Aliyah Glover
Research Assistant
University of Arkansas for Medical Sciences
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Biography and Research Information
OverviewAI-generated summary
Aliyah Glover's research focuses on understanding and addressing challenges faced by individuals with Parkinson's disease, particularly those in underserved populations. Her work has explored the feasibility of telemedicine for research visits, aiming to improve access for individuals in remote areas. Glover has investigated specific motor and non-motor symptoms associated with Parkinson's disease, including freezing of gait, foot strike variability, and olfactory deficits. She has also examined the relationship between medication response and motor function, such as finger tapping and gait.
Glover has contributed to developing and applying advanced methodologies in her field. This includes the use of machine learning for processing voice samples to aid in the identification of Parkinson's disease. Her scholarship metrics include an h-index of 9, with 29 total publications and 230 citations. She has established strong collaborative ties within the University of Arkansas for Medical Sciences, notably with Tuhin Virmani (23 shared publications), Lakshmi Pillai (22 shared publications), Linda Larson‐Prior (11 shared publications), and Aaron S. Kemp (10 shared publications).
Metrics
- h-index: 9
- Publications: 29
- Citations: 230
Selected Publications
- Lessons Learned From a Delayed‐Start Trial of Modafinil for Freezing of Gait in Parkinson's Disease (2025) DOI
- Feasibility of regional center telehealth visits utilizing a rural research network in people with Parkinson’s disease (2024) DOI
- Development and implementation of the frog-in-maze game to study upper limb movement in people with Parkinson’s disease (2023) DOI
- A machine learning method to process voice samples for identification of Parkinson’s disease (2023) DOI
- A Machine Learning Method to Process Voice Samples for Identification of Parkinson’s Disease (2023) DOI
- Gait Declines Differentially in, and Improves Prediction of, People with Parkinson’s Disease Converting to a Freezing of Gait Phenotype (2023) DOI
- Levodopa responsive gait dynamics in OFF- and ONOFF-state freezing of gait in Parkinson’s disease (2023) DOI
- Objective quantification of responses to the clinical pull-test in people with Parkinson’s disease (2023) DOI
- Levodopa Responsive Gait Dynamics in OFF- And ONOFF-State Freezing of Gait in Parkinson's Disease (2023) DOI
- Development and Implementation of The Frog-In-Maze Game to Study Upper limb Movement in People with Parkinson’s Disease (2023) DOI
- Tandem gait step-width declines more rapidly in a stage-dependent manner with Parkinson’s disease progression (P2-11.007) (2022) DOI
- Feasibility of telemedicine research visits in people with Parkinson’s disease residing in medically underserved areas (2022) DOI
- Objective Quantification of Responses to the Clinical Pull-Test in People with Parkinson's Disease (2022) DOI
- Levodopa ONOFF-state freezing of gait: Defining the gait and non-motor phenotype (2022) DOI
- A study of turn bias in people with idiopathic Parkinson’s disease (2022) DOI
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