@article{868c33ca6a1f490796732d5c66d37a60,
title = "Optimizing real time fMRI neurofeedback for therapeutic discovery and development",
abstract = "While reducing the burden of brain disorders remains a top priority of organizations like the World Health Organization and National Institutes of Health, 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 = "Brain-computer interface, Neurofeedback, Neurotherapeutic, Real time fMRI",
author = "Stoeckel, {L. E.} and Garrison, {K. A.} and S. Ghosh and P. Wighton and Hanlon, {C. A.} and Gilman, {J. M.} and S. Greer and Turk-Browne, {N. B.} and Debettencourt, {M. T.} and D. Scheinost and C. Craddock and T. Thompson and V. Calderon and Bauer, {C. C.} and M. George and Breiter, {H. C.} and S. Whitfield-Gabrieli and Gabrieli, {J. D.} and Laconte, {S. M.} and L. Hirshberg and Brewer, {J. A.} and M. Hampson and {Van Der Kouwe}, A. and S. MacKey and Evins, {A. E.}",
note = "Funding Information: The ideas for this paper were developed at a workshop in July 2013 supported by the Radcliffe Institute for Advanced Study. Support was also provided in part by the National Institutes of Health : K23DA032612 (LES); K24DA030443 (AEE); R21DA030523 (AEE, JDG); R21/33DA026104 (HCB, AK); K01 DA034093 (JMG), K24DA029262 (SM), R01 AT007922-01 (JAB), R03 DA029163-01A1 (JAB), K12 DA00167 (JAB), P50 DA09241 (JAB), R01 AA02152901A1 (SML), R01 MH095789 (MH), 5R21DA026085 (MG), the Norman E. Zinberg Fellowship in Addiction Psychiatry at Harvard Medical School (LES, JMG), philanthropic donations from the Poitras Center for Affective Disorders Research (SWG), the Charles A. King Trust (LES), the McGovern Institute Neurotechnology Program (SG, JDG, AEE), and private funds to the Massachusetts General Hospital Department of Psychiatry (AEE). Research presented in this paper was also carried out in part at the Athinoula A. Martinos Center for Biomedical Imaging at the Massachusetts General Hospital, using resources provided by the Center for Functional Neuroimaging Technologies , P41RR14075 , a P41 Regional Resource supported by the Biomedical Technology Program of the NIH National Center for Research Resources (NCRR). ",
year = "2014",
doi = "10.1016/j.nicl.2014.07.002",
language = "English (US)",
volume = "5",
pages = "245--255",
journal = "NeuroImage: Clinical",
issn = "2213-1582",
publisher = "Elsevier BV",
}