Long-term safety of deep brain stimulation (DBS): Real-world evidence
Objective: In this analysis, we aimed to evaluate long-term safety of DBS systems in real-world use. Background: Deep brain stimulation (DBS) is an established therapy for…Effects of a Motor–Cognitive eHealth‑Supported Home Exercise Program on Walking Difficulties and Performance in Parkinson’s Disease
Objective: To evaluate the effects of an eHealth-supported, motor-cognitive, home-based exercise intervention on self-reported walking difficulties and walking performance in individuals with Parkinson’s disease (PD).…Electrophysiological Tremor Analysis In Tremor-Dominant And Postural Instability And Gait Difficulty Phenotypes Of Parkinson’s Disease
Objective: To define the differences in characteristics on electrophysiological tremor analysis between the tremor-dominant (TD) and Postural Instability and Gait Difficulty (PIGD) phenotype. Background: Based…Characterising Consent and Engagement with Remote Blood Collection in PREDICT-PD
Objective: To characterise patterns of non-consent to optional biosample donation (Aim 1) and post-consent engagement (Aim 2) with remote blood collection in PREDICT-PD. Background: PREDICT-PD…Clinical Gait Traits and Cerebellar-PPN Functional Connectivity Abnormalities in Early and Moderate-to-Advanced PD with Gait Disturbance via Perceptual Technology and MRI
Objective: To investigate clinical gait characteristics and cerebellar-pedunculopontine nucleus (PPN) functional connectivity (FC) changes in early-stage and moderate-to-advanced-stage Parkinson’s disease (PD) with gait disturbance using wearable…Perceptions and knowledge about Parkinson’s disease fluctuations among patients and caregivers: insights from a qualitative focus group
Objective: To explore the knowledge, perceptions and experiences of people with Parkinson’s disease and caregivers regarding motor and non-motor fluctuations, identifying informational gaps and training…FDG-PET-Based Machine Learning Differentiates Parkinson’s Disease from Other Neurodegenerative Disorders
Objective: To evaluate whether a fluorodeoxyglucose positron emission tomography (FDG-PET) machine learning (ML) framework can be extended to differentiate Parkinson's disease (PD) from other neurodegenerative…Episodic Memory Impairment in South Asian Individuals with Parkinson’s Disease: A Pilot Comparative Study
Objective: To evaluate whether South Asian individuals with Parkinson’s disease (PD) demonstrate differences in cognitive performance compared with White Americans. Background: South Asians represent one…Multimodal Gait Analysis Using Video Pose Estimation Deep Learning and Walkway Parameters: Parkinsonism Detection and Phenotyping
Objective: To develop a multimodal framework fusing frontal-view video pose estimation frame coordinates with pressure-sensitive walkway features for parkinsonism detection, and to discover clinically meaningful…Arm Swing and Early Gait Characteristics in Parkinson’s Disease
Objective: This study aims to develop algorithms that quantify gait parameters reflecting early clinical gait changes in PD. Background: Parkinson’s disease (PD) is the fastest growing neurological…
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