Prediction of The Monopolar Review in Deep Brain Stimulation for Parkinson’s Disease using Imaging
Objective: To build an AI model that can predict the monopolar review in deep brain stimulation (DBS) for Parkinson’s disease (PD) based on imaging. Background:…Accuracy of AI-driven automated diagnostic software analyzing Susceptibility Map-Weighted Imaging to Differentiate Neurodegenerative from Non-neurodegenerative Parkinsonism
Objective: To determine the accuracy of AI-driven automated diagnostic software analyzing susceptibility map-weighted imaging (SMWI) to distinguish neurodegenerative from non-neurodegenerative parkinsonism in patients who had…From Images to Insights: Subtyping Parkinson’s Disease Using Unsupervised Learning on MRI Data
Objective: To explore the heterogeneity of Parkinson's disease (PD) using unsupervised clustering of neuroimaging data, aiming to identify distinct subtypes based on volumetric features. Background:…Responsive morphometric fingerprints in deep brain stimulation for Parkinson’s disease
Objective: In this study, we identified differential network characteristics based on graph theory of structural covariance network (SCN) between responders and non-responders of DBS. Background:…Diffusion MRI and Machine Learning Distinguish Alzheimer’s Disease and Dementia with Lewy Bodies
Objective: This study reports recent updates in the development of a support vector machine learning model to discriminate between dementia variants (i.e., Alzheimer’s disease (AD)…Increased Brain Free Water is Associated with Regional Gene Expression in Parkinson’s Disease
Objective: In this study, we used brain free water scores and regional gene expression profiles from the Allen Human Brain Atlas transcriptomic data to investigate…The 2-Minute Walking Test Predicts Aerobic Fitness, Motor Function, and Brain Health in Parkinson’s Disease
Objective: To determine the association of performance on the 2-Minute Walking Test (2MWT) with aerobic fitness, motor and cognitive function, and brain health in mild…White Matter Tractography in Spinocerebellar Ataxia type 1 and 2 in comparison with Healthy Controls
Objective: To assess and quantify microstructural white matter atrophy in brain of spinocerebellar ataxia (SCA) types SCA1 and SCA2 patients in comparison with healthy subjects.…A Phase 2 Study of ATH434 a Novel Inhibitor of α-Synuclein Aggregation for the Treatment of Multiple System Atrophy
Objective: Describe baseline fluid and neuroimaging biomarker data of an early MSA study population Background: MSA is a rapidly progressive neurodegenerative disorder characterized by aggregated…Developing a Supervised Machine Learning Model for Long-Term Cognitive Status Prediction in Parkinson Disease
Objective: The study aims to develop a supervised machine learning (ML) model to predict long-term cognitive outcome in patients with Parkinson disease (PD). Background: Cognitive…
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