Linda Larson-Prior

Sourced from institutional research profiles (UAMS TRI or ARA).

Professor

UAMS

PSY Psychiatry, College of Medicine

5 pubs

Research Areas

Biomedical Subjects

Links

Lab Website UAMS TRI Profile

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OverviewAI-generated summary

Linda Larson-Prior's research focuses on understanding dynamic neural network reconfigurations in the brain across different states, including normal conditions like sleep and abnormal states such as anesthesia or fluctuating consciousness in neurodegenerative diseases. Her laboratory employs simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) to investigate shifts in network connectivity and function over a 24-hour period. Larson-Prior also contributed to the Human Connectome Project, collaborating internationally to map connection patterns in healthy adults using magnetoencephalography (MEG) and fMRI. Her work utilizes a connectomics approach to analyze large, multi-modal datasets, aiming to elucidate the role of behavioral and neural states on function throughout the lifespan. She is actively involved in mentoring research professionals.

Research Overview

My laboratory is interested in better understanding the dynamic neural network re-configurations that occur as the brain changes its state under both normal conditions such as sleep, and in abnormal conditions such as induced shifts in conscious awareness (anesthesia) or pathological shifts in cognitive awareness (fluctuating consciousness, sleep parasomnias and neurodegenerative disease states). We have developed the use of simultaneous acquisition of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) to help us better understand these shifts in network connectivity and function as the brain shifts state over the course of 24 hours. As part of the Human Connectome Project, my laboratory worked with a large international team to define the connection patterns in normal adult human subjects using magnetoencephalography (MEG) and fMRI methodologies. The connectomics approach to analysis of large, multi-modal datasets is one my laboratory is actively pursuing to better understand the role of behavioral and neural state on function across the lifespan. I am actively involved in mentoring and mentorship programs and have mentored research professionals at all levels, from high school through early faculty. In addition, I have provided formal mentorship training to both mentors and mentees through workshops and invited lectures. I believe strongly that developing strong and proactive mentorship programs early in professional training will aid students in achieving optimal performance levels throughout their careers.

Metrics

Publications: 5

Selected Publications

Author Correction: A machine learning method to process voice samples for identification of Parkinson’s disease (2026)

Scientific Reports DOI OpenAlex
Proceedings from Nourish Now: A science dialogue on improving adolescent health through nutrition (2026)

Critical Reviews in Food Science and Nutrition 1 citation DOI OpenAlex
Body weight-related alterations in white matter functional connectivity in children: An fMRI study (2026)

BMC Neurology DOI OpenAlex

Grants & Funding

As listed on this researcher's institutional profile.

SLOW SYNAPTIC TRANSMISSION IN CEREBELLUM NIH Principal Investigator
NSF, RII Track-2 FEC: Facilitating Ubiquitous Technology Utilizing Resilient Eco-friendly Sensors (FUTURE Sensors) National Science Foundation via Louisiana Tech University Principal Investigator
RII Track-2 FEC- Probing and Understanding the Brain: Micro and Macro Dynamics of Seizure and Memory Networks - Continuation - Continuation - Continuation National Science Foundation via Louisiana Tech University Principal Investigator
EPSCoR - CASE Summer National Science Foundation via Arkansas Economic Development Commission Principal Investigator
RII Track-s EPSCoR: Facilitating ubiquitous technology utilizing resilient eco-friendly sensors (FUTURE sensors) NSF Co-Investigator
1/6 HBCD Prenatal Experience and Longitudinal Development (PRELUDE) NIH Co-Investigator
Center for Childhood Obesity Prevention phase 2 NIH/NIGMS Other
TCIA Sustainment and Scalability - Platforms for Quantitative Imaging Informatics in Precision Medicine NIH Co-Investigator