Linda Larson-Prior Institution-verified
Sourced from institutional research profiles (UAMS TRI or ARA).
Professor
faculty
PSY Psychiatry, College of Medicine
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Linda Larson-Prior's research laboratory investigates dynamic neural network reconfigurations across different brain states, including normal conditions like sleep and abnormal states such as anesthesia or neurodegenerative diseases. Her work utilizes simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) to understand shifts in network connectivity and function over a 24-hour cycle.
As part of the Human Connectome Project, Larson-Prior collaborated with an international team to map connection patterns in healthy adults using magnetoencephalography (MEG) and fMRI. Her laboratory employs a connectomics approach, analyzing large, multimodal datasets to explore the influence of behavioral and neural states on function throughout the lifespan. She is also actively engaged 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: 1
Grants & Funding
- No FP attached UAMS Intramural Grant (CTSA) Principal Investigator
- 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 - Pass Through: 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 - Pass Through: Louisiana Tech University Principal Investigator
- No FP attached UAMS Intramural Grant (CTSA) Principal Investigator
- EPSCoR - CASE Summer National Science Foundation - Pass Through: 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
Frequent Collaborators
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