Clinical case of cerebellar ataxia associated with temporal bone tumor
Objective: To describe a clinical case of tumor-induced cerebellar ataxia in an elderly patient. Background: Ataxia can result from various etiologies, including neurodegenerative diseases, stroke,…Patient-Reported Satisfaction and Usability of a Virtual Home-Based Program for Fall Prevention in Parkinson’s Disease
Objective: To evaluate participant perspectives and satisfaction with a virtual home safety intervention to reduce environmental fall risks in persons with Parkinson’s disease (PwPs). Background: While…Development of a Rating Instrument to Identify Catatonia by Virtual Viewing of Motor Assessments
Objective: To develop a rating instrument to identify catatonia by virtual viewing of motor assessments Background: Catatonia is a motor comorbidity complicating mental and physical…Ecologically Valid, Ambient, Longitudinal, and Unbiased Assessment of Treatment Efficacy in Parkinson’s Disease (EVALUATE-PD)
Objective: To determine the feasibility of using in-home digital biomarkers (DBs) and activity monitoring for clinical trials and studies of early Parkinson’s Disease (PD) and…Application of Multi-Camera Videography for Detecting PD-related Gait Deficiencies
Objective: To identify and measure PD-specific gait signals in multi-camera videos for differentiating PD vs control (non-PD), without using specialized equipment (e.g., motion capture). Background:…Integration of Multivariate Time Series Analysis in Assessing Balance Control: A Comprehensive Review of Current Research
Objective: To review the application of multivariate time series (MTS) analysis in assessing balance control and its potential for improving rehabilitation strategies. Background: Balance control…Parkinson’s disease motor phenotypes delineated by pallidal and subthalamic neurophysiology and machine learning
Objective: The objective of this study was to develop a machine learning (ML) algorithm capable of predicting motor phenotypes in Parkinson's disease (PD) using intraoperative…Clustering and Identification of Parkinson’s Disease Severity Subtypes Using Multimodal Data and Machine Learning Approaches
Objective: This study aimed to classify Parkinson’s disease (PD) severity subtypes by integrating objective multimodal data with machine learning (ML) techniques. We applied unsupervised clustering…Expanding the Scope Beyond Neurosurgery: A Systematic Review on MRgFUS Complications
Objective: This systematic review aims to investigate the complications associated with MRgFUS (magnetic resonance-guided high intensity focused ultrasound) for neurological disorders and determine their frequency…Using Chronic DBS Brain Sensing Data to Develop an AI-based Engine for Clinical Insights
Objective: Our aim is to build an AI-based algorithm engine to deliver brain sensing-based data insights from deep brain stimulation (DBS) therapy systems that are…
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