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Biography and Research Information
OverviewAI-generated summary
Linda Larson‐Prior is a researcher at the University of Arkansas for Medical Sciences. Her work focuses on the application of advanced computational and analytical techniques to neuroscience research. She has published on topics including the Human Connectome Project, the standardization of brain network nomenclature, and the development of toolboxes for evaluating neuroimaging results. Her recent work also includes the application of machine learning to voice samples for the identification of Parkinson's disease and the development of EEG protocols for large-scale studies like the HEALthy Brain and Child Development (HBCD) Study.
Larson‐Prior leads a research group and has a significant publication record, with 112 total publications and 5,845 total citations, reflected in her h-index of 25. She is recognized as a highly cited researcher. Her collaborations include extensive work with colleagues at the University of Arkansas for Medical Sciences, such as Aaron S. Kemp and Tuhin Virmani, with whom she shares 17 publications, and Lakshmi Pillai, with whom she has 14 shared publications.
Metrics
- h-index: 25
- Publications: 112
- Citations: 5,988
Selected Publications
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Effects of Early Infant Nutrition on Aperiodic Exponent From 2 to 12 Months Using <scp>EEG</scp> Analysis (2026)
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Harnessing Native-Resolution 2D Embeddings for Lung Cancer Classification: A Feasibility Study with the RAD-DINO Self-supervised Foundation Model (2025)
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Body mass index, cortical thickness and executive function in late childhood (2025)
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Visual Working Memory in Pediatric Epilepsy using Magnetoencephalography: Pilot Study (2025)
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A Qualitative Approach to Extract Diagnostic Patterns of Cognitive Impairment in Parkinson’s Disease (2025)
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Cost, Research, and Education: Providers’ Perspectives on Making Neurofeedback More Accessible (2025)
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An Activation Likelihood Estimation Meta-Analysis of Voxel-Based Morphometry Studies of Chemotherapy-Related Brain Volume Changes in Breast Cancer (2025)
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Cost, research, and education: Providers’ perspectives on making neurofeedback more accessible (2025)
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Sequential patterning of dynamic brain states distinguish Parkinson’s disease patients with mild cognitive impairments (2025)
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A network correspondence toolbox for quantitative evaluation of novel neuroimaging results (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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The development and structure of the HEALthy Brain and Child Development (HBCD) Study EEG protocol (2024)
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A network correspondence toolbox for quantitative evaluation of novel neuroimaging results (2024)
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A Systematic Review over the Effect of Early Infant Diet on Neurodevelopment: Insights from Neuroimaging (2024)
Collaboration Network
Top Collaborators
Aaron S. Kemp
Arkansas Children's Hospital
17 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
- Analysis of Caregiver Burden Expressed in Social Media Discussions
- 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
Tuhin Virmani
University of Arkansas for Medical Sciences
17 shared publications
In database
- 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
Lakshmi Pillai
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
- 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 14 shared publications
Fred Prior
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
- 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 13 shared publications
Aliyah Glover
11 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
- Amplitude setting and dopamine response of finger tapping and gait are related in Parkinson’s disease
- Gait Declines Differentially in, and Improves Prediction of, People with Parkinson’s Disease Converting to a Freezing of Gait Phenotype
- Feasibility of regional center telehealth visits utilizing a rural research network in people with Parkinson’s disease
Showing 5 of 11 shared publications
Darcy Hagood
Arkansas Children's Nutrition Center (US)
8 shared publications
- Effect of obesity on inhibitory control in preadolescents during stop-signal task. An event-related potentials study
- Effects of Early Nutrition Factors on Baseline Neurodevelopment during the First 6 Months of Life: An EEG Study
- A Systematic Review over the Effect of Early Infant Diet on Neurodevelopment: Insights from Neuroimaging
- Impact of feeding habits on the development of language-specific processing of phonemes in brain: An event-related potentials study
- Effect of Obesity on Arithmetic Processing in Preteens With High and Low Math Skills: An Event-Related Potentials Study
Showing 5 of 8 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
Dylan Gilbreath
University of Arkansas Medical Center
5 shared publications
In database
- Effects of Early Nutrition Factors on Baseline Neurodevelopment during the First 6 Months of Life: An EEG Study
- A Systematic Review over the Effect of Early Infant Diet on Neurodevelopment: Insights from Neuroimaging
- The effect of diet on the development of EEG microstates in healthy infant throughout the first year of life
- Effects of Early Infant Nutrition on Aperiodic Neural Activity from 2 to 12 Months Using EEG Analysis
- Effects of Early Infant Nutrition on Aperiodic Exponent From 2 to 12 Months Using <scp>EEG</scp> Analysis
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
Graciela C. Alatorre-Cruz
University of Arkansas for Medical Sciences (US)
4 shared publications
- Effect of obesity on inhibitory control in preadolescents during stop-signal task. An event-related potentials study
- Effects of Early Nutrition Factors on Baseline Neurodevelopment during the First 6 Months of Life: An EEG Study
- Impact of feeding habits on the development of language-specific processing of phonemes in brain: An event-related potentials study
- Effect of Obesity on Arithmetic Processing in Preteens With High and Low Math Skills: An Event-Related Potentials Study
Heather Downs
Arkansas Children's Nutrition Center (US)
4 shared publications
- Effect of obesity on inhibitory control in preadolescents during stop-signal task. An event-related potentials study
- Effects of Early Nutrition Factors on Baseline Neurodevelopment during the First 6 Months of Life: An EEG Study
- Impact of feeding habits on the development of language-specific processing of phonemes in brain: An event-related potentials study
- Effect of Obesity on Arithmetic Processing in Preteens With High and Low Math Skills: An Event-Related Potentials Study
Mitesh Lotia
University of Arkansas for Medical Sciences (US)
4 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
- 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
Lucina Q. Uddin
University of California, Los Angeles (US)
4 shared publications
- Controversies and progress on standardization of large-scale brain network nomenclature
- A network correspondence toolbox for quantitative evaluation of novel neuroimaging results
- A network correspondence toolbox for quantitative evaluation of novel neuroimaging results
- Controversies and progress on standardization of large-scale brain network nomenclature
Richard F. Betzel
Indiana University Bloomington (US)
4 shared publications
- Controversies and progress on standardization of large-scale brain network nomenclature
- A network correspondence toolbox for quantitative evaluation of novel neuroimaging results
- A network correspondence toolbox for quantitative evaluation of novel neuroimaging results
- Controversies and progress on standardization of large-scale brain network nomenclature
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