Lakshmi Pillai
Research Associate
Also affiliated: University of Arkansas Medical Center (2022); Neurology, Inc (2021–2026); University of Delaware (2012); Mississippi State University (2010–2012)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Lakshmi Pillai's research focuses on the application of machine learning and telemedicine to study Parkinson's disease. Her work includes developing machine learning methods to process voice samples for the identification of Parkinson's disease, utilizing pre-trained convolutional neural networks to analyze spectrogram images of voice samples for disease detection, and investigating the feasibility of telemedicine for research visits among individuals with Parkinson's disease, particularly those in medically underserved areas. Pillai also studies specific motor symptoms associated with Parkinson's, such as freezing of gait, and its relationship with levodopa medication and gait variability.
Her research network includes extensive collaboration with colleagues 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. Pillai has published 64 works, accumulating 679 citations and an h-index of 14. Her research interests extend to integrating multi-modal data and neuroimaging results through platforms like PRISM within the Arkansas Imaging Enterprise System (ARIES).
One publication by Pillai also addresses bycatch mitigation in Indian trawl fisheries, indicating a broader, albeit less frequent, research scope. She maintains an active lab website to share her research activities.
Metrics
- h-index: 12
- Publications: 45
- Citations: 449
Positions
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Research Associate 2019–presentUniversity of Arkansas for Medical Sciences Neurology ORCID
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Research Technician 2017–2019University of Arkansas for Medical Sciences Neurology ORCID
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Biocurator/Research Associate II 2008–2013Mississippi State University AgBase Database, ORCID
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Research Fellow 2001–2003Reliance Life Sciences Biotechnology ORCID
Selected Publications
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Author Correction: A machine learning method to process voice samples for identification of Parkinson’s disease (2026)
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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)
Collaboration Network
Top Collaborators
- A machine learning method to process voice samples for identification of Parkinson’s disease
- Increased foot strike variability in Parkinson's disease patients with freezing of gait
- Impaired step‐length setting prior to turning in Parkinson's disease patients with freezing of gait
- 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
Showing 5 of 38 shared publications
- A machine learning method to process voice samples for identification of Parkinson’s disease
- Impaired step‐length setting prior to turning in Parkinson's disease patients with freezing of gait
- 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
- Differential Gait Decline in Parkinson’s Disease Enhances Discrimination of Gait Freezers from Non-Freezers
Showing 5 of 27 shared publications
- A machine learning method to process voice samples for identification of Parkinson’s disease
- Increased foot strike variability in Parkinson's disease patients with freezing of gait
- Impaired step‐length setting prior to turning in Parkinson's disease patients with freezing of gait
- 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
Showing 5 of 16 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
- 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
- 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 influence on turning dynamics in people with Parkinson’s disease
- Levodopa Responsive Gait Dynamics in OFF- And ONOFF-State Freezing of Gait in Parkinson's Disease
Showing 5 of 9 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
- Objective Markers of Finger Tapping in Idiopathic Parkinson’s Disease with Freezing of Gait (4468)
Showing 5 of 8 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
- 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 8 shared publications
- 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
- Objective Markers of Finger Tapping in Idiopathic Parkinson’s Disease with Freezing of Gait (4468)
- 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
Showing 5 of 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
- Pre-trained Convolutional Neural Networks Identify Parkinson’s Disease from Spectrogram Images of Voice Samples
Showing 5 of 6 shared publications
- Increased foot strike variability in Parkinson's disease patients with freezing of gait
- Impaired step‐length setting prior to turning in Parkinson's disease patients with freezing of gait
- Levodopa ONOFF-state freezing of gait: Defining the gait and non-motor phenotype
- Differential Gait Decline in Parkinson’s Disease Enhances Discrimination of Gait Freezers from Non-Freezers
- Lessons Learned From a Delayed‐Start Trial of Modafinil for Freezing of Gait in Parkinson's Disease
- Amplitude setting and dopamine response of finger tapping and gait are related in Parkinson’s disease
- Objective Markers of Finger Tapping in Idiopathic Parkinson’s Disease with Freezing of Gait (4468)
- Archimedes Spiral Drawing in Idiopathic Parkinson’s Disease Patients Showed More Variability in Jerkiness in Patients with Freezing of Gait (4882)
- Amplitude setting and dopamine response of finger tapping and gait are related in Parkinson’s disease
- Objective Markers of Foot Tapping in Idiopathic Parkinson’s Disease with Freezing of Gait (4609)
- 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
- Pre-trained Convolutional Neural Networks Identify Parkinson’s Disease from Spectrogram Images of Voice Samples
- Increased foot strike variability in Parkinson's disease patients with freezing of gait
- Impaired step‐length setting prior to turning in Parkinson's disease patients with freezing of gait
- Lessons Learned From a Delayed‐Start Trial of Modafinil for Freezing of Gait in Parkinson's Disease
- 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
- Increased foot strike variability in Parkinson's disease patients with freezing of gait
- Impaired step‐length setting prior to turning in Parkinson's disease patients with freezing of gait
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