Role of the subthalamic nucleus in working memory in patients with deep brain stimulation for Parkinson’s disease (protocol)
Objective: To describe the electroencephalographic activity of the subthalamic nucleus (STN) during a retro-cue working memory task under high- and low-frequency stimulation in patients with…Psychometric Properties of the SCOPA-Cog Turkish version
Objective: The objective of this study is to adapt SCOPA-COG for Turkish-speaking patients with Parkinson's disease, ensuring it is both valid and reliable. This will…Clinical analysis of sarcopenia prevalence and its influencing factors in patients with Parkinson’s disease
Objective: In this study, we examined the prevalence of sarcopenia in patients with Parkinson's disease (PD) and the factors affecting sarcopenia in patients with PD,…Applying growth mixture models to elucidate heterogeneous trajectories of cognitive change in Parkinson’s Disease
Objective: To apply growth mixture models (GMM) to elucidate heterogeneity in cognitive change trajectories in Parkinson’s Disease (PD) among idiopathic PD (iPD), GBA1, and LRRK2…Retrospective Analysis of our Supportive Care Clinic and Lifestyle Improvement Fitness Program
Objective: The Supportive Care Clinic and Lifestyle Improvement Fitness (LIFT) program provides multidisciplinary care and online educational resources for our parkinsonian patients. Demographics of patients…Impact of Cognition on Social Engagement in Community-based Older Adults with Parkinsonism
Objective: To investigate how cognition and gait influence social engagement in parkinsonism. Background: Social engagement is vital to quality of life in parkinsonism, yet the…A Qualitative Approach to Extract Diagnostic Patterns of Cognitive Impairment in Parkinson’s Disease
Objective: This study distilled patterns of patient performance recognized by clinical professionals in people with Parkinson’s disease (PD) and cognitive impairment on the Montreal Cognitive…Machine-learning Prediction of Cognition in Parkinson’s disease: Benchmarking EEG Source Functional Connectivity and Structural MRI
Objective: To develop machine-learning neural biomarkers to predict cognition in Parkinson’s disease (PD). Background: Variable levels of cognitive impairment are found in PD[1,2], but optimal…Approach into the genetics of cognitive performance in Mexican Parkinson’s Disease patients.
Objective: To compare the allele frequencies of genetic variants associated with cognitive impairment between Parkinson's Disease (PD) patients and controls and to examine their interaction…Decline in Motor Function and Cognitive Abilities in GBA PD Compared to Idiopathic PD (iPD)
Objective: To compare disease progression events between GBA PD and iPD using the Parkinson’s Progression Markers Initiative (PPMI) database Background: GBA PD patients exhibit more…
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