Microsaccade Alterations and Clinical Correlates in Parkinson’s Disease
Objective: To delineate microsaccade dynamics in people with Parkinson’s disease (PD) compared with healthy controls (HC) and to examine their associations with disease-related dysfunction. Background:…A composite oculomotor biomarker for differentiating Parkinson’s disease from multiple system atrophy
Objective: To evaluate whether a composite oculomotor index integrating multiple eye movement domains improves discrimination between PD and MSA. Background: Differentiating Parkinson’s disease (PD) from…Data-driven operational definition of square-wave jerks to optimize diagnostic discrimination of progressive supranuclear palsy
Objective: To use a data-driven approach to create an optimal SWJ definition and to assess its diagnostic utility in PSP. Background: The Movement Disorder Society…Translating Real-World Parkinsonian Facial Kinematics onto Diverse Digital Avatars
Objective: To support the development of a smart textile with facial sensors and present a novel continuous monitoring approach, we derived and rendered digital twins…Saccadic mask-induced inhibition in Parkinson’s disease
Objective: To investigate the role of the substantia nigra pars reticulata (SNr) in saccadic mask-induced inhibition in Parkinson's disease. Background: Saccadic mask-induced inhibition (SMII) delays…iPad App-based Eye Tracking for the Early Detection of Parkinson’s Disease
Objective: Demonstrate the concurrent validity, diagnostic accuracy, and early detection ability of an iPad app-based eye tracking tool for the early detection of Parkinson’s disease…AntiSaccadeNet: A Deep Learning Framework for Differentiating Parkinsonian Disorders through Antisaccade Time Series Classification
Objective: To develop and evaluate a deep learning architecture (AntiSaccadeNet) that utilizes continuous antisaccade eye movement time-series data to differentiate between Parkinson's disease (PD) and…Eye movement abnormalities in GBA1-related Parkinson’s disease and non-manifesting GBA1-carriers
Objective: To perform an in-depth characterization of eye movement abnormalities in Parkinson’s disease (PD) and non-manifesting carriers of GBA1 pathogenic variants. Background: Eye movement abnormalities…Eye tracking identifies biomarkers predicting Parkinson’s disease before motor symptom onset
Objective: To investigate eye movement changes as an early motor biomarker of Parkinson’s disease (PD) in patients with REM sleep behavior disorder (RBD). Background: RBD…Resolution Dependence of Machine Learning for Differential Diagnosis of Parkinsonian Eye Movements
Objective: To establish the extent to which high temporal resolution is required to differentiate between parkinsonian disease states from eye movements. Background: Previous studies have…
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