Aliyah Glover

Research Assistant

UAMS

Also affiliated: Neurology, Inc (2021)

9 h-index 30 pubs 273 cited

Research Areas

Biomedical Subjects

Links

ORCID Lab Website

OverviewAI-generated summary

Aliyah Glover's research focuses on the study of Parkinson's disease, with a particular emphasis on gait impairments and potential diagnostic methods. Her work has investigated how specific gait characteristics, such as step-length setting and foot strike variability during turning, differ in patients with Parkinson's disease, especially those experiencing freezing of gait. Glover has explored the relationship between medication, like Levodopa, and gait phenotypes in these patients. Additionally, her research has examined the feasibility of using telemedicine for research visits in medically underserved populations with Parkinson's disease, aiming to improve accessibility. She has also contributed to the development of machine learning approaches for processing voice samples to aid in the identification of Parkinson's disease. Glover collaborates with researchers including Tuhin Virmani, Lakshmi Pillai, Linda Larson‐Prior, and Aaron S. Kemp at the University of Arkansas for Medical Sciences.

Metrics

h-index: 9
Publications: 30
Citations: 273

Positions

Research Assistant 2020–present

UAMS Neurology Clinic Neurology ORCID
Research Technician 2017–2020

UAMS Neurology Neurology ORCID

Selected Publications

Author Correction: A machine learning method to process voice samples for identification of Parkinson’s disease (2026)

Scientific Reports DOI OpenAlex
Lessons Learned From a Delayed‐Start Trial of Modafinil for Freezing of Gait in Parkinson's Disease (2025)

Annals of Clinical and Translational Neurology DOI OpenAlex
Feasibility of regional center telehealth visits utilizing a rural research network in people with Parkinson’s disease (2024)

Journal of Clinical and Translational Science 4 citations DOI OpenAlex
Development and implementation of the frog-in-maze game to study upper limb movement in people with Parkinson’s disease (2023)

Scientific Reports 3 citations DOI OpenAlex
A machine learning method to process voice samples for identification of Parkinson’s disease (2023)

Scientific Reports 82 citations DOI OpenAlex
A Machine Learning Method to Process Voice Samples for Identification of Parkinson’s Disease (2023)

Research Square 2 citations DOI OpenAlex
Gait Declines Differentially in, and Improves Prediction of, People with Parkinson’s Disease Converting to a Freezing of Gait Phenotype (2023)

Journal of Parkinson s Disease 11 citations DOI OpenAlex
Levodopa responsive gait dynamics in OFF- and ONOFF-state freezing of gait in Parkinson’s disease (2023)

Clinical Parkinsonism & Related Disorders 5 citations DOI OpenAlex
Objective quantification of responses to the clinical pull-test in people with Parkinson’s disease (2023)

Gait & Posture 9 citations DOI OpenAlex
Levodopa Responsive Gait Dynamics in OFF- And ONOFF-State Freezing of Gait in Parkinson's Disease (2023)

SSRN Electronic Journal 1 citation DOI OpenAlex
Development and Implementation of The Frog-In-Maze Game to Study Upper limb Movement in People with Parkinson’s Disease (2023)

Research Square DOI OpenAlex
Tandem gait step-width declines more rapidly in a stage-dependent manner with Parkinson’s disease progression (P2-11.007) (2022)

Neurology DOI OpenAlex
Feasibility of telemedicine research visits in people with Parkinson’s disease residing in medically underserved areas (2022)

Journal of Clinical and Translational Science 24 citations DOI OpenAlex
Objective Quantification of Responses to the Clinical Pull-Test in People with Parkinson's Disease (2022)

SSRN Electronic Journal DOI OpenAlex
Levodopa ONOFF-state freezing of gait: Defining the gait and non-motor phenotype (2022)

PLoS ONE 21 citations DOI OpenAlex