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Deep learning predicts prevalent and incident Parkinson’s disease from UK Biobank fundus imaging
Parkinson’s disease is the world’s fastest-growing neurological disorder. Research to elucidate the mechanisms of Parkinson’s disease and automate...
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The Swedish National Facility for Magnetoencephalography Parkinson’s disease dataset
Parkinson’s disease (PD) is characterised by a loss of dopamine and dopaminergic cells. The consequences hereof are widespread network disturbances...
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Retinal hyperspectral imaging in mouse models of Parkinson’s disease and healthy aging
Retinal hyperspectral imaging (HSI) is a non-invasive in vivo approach that has shown promise in Alzheimer’s disease. Parkinson’s disease is another...
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Identification of Parkinson’s disease-associated chromatin regulators
Parkinson’s disease (PD) is a common neurological disorder that causes quiescent tremors, motor delays, depression, and sleep disturbances. Existing...
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Imbalanced motivated behaviors according to motor sign asymmetry in drug-naïve Parkinson’s disease
Few studies have considered the influence of motor sign asymmetry on motivated behaviors in de novo drug-naïve Parkinson’s disease (PD). We tested...
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Mitochondrial complex I deficiency stratifies idiopathic Parkinson’s disease
Idiopathic Parkinson’s disease (iPD) is believed to have a heterogeneous pathophysiology, but molecular disease subtypes have not been identified....
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Plasma proteomics identify biomarkers predicting Parkinson’s disease up to 7 years before symptom onset
Parkinson’s disease is increasingly prevalent. It progresses from the pre-motor stage (characterised by non-motor symptoms like REM sleep behaviour...
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A multimodal dataset of real world mobility activities in Parkinson’s disease
Parkinson’s disease (PD) is a neurodegenerative disorder characterised by motor symptoms such as gait dysfunction and postural instability....
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A machine learning method to process voice samples for identification of Parkinson’s disease
Machine learning approaches have been used for the automatic detection of Parkinson’s disease with voice recordings being the most used data type due...
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Neuroimaging and fluid biomarkers in Parkinson’s disease in an era of targeted interventions
A major challenge in Parkinson’s disease is the variability in symptoms and rates of progression, underpinned by heterogeneity of pathological...
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Hybrid CNN-LSTM model with efficient hyperparameter tuning for prediction of Parkinson’s disease
The patients’ vocal Parkinson’s disease (PD) changes could be identified early on, allowing for management before physically incapacitating symptoms...
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Tuning attention based long-short term memory neural networks for Parkinson’s disease detection using modified metaheuristics
Parkinson’s disease (PD) is a progressively debilitating neurodegenerative disorder that primarily affects the dopaminergic system in the basal...
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Blood transcriptomic signatures associated with molecular changes in the brain and clinical outcomes in Parkinson’s disease
The ability to use blood to predict the outcomes of Parkinson’s disease, including disease progression and cognitive and motor complications, would...
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Deep brain stimulation of symptom-specific networks in Parkinson’s disease
Deep Brain Stimulation can improve tremor, bradykinesia, rigidity, and axial symptoms in patients with Parkinson’s disease. Potentially, improving...
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User-centred design, validation and clinical testing of an anti-choking mug for people with Parkinson’s disease
Oropharyngeal dysphagia, or difficulty initiating swallowing, is a frequent problem in people with Parkinson’s disease (PD) and can lead to...
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Fox Insight at 5 years - a cohort of 54,000 participants contributing longitudinal patient-reported outcome, genetic, and microbiome data relating to Parkinson’s disease
Fox Insight is an online, longitudinal study of over 54,000 people with and without Parkinson’s disease, facilitating discovery, validation, and...
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The longitudinal volumetric and shape changes of subcortical nuclei in Parkinson’s disease
Brain structural changes in Parkinson’s disease (PD) are progressive throughout the disease course. Changes in surface morphology with disease...
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Older adults and individuals with Parkinson’s disease control posture along suborthogonal directions that deviate from the traditional anteroposterior and mediolateral directions
A rich and complex temporal structure of variability in postural sway characterizes healthy and adaptable postural control. However,...
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Autonomic function and motor subtypes in Parkinson’s disease: a multicentre cross-sectional study
Autonomic symptoms (AS) are critical in Parkinson’s disease (PD). We aimed to determine the relative significance of clinical factors allowing...
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Glypican-4 serum levels are associated with cognitive dysfunction and vascular risk factors in Parkinson’s disease
Glypicans are biomarkers for various pathologies, including cardiovascular disease, cancer and diabetes. Increasing evidence suggests that glypicans...
