolutional neural networks (CNNs) automatically distil diagnostically useful features from raw MRI scans, but most CNN-based deep have only...
Robust early prediction of clinical outcomes in Parkinson’s disease (PD) is paramount for implementing appropriate management interventions. We propose a method that uses the baseline MRI, measuring diffusion parameters from multiple parcellated brain regions, to predict 2-year outcome disease. Diffusion tensor imaging was obtained 82 patients (males/females = 45/37, mean age: 60.9 ± 7.3 years, and after 23.7 0.7 months) using 3T MR scanner, which normalized according Automated Anatomical...