Value of local field potential-based deep brain stimulation programming in Parkinson’s disease
Objective: To report preliminary data on the utility of local field potential(LFP)-based programming in bilateral subthalamic nucleus(STN) deep brain stimulation(DBS) for Parkinson’s disease(PD). Background: Current…The Impact of Bilateral GPi Deep Brain Stimulation on Non-Motor Symptoms in Parkinson’s Disease
Objective: This study aimed to evaluate how bilateral Globus Pallidus internus (GPi) Deep Brain Stimulation (DBS) affects non-motor symptoms in individuals diagnosed with Parkinson’s disease…Impact of IPX203 (ER CD-LD) on nighttime sleep in patients with Parkinson’s disease experiencing motor fluctuations: A post hoc analysis of the RISE-PD trial
Objective: To explore the effects of IPX203 on nighttime sleep and motor states in patients with Parkinson’s disease (PD) experiencing motor fluctuations. Background: Sleep disturbances…Risk Factors and Outcome of Dopamine Dysregulation Syndrome in a large Chinese Parkinson’s Disease Cohort
Objective: We conducted a large-sample study to investigate the clinical characteristics and related risk factors of DDS in China. In addition, we further followed up…The role of serotonergic mechanisms in the formation of levodopa-induced drug-induced dyskinesias in Parkinson’s disease
Objective: To study the quantitative content of serotonin and dopamine in the blood plasma of patients with Parkinson's disease and to conduct a clinical and…Alterations in gut microbiota composition in VPS35 associated PARK17 mouse model
Objective: This study explores whether host genetics such as specific VPS35 genetic variations linked to PD can shape the gut microbiome. Background: Heterozygous (D620N) mutation…Characterization of the Dnajc13 p.N860S mouse model, a physiological model of alpha-Synuclein overexpression
Objective: To characterize the Dnajc13 p.N860S mouse model of familial Parkinson’s disease Background: DNAJC13/RME-8 is a large, multi-domain molecular co-chaperone that facilitates membrane recycling and…Parkinson’s disease motor phenotypes delineated by pallidal and subthalamic neurophysiology and machine learning
Objective: The objective of this study was to develop a machine learning (ML) algorithm capable of predicting motor phenotypes in Parkinson's disease (PD) using intraoperative…Machine Learning Analysis of DTI-Derived Free Water Reveals Distinct Parkinson’s Disease Subtypes: A Two-Year Longitudinal Study
Objective: To identify distinct subtypes of Parkinson’s disease (PD) based on diffusion tensor imaging (DTI)-derived free water (FW) patterns in basal ganglia (BG) structures using…Investigating the Role of Age and Neurological Status on Adaptive Balance Strategies: A Systematic Review Utilizing Big Data Techniques
Objective: To examine the influence of age and neurological status on adaptive balance strategies using big data analytics and systematic review methodologies. Background: Balance control…
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