Department of Medicine; Department of Psychiatry
Mental Disorders | Nervous System Diseases | Neuroscience and Neurobiology | Psychiatry | Therapeutics
While reducing the burden of brain disorders remains a top priority of organizations like the World Health Organization and National Institutes of Health (BRAIN, 2013), the development of novel, safe and effective treatments for brain disorders has been slow. In this paper, we describe the state of the science for an emerging technology, real time functional magnetic resonance imaging (rtfMRI) neurofeedback, in clinical neurotherapeutics. We review the scientific potential of rtfMRI and outline research strategies to optimize the development and application of rtfMRI neurofeedback as a next generation therapeutic tool. We propose that rtfMRI can be used to address a broad range of clinical problems by improving our understanding of brain-behavior relationships in order to develop more specific and effective interventions for individuals with brain disorders. We focus on the use of rtfMRI neurofeedback as a clinical neurotherapeutic tool to drive plasticity in brain function, cognition, and behavior. Our overall goal is for rtfMRI to advance personalized assessment and intervention approaches to enhance resilience and reduce morbidity by correcting maladaptive patterns of brain function in those with brain disorders.
neuroscience, fMRI, brain disorders, neurofeedback, rtfMRI, neurotherapeutics
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The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. It is made available under a CC-BY-NC 4.0 International license.
DOI of Published Version
bioRxiv 003400; doi: https://doi.org/10.1101/003400. Link to preprint on bioRxiv service.
Now published in NeuroImage: Clinical doi: 10.1016/j.nicl.2014.07.002.
Stoeckel, Luke E. and Brewer, Judson A., "Optimizing Real Time fMRI Neurofeedback for Therapeutic Discovery and Development" (2014). University of Massachusetts Medical School Faculty Publications. 1574.
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This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License