Using functional magnetic resonance imaging in psychotherapy research: a brief introduction to concepts, methods, and task selection.

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2009-07

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Abstract

Functional magnetic resonance imaging (fMRI) has become an increasingly important methodology in the study of psychotherapy outcome and process. In this article, the authors offer a brief introduction to the use of fMRI in psychotherapy research aimed primarily at the informed clinician or investigator and with the goal of facilitating an understanding of study design and interpretation of research findings. After introducing the method and offering a rationale for its use in the study of psychotherapy, the authors outline major issues in fMRI data collection and analysis and emphasize the central role of the tasks used during the imaging session as critical to the interpretation of findings. They discuss how task selection influences the conclusions that can be drawn from fMRI studies of psychotherapeutic intervention and close with recommendations and caveats for the consumer of fMRI/psychotherapy research.

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Brain, Humans, Magnetic Resonance Imaging, Oxygen, Psychology, Psychometrics, Psychotherapy

Citation

Published Version (Please cite this version)

10.1080/10503300902735864

Publication Info

Carrig, Madeline M, Gregory G Kolden and Timothy J Strauman (2009). Using functional magnetic resonance imaging in psychotherapy research: a brief introduction to concepts, methods, and task selection. Psychother Res, 19(4-5). pp. 409–417. 10.1080/10503300902735864 Retrieved from https://hdl.handle.net/10161/13858.

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Scholars@Duke

Strauman

Timothy J. Strauman

Professor of Psychology and Neuroscience

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.


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