UMass Chan Medical School Faculty Publications
UMMS Affiliation
Department of Medicine; Department of Psychiatry
Publication Date
2014-06-20
Document Type
Article Preprint
Disciplines
Mental Disorders | Nervous System Diseases | Neuroscience and Neurobiology | Psychiatry | Therapeutics
Abstract
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.
Keywords
neuroscience, fMRI, brain disorders, neurofeedback, rtfMRI, neurotherapeutics
Rights and Permissions
The copyright holder for this preprint (which was not peer-reviewed) is the author/funder.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
10.1101/003400
Source
bioRxiv 003400; doi: https://doi.org/10.1101/003400. Link to preprint on bioRxiv service.
Related Resources
Now published in NeuroImage: Clinical doi: 10.1016/j.nicl.2014.07.002.
Journal/Book/Conference Title
bioRxiv
Repository Citation
Stoeckel LE, Brewer JA. (2014). Optimizing Real Time fMRI Neurofeedback for Therapeutic Discovery and Development [preprint]. UMass Chan Medical School Faculty Publications. https://doi.org/10.1101/003400. Retrieved from https://escholarship.umassmed.edu/faculty_pubs/1574
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License
Included in
Mental Disorders Commons, Nervous System Diseases Commons, Neuroscience and Neurobiology Commons, Psychiatry Commons, Therapeutics Commons
Comments
Full author list omitted for brevity. For the full list of authors, see article.