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Biography and Research Information
OverviewAI-generated summary
Lakshmi Pillai's research focuses on the application of machine learning and technology to understand and diagnose neurological disorders, particularly Parkinson's disease. Her work involves analyzing diverse data modalities, including voice samples and neuroimaging, to develop predictive models and facilitate remote patient monitoring. Pillai has investigated the feasibility of telemedicine for research visits in medically underserved populations with Parkinson's disease, aiming to improve access to research participation.
Her publications explore specific aspects of Parkinson's disease, such as gait abnormalities, the impact of levodopa on motor function, and the predictive value of gait declines for disease progression. Pillai also engages in research utilizing platform technologies for integrating multi-modal data in precision medicine initiatives. Her scholarly output includes 66 publications, with a h-index of 13 and 643 citations. She has a network of key collaborators at the University of Arkansas for Medical Sciences, including Tuhin Virmani, Aliyah Glover, Linda Larson‐Prior, and Aaron S. Kemp, with whom she has co-authored numerous publications.
Metrics
- h-index: 14
- Publications: 66
- Citations: 659
Selected Publications
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Time to Freeze: Development of <scp>OFF</scp> ‐ and <scp>OFFON</scp> ‐State Freezing of Gait in Parkinson's Disease (2026)
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Lessons Learned From a Delayed‐Start Trial of Modafinil for Freezing of Gait in Parkinson's Disease (2025)
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Exploring the relationship between orthostatic hypotension and gait in people with Parkinson’s disease (2025)
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Levodopa influence on turning dynamics in people with Parkinson’s disease (2025)
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Longitudinal Monitoring of Digitized Cursive Writing in People with Parkinson’s Disease Shows Increased Variability in Absolute Jerk and Decreased Writing Duration in Those with Freezing of Gait (P9-5.019) (2025)
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Pre-trained convolutional neural networks identify Parkinson’s disease from spectrogram images of voice samples (2025)
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Pre-trained Convolutional Neural Networks Identify Parkinson’s Disease from Spectrogram Images of Voice Samples (2024)
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Levodopa influence on turning dynamics in people with Parkinson’s disease (2024)
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Tandem gait step-width increases more rapidly in more severely affected people with Parkinson's disease (2024)
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Feasibility of regional center telehealth visits utilizing a rural research network in people with Parkinson’s disease (2024)
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Development and implementation of the frog-in-maze game to study upper limb movement in people with Parkinson’s disease (2023)
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A machine learning method to process voice samples for identification of Parkinson’s disease (2023)
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A Machine Learning Method to Process Voice Samples for Identification of Parkinson’s Disease (2023)
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Gait Declines Differentially in, and Improves Prediction of, People with Parkinson’s Disease Converting to a Freezing of Gait Phenotype (2023)
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Levodopa responsive gait dynamics in OFF- and ONOFF-state freezing of gait in Parkinson’s disease (2023)
Collaboration Network
Top Collaborators
Tuhin Virmani
University of Arkansas for Medical Sciences
31 shared publications
In database
- A machine learning method to process voice samples for identification of Parkinson’s disease
- Feasibility of telemedicine research visits in people with Parkinson’s disease residing in medically underserved areas
- Levodopa ONOFF-state freezing of gait: Defining the gait and non-motor phenotype
- Pre-trained convolutional neural networks identify Parkinson’s disease from spectrogram images of voice samples
- Increased foot strike variability during turning in Parkinson’s disease patients with freezing of gait
Showing 5 of 31 shared publications
Aliyah Glover
University of Arkansas for Medical Sciences
22 shared publications
In database
- A machine learning method to process voice samples for identification of Parkinson’s disease
- Feasibility of telemedicine research visits in people with Parkinson’s disease residing in medically underserved areas
- Levodopa ONOFF-state freezing of gait: Defining the gait and non-motor phenotype
- Increased foot strike variability during turning in Parkinson’s disease patients with freezing of gait
- Amplitude setting and dopamine response of finger tapping and gait are related in Parkinson’s disease
Showing 5 of 22 shared publications
Linda Larson‐Prior
University of Arkansas for Medical Sciences
14 shared publications
In database
- A machine learning method to process voice samples for identification of Parkinson’s disease
- Feasibility of telemedicine research visits in people with Parkinson’s disease residing in medically underserved areas
- Pre-trained convolutional neural networks identify Parkinson’s disease from spectrogram images of voice samples
- Semantic Integration of Multi-Modal Data and Derived Neuroimaging Results Using the Platform for Imaging in Precision Medicine (PRISM) in the Arkansas Imaging Enterprise System (ARIES)
- Amplitude setting and dopamine response of finger tapping and gait are related in Parkinson’s disease
Showing 5 of 14 shared publications
Aaron S. Kemp
University of Arkansas for Medical Sciences
13 shared publications
In database
- A machine learning method to process voice samples for identification of Parkinson’s disease
- Feasibility of telemedicine research visits in people with Parkinson’s disease residing in medically underserved areas
- Pre-trained convolutional neural networks identify Parkinson’s disease from spectrogram images of voice samples
- Semantic Integration of Multi-Modal Data and Derived Neuroimaging Results Using the Platform for Imaging in Precision Medicine (PRISM) in the Arkansas Imaging Enterprise System (ARIES)
- Amplitude setting and dopamine response of finger tapping and gait are related in Parkinson’s disease
Showing 5 of 13 shared publications
Fred Prior
University of Arkansas for Medical Sciences
9 shared publications
In database
- A machine learning method to process voice samples for identification of Parkinson’s disease
- Feasibility of telemedicine research visits in people with Parkinson’s disease residing in medically underserved areas
- Pre-trained convolutional neural networks identify Parkinson’s disease from spectrogram images of voice samples
- Semantic Integration of Multi-Modal Data and Derived Neuroimaging Results Using the Platform for Imaging in Precision Medicine (PRISM) in the Arkansas Imaging Enterprise System (ARIES)
- Gait Declines Differentially in, and Improves Prediction of, People with Parkinson’s Disease Converting to a Freezing of Gait Phenotype
Showing 5 of 9 shared publications
Reid D. Landes
University of Arkansas for Medical Sciences (US)
9 shared publications
- Levodopa ONOFF-state freezing of gait: Defining the gait and non-motor phenotype
- Gait Declines Differentially in, and Improves Prediction of, People with Parkinson’s Disease Converting to a Freezing of Gait Phenotype
- Levodopa responsive gait dynamics in OFF- and ONOFF-state freezing of gait in Parkinson’s disease
- Levodopa Responsive Gait Dynamics in OFF- And ONOFF-State Freezing of Gait in Parkinson's Disease
- Tandem gait step-width increases more rapidly in more severely affected people with Parkinson's disease
Showing 5 of 9 shared publications
Mitesh Lotia
University of Arkansas for Medical Sciences (US)
6 shared publications
- Feasibility of telemedicine research visits in people with Parkinson’s disease residing in medically underserved areas
- Amplitude setting and dopamine response of finger tapping and gait are related in Parkinson’s disease
- Utility of objective gait measures in levodopa‐unresponsive freezing in Parkinson's
- Feasibility of regional center telehealth visits utilizing a rural research network in people with Parkinson’s disease
- Amplitude setting and dopamine response of finger tapping and gait are related in Parkinson’s disease
Showing 5 of 6 shared publications
Horace J. Spencer
University of Arkansas for Medical Sciences
6 shared publications
In database
- Amplitude setting and dopamine response of finger tapping and gait are related in Parkinson’s disease
- Feasibility of regional center telehealth visits utilizing a rural research network in people with Parkinson’s disease
- Development and implementation of the frog-in-maze game to study upper limb movement in people with Parkinson’s disease
- Amplitude setting and dopamine response of finger tapping and gait are related in Parkinson’s disease
- Development and Implementation of The Frog-In-Maze Game to Study Upper limb Movement in People with Parkinson’s Disease
Showing 5 of 6 shared publications
Anu Iyer
Georgia Institute of Technology (US)
6 shared publications
- A machine learning method to process voice samples for identification of Parkinson’s disease
- Feasibility of telemedicine research visits in people with Parkinson’s disease residing in medically underserved areas
- Pre-trained convolutional neural networks identify Parkinson’s disease from spectrogram images of voice samples
- A Machine Learning Method to Process Voice Samples for Identification of Parkinson’s Disease
- Voice Samples for Patients with Parkinson’s Disease and Healthy Controls
Showing 5 of 6 shared publications
Yasir Rahmatallah
University of Arkansas for Medical Sciences
5 shared publications
In database
- A machine learning method to process voice samples for identification of Parkinson’s disease
- Pre-trained convolutional neural networks identify Parkinson’s disease from spectrogram images of voice samples
- A Machine Learning Method to Process Voice Samples for Identification of Parkinson’s Disease
- Voice Samples for Patients with Parkinson’s Disease and Healthy Controls
- Pre-trained Convolutional Neural Networks Identify Parkinson’s Disease from Spectrogram Images of Voice Samples
Rohit Dhall
University of Arkansas for Medical Sciences
3 shared publications
In database
- Olfactory Deficits in the Freezing of Gait Phenotype of Parkinson's Disease
- Utility of objective gait measures in levodopa‐unresponsive freezing in Parkinson's
- Lessons Learned From a Delayed‐Start Trial of Modafinil for Freezing of Gait in Parkinson's Disease
Hafsa Bareen Syeda
University of Arkansas for Medical Sciences (US)
2 shared publications
- Amplitude setting and dopamine response of finger tapping and gait are related in Parkinson’s disease
- Amplitude setting and dopamine response of finger tapping and gait are related in Parkinson’s disease
Shannon Doerhoff
University of Arkansas for Medical Sciences
2 shared publications
In database
- Levodopa ONOFF-state freezing of gait: Defining the gait and non-motor phenotype
- Lessons Learned From a Delayed‐Start Trial of Modafinil for Freezing of Gait in Parkinson's Disease
Mousumi Patra
University of Arkansas for Medical Sciences
2 shared publications
In database
- Objective quantification of responses to the clinical pull-test in people with Parkinson’s disease
- Objective Quantification of Responses to the Clinical Pull-Test in People with Parkinson's Disease
Phillip Farmer
University of Arkansas for Medical Sciences
2 shared publications
In database
- Feasibility of telemedicine research visits in people with Parkinson’s disease residing in medically underserved areas
- Feasibility of regional center telehealth visits utilizing a rural research network in people with Parkinson’s disease
Similar Researchers
Based on overlapping research topics
Aliyah Glover
University of Arkansas for Medical Sciences
Parkinson's Disease Mechanisms and Treatments
Machine Learning Applications
Telemedicine and Telehealth Implementation
Tuhin Virmani
University of Arkansas for Medical Sciences
Parkinson's Disease Mechanisms and Treatments
Machine Learning Applications
Advanced Neural Network Applications
Aaron S. Kemp
University of Arkansas for Medical Sciences
Machine Learning Applications
Advanced Neural Network Applications
Telemedicine and Telehealth Implementation
Shake Ibna Abir
Arkansas State University
Machine Learning Applications
Advanced Neural Network Applications
Medical Imaging Techniques and Applications
Hong Cheng
Southern Arkansas University
Machine Learning Applications
Advanced Neural Network Applications
Medical Imaging Techniques and Applications
Sunanda Das
University of Arkansas at Fayetteville
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Advanced Neural Network Applications
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