Single session real-time fMRI neurofeedback has a lasting impact on cognitive behavioral therapy strategies.
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2018-01
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Abstract
To benefit from cognitive behavioral therapy (CBT), individuals must not only learn new skills but also strategically implement them outside of session. Here, we tested a novel technique for personalizing CBT skills and facilitating their generalization to daily life. We hypothesized that showing participants the impact of specific CBT strategies on their own brain function using real-time functional magnetic imaging (rt-fMRI) neurofeedback would increase their metacognitive awareness, help them identify effective strategies, and motivate real-world use. In a within-subjects design, participants who had completed a clinical trial of a standardized course of CBT created a personal repertoire of negative autobiographical stimuli and mood regulation strategies. From each participant's repertoire, a set of experimental and control strategies were identified; only experimental strategies were practiced in the scanner. During the rt-fMRI neurofeedback session, participants used negative stimuli and strategies from their repertoire to manipulate activation in the anterior cingulate cortex, a region implicated in emotional distress. The primary outcome measures were changes in participant ratings of strategy difficulty, efficacy, and frequency of use. As predicted, ratings for unscanned control strategies were stable across observations, whereas ratings for experimental strategies changed after neurofeedback. At follow-up one month after the session, efficacy and frequency ratings for scanned strategies were predicted by neurofeedback during the rt-fMRI session. These results suggest that rt-fMRI neurofeedback created a salient and durable learning experience for patients, extending beyond the scan session to guide and motivate CBT skill use weeks later. This metacognitive approach to neurofeedback offers a promising model for increasing clinical benefits from cognitive behavioral therapy by personalizing skills and facilitating generalization.
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MacDuffie, Katherine E, Jeff MacInnes, Kathryn C Dickerson, Kari M Eddington, Timothy J Strauman and R Alison Adcock (2018). Single session real-time fMRI neurofeedback has a lasting impact on cognitive behavioral therapy strategies. NeuroImage. Clinical, 19. pp. 868–875. 10.1016/j.nicl.2018.06.009 Retrieved from https://hdl.handle.net/10161/21882.
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Kathryn C Dickerson
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.
Timothy J. Strauman
Professor Strauman’s work is grounded in the premise that mental health and well-being are fundamentally shaped by self-regulation—how individuals pursue goals, respond to challenges, and adapt over time. His research integrates clinical psychology, affective neuroscience, and behavioral science to characterize the psychological and neurobiological systems that support self-regulation, and to understand how disruptions in these systems contribute to vulnerability to depression and related conditions.
Across a program of experimental, clinical, and neuroimaging research, his work has examined self-regulation as a multi-level system, including its cognitive and motivational mechanisms, its development through socialization, and its links to affective and immunological processes. This work has also informed the development and evaluation of novel interventions targeting self-regulatory dysfunction.
More recently, his work has focused on translating this science of self-regulation into scalable approaches to intervention and prevention. This includes the development of new models of treatment that target regulatory processes across disorders, as well as efforts to extend effective self-regulation skills beyond traditional clinical settings and into everyday contexts. This translational focus reflects a broader aim of building integrated, system-level approaches to mental health that can improve outcomes at population scale.
Rachel Alison Adcock
Dr. Adcock received her undergraduate degree in psychology from Emory University and her MD and PhD in Neurobiology from Yale University. She completed her psychiatry residency training at Langley Porter Psychiatric Institute at UC-San Francisco and did neurosciences research as a postdoctoral fellow at UC-SF, the San Francisco VA Medical Center, and Stanford before joining the Duke faculty in 2007. Her work has been funded by NIDA, NIMH, NSF and Alfred P. Sloan and Klingenstein Fellowships in the Neurosciences, and the Brain & Behavior Research Foundation, and honored by NARSAD awards, the 2012 National Academy of Sciences Seymour Benzer Lectureship, and the 2015 ABAI BF Skinner Lectureship. The overall goals of her research program are to understand how brain systems for motivation support learning and to use mechanistic understanding of how behavior changes biology to meet the challenge of developing new therapies appropriate for early interventions for mental illness.
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