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…Heterozygous ATP7B variants in patients with parkinsonism
Objective: To describe a retrospective case series of thirteen cases carriers of heterozygous variants of the ATP7B gene manifesting with specific cases of parkinsonism. Background:…Role of presenilin 1 variants in parkinsonism
Objective: To characterize presenilin 1 gene (PSEN1) variants which can cause parkinsonism. Background: Variants in PSEN1 are associated with early onset Alzheimer’s disease mainly due…Machine Learning Model using Eye Movements for the Differential Diagnosis of iPD and Atypical Parkinsonian Syndromes
Objective: To develop a machine learning (ML) model to first between differentiate between healthy controls, idiopathic PD, Atypical Parkinsonian syndromes and then further subclassify as…Improving Automatic Speech Recognition for Speakers with Parkinson’s disease
Objective: 1. Obtain high-fidelity, speech data from 400 people with Parkinson’s (PWP) to train automatic speech recognition (ASR) systems.2. Develop and implement procedures to recruit,…
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