Overview
Kathryn (Katie) Dickerson completed her B.A. in Brain and Cognitive Sciences from the University of Rochester in 2006. She then joined Dr. Mauricio Delgado's lab at Rutgers University-Newark earning her Ph.D. in Behavioral and Neural Sciences in 2011. She moved to Durham and joined the lab of Dr. Alison Adcock at Duke University where she was a post-doc from 2011-2016. She received a KL2 award in 2016 and was promoted to Assistant Professor in the Department of Psychiatry and Behavioral Sciences at Duke University.
Katie is interested in how reward and motivation influence what we learn and remember. She focuses on studying the dopamine system in healthy humans and clinical populations using a combination of behavioral, functional magnetic resonance imaging (fMRI), and real-time fMRI methods.
Katie is interested in how reward and motivation influence what we learn and remember. She focuses on studying the dopamine system in healthy humans and clinical populations using a combination of behavioral, functional magnetic resonance imaging (fMRI), and real-time fMRI methods.
Current Appointments & Affiliations
Assistant Professor in Psychiatry and Behavioral Sciences
·
2021 - Present
Psychiatry & Behavioral Sciences, Behavioral Medicine & Neurosciences,
Psychiatry & Behavioral Sciences
Member of the Center for Cognitive Neuroscience
·
2018 - Present
Center for Cognitive Neuroscience,
Duke Institute for Brain Sciences
Faculty Network Member of the Duke Institute for Brain Sciences
·
2018 - Present
Duke Institute for Brain Sciences,
University Institutes and Centers
Recent Publications
Advancing workforce diversity by leveraging the Clinical and Translational Science Awards (CTSA) program.
Journal Article J Clin Transl Sci · 2023 Clinical trials continue to disproportionately underrepresent people of color. Increasing representation of diverse backgrounds among clinical research personnel has the potential to yield greater representation in clinical trials and more efficacious medi ... Full text Link to item CitePredictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis.
Journal Article Neuroimage · August 15, 2021 Real-time fMRI neurofeedback is an increasingly popular neuroimaging technique that allows an individual to gain control over his/her own brain signals, which can lead to improvements in behavior in healthy participants as well as to improvements of clinic ... Full text Link to item CiteCan we predict real-time fMRI neurofeedback learning success from pretraining brain activity?
Journal Article Hum Brain Mapp · October 1, 2020 Neurofeedback training has been shown to influence behavior in healthy participants as well as to alleviate clinical symptoms in neurological, psychosomatic, and psychiatric patient populations. However, many real-time fMRI neurofeedback studies report lar ... Full text Link to item CiteRecent Grants
The Duke Preparing Research scholars In bioMEdical sciences (PRIME): Cancer Research Program
ResearchAdministrative Director · Awarded by National Cancer Institute · 2023 - 2028Instructed Activation of the Human Dopaminergic Midbrain Using Real-Time fMRI in Nicotine-Dependent Individuals
ResearchPostdoctoral Associate · Awarded by Brain and Behavior Research Foundation · 2016 - 2022Duke CTSA (KL2)
ResearchScholar · Awarded by National Institutes of Health · 2013 - 2018View All Grants
Education, Training & Certifications
Rutgers University ·
2011
Ph.D.