Parkinson's disease: pathogenesis and therapeutic strategies

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Molecular Pathogenesis of Memory Impairment in Parkinson's Disease: An Exploration of Underlying Mechanisms

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The influence of visual input and attention on gait initiation in people with Parkinson disease

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Stratified signaling network remodeling of kinase–transcription factors’ interactions in Parkinson’s disease

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Genetic analysis of LRRK2 variants in Han Chinese patients with Parkinson’s disease

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The structure of personality in Parkinson’s disease and the effects of age, years since diagnosis, and impulsivity

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Pause characteristics of sentence production in Parkinson’s disease: Insights from sentence complexity and length

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Coordinated Telehealth for People with Parkinson’s Disease: A Qualitative Comparison of Providers’ and Patients’ Experiences

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Neuroprotective effects of DPP-4 inhibitors sitagliptin and vildagliptin in Parkinson’s disease via autophagy modulation

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Building a Community-Academic Partnership to Improve Underrepresented Group Awareness of Parkinson’s Disease and Research

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Electroencephalogram‐Driven Recognition of Parkinson's Disease Through a Mycelium‐Inspired Memristive Reservoir Computing Circuit

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A Simple and Reproducible Machine Learning Pipeline for Parkinson’s Disease Detection Using Smartwatch-Based Inertial Signals

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Speech-driven diagnostic model for early detection of Parkinson’s disease using machine learning and deep learning techniques

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Detection and Forecasting of Parkinson Disease Progression from Speech Signal Features Using Multi-Layer Perceptron and LSTM

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The effect of Apolipoprotein E4 on cognitive function in Parkinson’s disease: A structural MRI study in the PPMI cohort

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Deciphering the modulatory role of short-chain fatty acids in Parkinson’s disease via phosphorylation-dependent signaling mechanisms

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Correction: Personalized versus fixed tactile cueing in Parkinson’s disease: Protocol for a randomized controlled trial on gait automaticity

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Effects of a Soft Robotic Exoskeleton for Gait Training on Clinical Outcomes in Patients With Parkinson Disease: Randomized Controlled Pilot Study

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Machine Learning-Based Comparison of 2-D and 3-D Approaches for Parkinson’s Disease Detection via Hand Movement Analysis

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