Zonisamide for Motor Symptoms and OFF-Time Reduction in Parkinson’s Disease: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Objective: To evaluate the efficacy and safety of zonisamide as an adjunct therapy for improving motor function and reducing OFF-time in patients with Parkinson’s disease…Unraveling the Intertwined Relationship of DBS, Parkinson’s Disease Subtype and LEDD: A Retrospective Study
Objective: To assess the impact of deep brain stimulation (DBS) target and Parkinson’s disease (PD) motor subtype on the total levodopa equivalent daily dose (LEDD)…Carvacrol modulates rotenone-induced Nigrostriatal Neuronal Death and Angiogenesis via targeting AMPK/FOXO3 transcription factor O3 Signaling cascade
Objective: With an eye toward its effects on striatal angiogenesis and the AMPK/ FOXO3 transcription factor O3 pathway, this work attempts to investigate the neuroprotective…Novel Insights into the Association Between Parkinson’s Disease and Constipation: Role of SHMT2 as a Promising Biomarker
Objective: This study aims to analyze the shared molecular pathways between Parkinson’s disease (PD) and constipation through integrative bioinformatics methodologies and further validate candidate biomarkers…Alpha-Synuclein Amplification Assays Utilizing Real-Time Quaking-Induced Conversion (RT-QuIC) from Non-Invasive Saliva as a Novel Diagnostic Tool for Patients with Parkinson’s Disease
Objective: The main objective is to evaluate the sensitivity of aSyn-RT-QuIC in diagnosing Parkinson's Disease (PD) from non-invasive saliva. The results will be corroborated in…iPad App-based Eye Tracking for the Early Detection of Parkinson’s Disease
Objective: Demonstrate the concurrent validity, diagnostic accuracy, and early detection ability of an iPad app-based eye tracking tool for the early detection of Parkinson’s disease…Associations among blood biomarkers, clinical subtypes, and prognosis in Parkinson’s disease
Objective: The aim of the present study was to test whether plasma NF-L, FABP3, UCH-L1, and gray matter volumes can be used as prognostic biomarkers…Glossography – a novel, computer-vision based technique for assessing and treating involuntary tongue movements in dyskinetic episodes in Parkinson’s disease
Objective: To develop and evaluate a novel deep learning-based computer vision approach for tracking tongue movements in Parkinson's disease (PD) patients with levodopa-induced dyskinesias to…Neural Network Models Predict Parkinson’s Disease Using Brief-Action Motion Sensor Data
Objective: To develop and evaluate deep-learning models for predicting Parkinson’s disease using brief-action motion-sensor data from sit-to-stand and turning tasks.To develop and evaluate deep-learning models…Tracking Cognitive Decline and Understanding Study Dropout in PD-GBA
Objective: Analyze which cognitive functions are affected in PD_GBA+, and which factors are linked to dropout risk. Background: People with Parkinson's disease (PD) who carry…
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