Correlations Between Clinical Variables And Cerebral Perfusion in Parkinson’s Disease With Mild Cognitive Impairment: A Multi-Delay pcASL Study
Objective: To evaluate whether partial volume–corrected cerebral blood flow (pvCBF), with and without additional spatial smoothing (5 mm), improves detection of perfusion differences and clinical…Efficacy and Safety of GLP-1 Receptor Agonists in Parkinson’s Disease: A Meta-Analysis Integrating the 96-Week Phase 3 Exenatide Trial Results
Objective: To evaluate the efficacy and safety of glucagon-like peptide-1 receptor agonists in patients with Parkinson’s disease (PD) through an updated systematic review and meta-analysis…Temporal Ordering of Biomarker Abnormality Events Leading to Cognitive Impairment in Parkinson’s Disease: A Disease Event-Based Model Analysis of the PPMI Cohort
Objective: To estimate the temporal ordering of multimodal biomarker abnormality events leading to cognitive impairment in PD using a Disease Event-Based Model (DEBM), incorporating clinical,…Urate Levels and Risk of Parkinson’s Disease:A Two-Sample Mendelian Randomization Study
Objective: To investigate the causal relationship between circulating serum urate levels and the risk of Parkinson's disease (PD) using a two-sample Mendelian randomization (MR) approach.…Evaluating Parkinson’s Disease Telehealth in Residential Aged Care
Objective: To evaluate the use, barriers, outcomes, and clinician perspectives of specialist telehealth for Parkinson’s disease (PD) care in residential aged care facilities. Background: Specialist…Linear-Time RWKV Multimodal Fusion of Smartphone Audio and Wearable Signals for Mild Cognitive Impairment Screening
Objective: To evaluate linear-time RWKV-based multimodal fusion for classifying mild cognitive impairment (MCI) from synchronized smartphone audio and consumer wearable signals, and to compare alternative…Real-World Mobile Voice Classification for Parkinson’s Disease Using Convolutional Neural Networks and Mel-Spectrogram Features
Objective: To evaluate the performance of deep learning approach based on Mel-spectrogram features in classifying PD using two real-world speech tasks - sustained phonation and…Digital Innovation in Parkinson’s Disease – Governing Care and Managing Autonomy
Objective: The study analyzes the regulatory implications of digital technologies in Parkinson’s disease, with particular focus on (1) improvement of care and reduction of intensive…Intestinal Dysbiosis in Parkinson’s Disease: Mechanisms, Clinical Implications, and Therapeutic Perspectives (2015–2025)
Objective: This narrative review aims to consolidate research published from 2015 to 2025 regarding abnormalities in gut microbiota in patients with Parkinson’s disease, emphasizing potential…Exploring Usability and Feasibility of an Optimised Smartwatch to Monitor Medication Intake in Parkinson’s Disease
Objective: Explore usability and feasibility of an optimised smartwatch to monitor medication intake in people with Parkinson’s disease (PwP). Background: Digital health technology (DHT) can…
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