Tuhin Virmani
Associate Professor
faculty
Neurology, College of Medicine
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Dr. Tuhin Virmani's research focuses on neurological disorders, particularly Parkinson disease and movement disorders. His work investigates the mechanisms of freezing of gait, a common symptom in Parkinson disease, and explores potential therapeutic interventions. Dr. Virmani has published research on using machine learning and pre-trained convolutional neural networks to analyze voice samples for the identification of Parkinson disease. He has also investigated the feasibility of telemedicine for research visits in individuals with Parkinson disease residing in underserved areas.
His prior research explored the physiological mechanisms of neuronal communication at the synapse. During his fellowship at Columbia University Medical Center, he conducted a clinicopathologic study on freezing of gait in Parkinson disease and initiated a clinical trial for neuroprotection in Parkinson disease using a novel motor-neuronotrophic factor. Dr. Virmani holds an MD/PhD from UT Southwestern Medical School and completed his neurology residency at Washington University in St. Louis.
Dr. Virmani has an h-index of 18, with 87 publications and 1,534 citations. He collaborates extensively with colleagues at the University of Arkansas for Medical Sciences, including Lakshmi Pillai (30 shared publications), Aliyah Glover (23 shared publications), Linda Larson‐Prior (17 shared publications), and Aaron S. Kemp (13 shared publications).
Research Overview
Dr. Virmani completed his medical training at UT Southwestern Medical School in Dallas where he was in the Medical Scientist Training Program (MSTP) receiving a combined M.D/Ph.D degree. His research in basic neuroscience explored the physiologic mechanisms by which neurons in the brain communicate with one other using chemical neurotransmitters at the synapse. He then went on to pursue a residency in Neurology at Washington University in St. Louis where he developed an interest in Movement Disorders. This lead to a two year combined clinical-research fellowship in Movement Disorders under the guidance of Dr. Stanley Fahn and other members of the Center for Parkinson Disease and other Movement Disorders at Columbia University Medical Center in New York. While at Columbia University, Dr. Virmani became interested in the principles underlying the phenomenon of freezing of gait in Parkinson disease and he undertook a clinicopathologic study under the mentorship of Dr. Fahn and Dr. Jean-Paul Vonsattel (Department of Pathology). He also worked with Dr. Fahn to start a clinical trial using a novel motor-neuronotrophic factor for potential neuroprotection in Parkinson disease. This trial is currently underway. In addition to his clinical duties as the Director of the Movement Disorders program at UAMS, Dr. Virmani plans to continue to develop his research interests with the establishment of a gait lab and eventual participation in national clinical research trials.
Metrics
- h-index: 18
- Publications: 87
- Citations: 1,560
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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Voice and Speech in Atypical Parkinsonian Disorders (2026)
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An updated definition of freezing of gait (2026)
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Pearls & Oy-sters: Hereditary Spastic Paraplegia Type 15 Presenting as Juvenile Onset Levodopa-Responsive Parkinsonism (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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A Qualitative Approach to Extract Diagnostic Patterns of Cognitive Impairment 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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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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Radiofrequency ablation for patients with lumbar spinal arthritis provides quantifiable improvement in gait velocity: a prospective study (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)
Grants & Funding
- Gut-microbiota-metabolite cross-talk in neuropsychiatric symptoms of Parkinson's Disease UAMS Principal Investigator
- TCIA Sustainment and Scalability - Platforms for Quantitative Imaging Informatics in Precision Medicine NIH Co-Investigator
- Gait Physiology as a non-invasive biomarker for Freezing of Gait in Parkinson’s Disease UAMS Principal Investigator
- Machine Learning Approaches for Remote Pathological Speech Assessment for Parkinson’s Disease NSF/EPSCoR Co-Investigator
- Comparison of different health care delivery methods in a rural underserved population of People with Parkinson’s Disease NIH/NCATS Principal Investigator
- Utilization of a Neuroinformatics Research Platform (ARIES) to Develop Quantitative Tools for Clinical Assessment and Treatment of Parkinson’s Disease Patients in Rural Arkansas NIH/NCATS UL1TR003107 Principal Investigator
- Gamified quantification of normal and pathological movement using 2D and Virtual Reality and Haptic sensing for therapeutic efficacy and disease progression in movement disorders NIH/NCATS Co-Investigator
- ABI C. OBrien NIH COBRE FY26 Y4 State of Arkansas Principal Investigator
Collaboration Network
Top Collaborators
- 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
- 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)
- Pre-trained convolutional neural networks identify Parkinson’s disease from spectrogram images of voice samples
Showing 5 of 31 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
- 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 23 shared publications
- A machine learning method to process voice samples for identification of Parkinson’s disease
- Virtual Reality in the Neurosciences: Current Practice and Future Directions
- Feasibility of telemedicine research visits in people with Parkinson’s disease residing in medically underserved areas
- 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)
- Pre-trained convolutional neural networks identify Parkinson’s disease from spectrogram images of voice samples
Showing 5 of 17 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
- 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)
- Pre-trained convolutional neural networks identify Parkinson’s disease from spectrogram images of voice samples
- Amplitude setting and dopamine response of finger tapping and gait are related in Parkinson’s disease
Showing 5 of 13 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
- 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)
- Pre-trained convolutional neural networks identify Parkinson’s disease from spectrogram images of voice samples
- Gait Declines Differentially in, and Improves Prediction of, People with Parkinson’s Disease Converting to a Freezing of Gait Phenotype
Showing 5 of 10 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 10 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
- 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
- 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
- Olfactory Deficits in the Freezing of Gait Phenotype of Parkinson's Disease
- Utility of objective gait measures in levodopa‐unresponsive freezing in Parkinson's
- A Qualitative Approach to Extract Diagnostic Patterns of Cognitive Impairment in Parkinson’s Disease
- Lessons Learned From a Delayed‐Start Trial of Modafinil for Freezing of Gait in Parkinson's Disease
- Voice and Speech in Atypical Parkinsonian Disorders
- 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
- Virtual Reality in the Neurosciences: Current Practice and Future Directions
- Glioblastoma, <scp>IDH</scp>‐Wildtype, <scp>CNS WHO</scp> Grade 4, Associated with Deep Brain Stimulation in a Patient with Essential Tremor: Report of a Case with Molecular Characterization, and Review of the Literature
- Radiofrequency ablation for patients with lumbar spinal arthritis provides quantifiable improvement in gait velocity: a prospective study
- Levodopa ONOFF-state freezing of gait: Defining the gait and non-motor phenotype
- Levodopa Unresponsive Freezing of Gait: Defining the Gait and Non-motor Phenotype (4425)
- Lessons Learned From a Delayed‐Start Trial of Modafinil for Freezing of Gait in Parkinson's Disease
- Glioblastoma, <scp>IDH</scp>‐Wildtype, <scp>CNS WHO</scp> Grade 4, Associated with Deep Brain Stimulation in a Patient with Essential Tremor: Report of a Case with Molecular Characterization, and Review of the Literature
- Tandem gait step-width increases more rapidly in more severely affected people with Parkinson's disease
- Tandem gait step-width declines more rapidly in a stage-dependent manner with Parkinson’s disease progression (P2-11.007)
- 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
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